JP2005121368A - Method for detecting presence of colored ophthalmic lens - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method capable of automating and highly accurately implementing the detection of the presence or absence of ophthalmic lenses in a housing case, the number of present ophthalmic lenses, or their types without visual inspection with human eyes. <P>SOLUTION: The housing case 22 to be detected is irradiated with inspecting light of the visible light region, and transmitted light or reflected light from the housing case 22 is imaged by a color image sensor. The presence or absence of colored ophthalmic lenses 24 in the housing case 22, the number of present ophthalmic lenses, or their types are determined based on acquired R values, G values, and B values. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a method for detecting the presence or the like of a colored ophthalmic lens, and in particular, to detect the presence or absence, the number of lenses or the type of lens in a storage case of a colored ophthalmic lens with high accuracy. It is about the method that can be done.

  As is well known, ophthalmic lenses, especially contact lenses, are treated as medical devices because they require important functions such as being worn on the human eye to correct vision. In order to ensure the required quality before reaching the wearer's hand and being used, it is stored in a predetermined storage case and is strictly stored and transported.

  At the time of packaging or shipping such an ophthalmic lens, a storage case that does not contain an ophthalmic lens is conventionally treated as containing an ophthalmic lens, or an eye that has an incorrect standard or quality. For the purpose of preventing the occurrence of problems such as providing ophthalmic lenses etc. to the user, it is necessary to appropriately check and inspect the presence / absence of ophthalmic lenses in the storage case, the number of ophthalmic lenses, the type of ophthalmic lenses, etc. In practice, such confirmation / inspection work is generally carried out visually by the operator. For this reason, not only may there be a risk of artificial inspection errors due to eye fatigue or poor physical condition of the operator, but it may also reduce the productivity of ophthalmic lenses and cause an increase in manufacturing costs. It has become one.

  In particular, in recent years, disposable lenses that can be exchanged in a short period of time have become widespread due to their ease of use and the ability to easily replace them with new lenses. From this point, further improvement in productivity and cost reduction are demanded. For this reason, prior to shipment from the manufacturer, there is a strong demand for the realization of a system that can automatically detect the presence of the ophthalmic lens in the storage case, not by the operator's visual inspection, but by a mechanical device. It is coming.

  In JP-A-7-325161 (Patent Document 1) and JP-A-8-2514 (Patent Document 2), a package is illuminated with scattered light or diffused light, and a lens image at that time is subjected to image processing. Thus, a method for inspecting the presence or absence of a lens is disclosed in Japanese Patent Application Laid-Open No. 2-257007 (Patent Document 3). The technique to be performed is clarified. However, in those methods, the image captured by the camera is subjected to image processing by black-and-white gray processing or black-and-white binarization processing, and after the image processing, a lens image (hue difference) required for inspection is calculated. In some cases, a recognizable image) could not be obtained. For this reason, particularly when lenses of different colors are accommodated, when the lenses overlap each other, or when a lens having a lens thickness different from the specified value is accommodated, it is difficult to accurately detect the lens. It was.

  In addition, JP 2000-177720 A (Patent Document 4), JP 2000-338260 A (Patent Document 5), and US Pat. No. 6,124,594 (Patent Document 6) describe a lens in a package. In addition, methods for inspecting the presence or absence of lenses by irradiating electromagnetic radiation (such as ultraviolet light and infrared light) and measuring fluorescence emission or detecting measurement spectra have been proposed. This method requires special equipment such as a radiation source and is expensive.

JP 7-325161 A JP-A-8-2514 JP-A-2-257007 JP 2000-177720 A JP 2000-338260 A US Pat. No. 6,124,594

  Here, the present invention has been made in the background of such circumstances, the problem to be solved is the detection of the presence or absence of the ophthalmic lens in the storage case, the number of existing lenses, or the type, The object is to provide a method that can be automated and can be carried out with high accuracy, rather than a visual inspection by the human eye.

  And this invention was made | formed in order to solve the above subjects, Comprising: The place which makes the 1st aspect the presence or absence of the presence of the colored ophthalmic lens in a storage case exists It is a method for detecting at least one of the number and type, and (A) a step of irradiating inspection light in a visible light region to a storage case to be detected, and (B) the irradiated inspection A step of imaging light transmitted or reflected from the storage case with a color image sensor to obtain RGB data composed of an R value, a G value, and a B value; and (C) from the obtained RGB data And a method for detecting the presence or absence of a colored ophthalmic lens in the storage case, and a step of determining at least one of the number and type of the colored ophthalmic lens. .

  In the second aspect of the method for detecting the presence or the like of a colored ophthalmic lens according to the present invention, (D) RGB data of the colored ophthalmic lens is acquired in advance, and the RGB data of the colored ophthalmic lens is obtained. The method further includes a step of setting at least one reference value for determining at least one of the presence / absence of the colored eye lens, the number of existing lenses, and the type in the storage case. .

  Furthermore, in the third aspect of the method for detecting the presence or the like of a colored ophthalmic lens according to the present invention, a color extraction process is performed on a color image displayed based on the RGB data of the storage case. Based on the number of pixels of the extracted color, at least one of the presence / absence, the number and type of the colored eye lens in the storage case is determined.

  In addition, in the fourth aspect of the present invention, the RGB data of the storage case is converted into hue (H), saturation (S), and brightness (I), and the storage case is based on the HSI data. At least one of the presence / absence of the colored eye lens, the number of existing lenses, and the type is determined.

  In the fifth aspect of the method for detecting the presence or the like of a colored ophthalmic lens according to the present invention, the inspection light is light that causes color rendering, and the color of the colored ophthalmic lens is changed by the color rendering light. A configuration is employed.

  Furthermore, in a preferred sixth aspect of the present invention, the color rendering light has a dominant wavelength that is at least 50 nm higher or lower than the dominant wavelength of the color of the colored ophthalmic lens.

  And according to the first aspect described above in the detection method of the presence of the colored ophthalmic lens according to the present invention, the transmitted light obtained by irradiating the inspection light in the visible light region to the storage case as the detection target or The reflected light is imaged using a color camera or the like with a built-in color image sensor, and a determination is made based on the R value, G value, and B value of each pixel of the captured color image. Therefore, it is possible to easily recognize a difference in hue that has been difficult to discriminate in conventional image processing such as black and white gray processing and black and white binarization processing. Even in the case of a lens, a storage case in which it is stored and a storage case in which it is not stored can be distinguished with excellent accuracy. That is, it is possible to automatically determine the presence / absence of the colored eye lens with excellent accuracy. Similarly, depending on the number of lenses accommodated in the storage case and the type of lens (for example, different color lenses or lenses having different thickness values), the hue and shade of the color are different. Even when detecting the number and type of colored ophthalmic lenses in the storage cases, the detection can be easily performed with sufficient accuracy based on the R value, the G value, and the B value.

  In addition, if the first aspect is adopted, a storage case in which no ophthalmic lens is accommodated, a storage case in which the number of ophthalmic lenses is accommodated, or a storage case in which an incorrect type of ophthalmic lens is accommodated It is extremely easy to remove non-conforming products such as those from the production line, and this makes it extremely advantageous to provide a storage case that does not contain an ophthalmic lens or an incorrect lens to users. It can be prevented.

  In addition, according to the second aspect of the present invention, if a reference value for determining the presence or the like of a colored ophthalmic lens is set, the color of the colored ophthalmic lens can be more accurately identified or easily extracted. The effects of the first aspect as described above can be obtained more advantageously.

  Further, according to the third aspect of the detection method for the presence or the like of a colored ophthalmic lens according to the present invention, if the presence or the like of a colored ophthalmic lens is detected from the number of pixels of the obtained extracted color, the accuracy can be further improved. Will be.

  In addition, according to the fourth aspect of the method for detecting the presence or the like of the colored ophthalmic lens according to the present invention, the shadow due to the shape of the inspection object, the variation in the illuminance distribution of the inspection light (illumination light), and the light amount It is possible to advantageously prevent adverse effects due to illumination unevenness such as attenuation.

  Further, according to the fifth and sixth aspects of the present invention, color rendering occurs, the sensitivity is improved, and the difference due to the presence or absence of an ophthalmic lens, the difference in the number of existing lenses, the difference in type, etc. are further clarified. Become. Therefore, the presence of the colored ophthalmic lens can be detected with higher accuracy.

  Hereinafter, in order to clarify the present invention more specifically, embodiments of the present invention will be described in detail with reference to the drawings.

  First, FIG. 1 shows the presence / absence and number of colored ophthalmic lenses (here, contact lenses) in the storage case, and the types of lenses (for example, different color lenses and lenses having different thicknesses). ) And the like can be automated, and an explanatory diagram functionally showing an ophthalmic lens inspection system according to an embodiment of the present invention is schematically shown. The ophthalmic lens inspection system 10 includes an illumination device 12, an imaging device 14, a data processing device 16, a display device 18, and an input device 20.

  More specifically, the illumination device 12 is a device for irradiating the storage case 22 with inspection light (illumination light) in the visible light region under a certain environment. The case 22 is illuminated by irradiating the case 22 with the inspection light. And as such an illuminating device 12, various conventionally well-known illuminating devices which can irradiate at least the light of visible region (380-780 nm), Especially, attenuation of light quantity is small according to use conditions etc. Those having long life and stable wavelength can be suitably used. For example, high-frequency illumination such as a fluorescent lamp, strobe light, light emitting diode, halogen lamp, xenon lamp, etc. I can do it. In addition, in order to improve the detection accuracy, the illumination device 12 includes stabilization of power supply, equipment for blocking external light other than inspection light, and light amount measurement for monitoring the light amount of inspection light after long-term use. A device may be provided.

  Further, as described above, the inspection light emitted from such an illuminating device 12 includes at least light in the visible light region (380 to 780 nm) and is particularly limited as long as it can illuminate the case 22. It is not limited to white light such as standard light prescribed by the CIE (International Commission on Illumination) or colored light having a narrow bandwidth or a relatively wide bandwidth. There is no problem. Especially when it is difficult to detect with ordinary white light, among such inspection lights, light that causes color rendering (color rendering light), that is, light that causes a change in the color of an object is suitable. Adopted. More specifically, depending on the color of the contact lens 24 accommodated in the case 22, the dominant wavelength of the color of the contact lens 24 (transmitted light or reflection from the contact lens 24 when irradiated with white light) Light having a dominant wavelength that is at least 50 nm longer than or shorter than the dominant wavelength of the light, more preferably, 50 to 80 nm longer or 50 to 80 nm shorter than the dominant wavelength of the color of the contact lens 24. Therefore, the light having the above is suitably employed as the inspection light.

  For example, when a contact lens having a dominant wavelength in the vicinity of 460 to 520 nm and colored in a blue to green color is used as the contact lens 24, the main wavelength is 50 nm or more longer than the dominant wavelength of the color. Yellow green to red light having a wavelength, blue violet to violet light having a main wavelength shorter than 50 nm, and the like can be suitably selected as the inspection light.

  By irradiating such specific inspection light (color rendering light), a color shift occurs due to the color rendering of the inspection light, and the color of the colored contact lens 24 in the storage case 22 is changed. Specifically, if a green colored contact lens is irradiated with red colored light, the color of the contact lens is shifted to yellow. In this way, the detection of the presence of the target colored ophthalmic lens is detected, and in particular, the number of existing lenses and their types (for example, different colors) that are difficult to determine when the test light such as white light is irradiated. This makes it easier to discriminate between lenses and lenses having different thickness values, thereby improving sensitivity and enabling detection with higher accuracy.

  In order to irradiate the storage case 22 with such inspection light having a desired main wavelength, an illumination device having a light source that can exclusively generate light having the target main wavelength can be selected. In addition, an illumination device or the like in which a filter capable of transmitting light having a target main wavelength is disposed between the light source and the storage case 22 as an inspection object can be appropriately selected and used. Needless to say.

  Thus, the inspection light emitted from the illumination device 12 is applied to the storage case 22, and transmitted light or reflected light from the storage case 22 of the irradiated inspection light is detected by the imaging device 14. It is like that. Here, as the imaging device 14, various conventionally known imaging devices that can detect the reflected or transmitted light in the visible light region with each signal component of red, green, and blue are adopted. For example, a color camera incorporating a color image sensor such as a CCD can be appropriately selected and used.

  In the present embodiment shown in FIG. 1, since the imaging device 14 and the illumination device 12 are both disposed above the storage case 22, the inspection light emitted from the illumination device 12 is Reflected light from the case 22 is detected by the imaging device 14. For this reason, in the present embodiment, the entire storage case 22 is placed on the white plate 26 that can reflect light advantageously so that the reflected light from the case 22 can be obtained advantageously. is there.

  As shown in FIG. 1, the data processing device 16 includes an image input unit 28 to which a signal from the imaging device 14 is input, a CPU 30 for executing arithmetic processing, a memory such as a ROM 32 and a RAM 34, a disk 36, a mouse. A normal computer composed of an operation input unit 38 to which signals from the input means 20 such as a keyboard and the like are input, an output unit 40 to output signals to the display device 18 such as a CRT, and the like is used as appropriate. It becomes. In such computers, detection of the presence or the like of the colored contact lens 24 is advantageously realized by executing an image processing program as described later.

  In order to detect the presence / absence of the colored contact lens 24 in the storage case 22 by using the ophthalmic lens inspection system 10 as described above, first, the colored contact lens 24 to be detected should be detected. The inspection light in the visible light region is irradiated on the storage case 22 in which the sheets are stored from above. Thereby, the storage case 22 is illuminated and the reflected light is received by the imaging device 14.

  Then, when each of the red, green, and blue signal components is detected by the imaging device 14 and the storage case 22 is imaged, the image data including the red, green, and blue signal components is captured by the imaging device. 14 is sent to the image input unit 28 of the data processing device 16 connected to 14, and RGB data composed of R value, G value, and B value is acquired. At this time, the data processing device 16 performs A / D conversion on the image data of the imaging region obtained by the imaging device 14 and decomposes the data into R value, G value, and B value for each pixel. In the present embodiment, the R value, the G value, and the B value each have an 8-bit information amount, and their shades are represented by 256 gradations from 0 to 255, respectively. For this reason, if RGB data composed of R value, G value, and B value is used, a significantly superior accuracy is realized as compared with the case of monochrome gray processing having a resolution of 256 colors. is there.

  Further, the image data input to the data processing device 16 is D / A converted at the output unit 40 of the data processing device 16 and output to the display device 18 as an original image as shown in FIG. It has become. Furthermore, a pointer 42 that can move on the screen of the display device 18 is displayed so as to be superimposed on the original image. However, although the original image is shown as a black and white image in FIG. 2, a color image is actually displayed on the display device 18.

  Furthermore, in the present embodiment, by operating the mouse of the input device 20, by pointing a pixel in the region of the colored contact lens (24) displayed on the display device 18, such a pixel is selected and displayed on the screen. The color you want to detect is specified. At this time, the number of pixels to be selected by operating the mouse of the input device 20 is not particularly limited, and one pixel can be selected, or a plurality of pixels can be selected by operating the mouse such as drag and drop. You can also do it.

  When the extraction color is designated, the CPU 30 of the data processing device 16 uses the R value, G value, and B value of the selected pixel as reference values (R1, G1, B1) for extracting the same color, respectively. ). At this time, when only one pixel is selected, the R value, G value, and B value of that pixel become the reference values as they are. For example, if only one pixel at point A in the colored contact lens (24) region shown in FIG. 2 is selected, R = 170, G = 255, B = 170 will be the reference values (R1, G1, B1), and When only one pixel at point B is selected, R = 190, G = 255, and B = 190 become reference values (R1, G1, B1). When a plurality of pixels are selected, a range defined by the maximum value and the minimum value of the R value, G value, and B value of the entire area of the selected pixel is set as the reference value. For example, when a portion from point A to point B in the colored contact lens (24) region shown in FIG. 2 is selected, R = 170 to 190, G = 255, and B = 170 to 190 are set to the reference value (R1, G1, B1), and the reference values (R1, B1) of the R value and the B value are values having a width, respectively. The reference value thus set is stored in the memory.

  Note that the upper and lower limit tolerances may be set in advance so that the reference value set as described above is widened by a predetermined width. In this case, the R of the selected pixel is set. It is also possible to set a reference value by adding / subtracting predetermined addition / subtraction values to the value, G value and B value, respectively. For example, for each of the R value, the G value, and the B value, a histogram is displayed, and an operation for setting an upper limit value and a lower limit value so as to include the value of the selected pixel is performed. Although it can be set, the tolerance setting is not limited to such a method. Of course, it goes without saying that as the range of the reference value increases, even in the original image, even if the pixels have different colors, they tend to be judged as the same color.

  Further, the CPU 30 of the data processing device 16 of the present embodiment uses the set reference values (hereinafter, R1 = 170, G1 = 255, and B1 = 170 will be described as examples). Then, the RGB data acquired previously is processed to extract the same color as the color of the pixel selected by the input means 20 and the number of extracted pixels is counted. Further, the obtained value (number of measured pixels) is stored in a memory.

  As described above, after obtaining the RGB data of the colored contact lens 24 to be detected for the presence / absence and setting the reference value for determining the presence / absence of the colored contact lens 24 in advance, The storage case 22 is inspected. That is, first, in the same manner as described above, the inspection light is applied to the storage case 22 where the presence or absence of the colored contact lens 24 is unknown, in other words, the storage case 22 where it is not known whether the colored contact lens 24 is stored. Is irradiated. Next, the reflected light from the case 22 of the irradiated inspection light is imaged by the imaging device 14, and the RGB data of the storage case 22 to be detected is input to the data processing device 16.

  When such RGB data is input to the data processing device 16, the CPU 30 of the data processing device 16 performs arithmetic processing using the previously set reference value and extracts the same color as the colored contact lens 24. If the same color is extracted, it is determined that the predetermined colored contact lens 24 exists in the storage case 22, and if it is not extracted, it is determined that it does not exist. At this time, if the number of pixels of the extracted color is counted and the presence / absence of the colored contact lens 24 is determined based on the counted number of pixels, more advanced detection can be performed. In the embodiment, the presence or absence of the colored contact lens 24 is determined from the value of the number of pixels of the extracted color. Further, the image composed of the image data subjected to the color extraction processing by the CPU 30 of the data processing device 16, the counted number of pixels, and the determination result are displayed on the display device 18 via the output unit 40 of the data processing device 16. An example of the display result is shown in FIG. In FIG. 3, only the portion of the same color as the reference value (R1 = 170, G1 = 255, B1 = 170) is displayed, and a part of the colored contact lens 24 is displayed in an annular shape. The counted number of pixels “1500” and the determination result “present” indicating the presence of the colored contact lens 24 are displayed. The determination result may be output to another output device by connecting the data processing device 16 to another output device such as a warning device.

  Incidentally, FIG. 4 shows an operation flowchart of the CPU 30 of the data processing device 16 for performing the data processing as described above. The CPU 30 of the data processing device 16 first takes in the R value, G value, and B value (RGB data) of each pixel of the image captured (captured) by the imaging device 14 and stores it in the memory ( Step: S1).

  Next, the reference values (R1, G1, B1) set as described above are retrieved from the memory (step: S2), and the pixel located at the upper left corner of the image is set as a processing target (step: S3). Then, it is determined whether or not the R value of the pixel to be processed satisfies R = R1 (step: S4). If not, it is determined that it is not an extracted color, and x = 1 (step 1). : S5). On the other hand, if it is satisfied, subsequently, it is determined whether the G value of the pixel to be processed satisfies G = G1 (step: S6). x = 1 is set (step: S5). When G = G1 is satisfied, it is subsequently determined whether or not the B value of the pixel to be processed satisfies B = B1 (step: S7). X = 1 (step: S5). When B = B1 is satisfied, it is determined that the color is an extracted color, x = 0 is set (step: S8), the number of extracted color pixels (k) is counted, and an initial value: k = 0 is substituted, k = 1 is set (step: S9).

  Thereafter, it is determined whether or not there is a pixel that has not been subjected to the arithmetic processing as described above in the image captured by the imaging device 14 (step: S10). If such a pixel exists, the horizontal direction is determined. Or the pixel at the leftmost portion of the scanning line adjacent in the vertical direction is set as a processing target (step: S11), and the process returns to step: S4. On the other hand, when there is no pixel that has not undergone arithmetic processing, a pixel with an extracted color, that is, a pixel with x = 0 is set to a predetermined color (here, black so as to be a black and white image). Also, color extraction processing is performed so that pixels that are not extracted colors, that is, pixels with x = 1 have a different color from the pixels with x = 0 (here, white so as to be a black and white image). The image subjected to is output to the display device 18 (step: S12). Further, the number of pixels counted as the extracted color is output to the display device 18 (step: S13).

  On the other hand, the CPU 30 fetches from the memory the number of measured pixels obtained from the RGB data of the colored contact lens 24 to be detected for presence / absence in advance (step S14), and indicates the presence of the colored contact lens 24. A threshold for the number of extracted color pixels (reference pixel number): k1 is set for determining the presence or absence (step: S15). Note that the threshold (k1) of the number of extracted color pixels is, for example, a value that is multiplied by or subtracted from the number of measured pixels in consideration of the risk factor when the operator determines the presence or absence of the colored contact lens 24. It can be freely set by setting a value or the like.

  Next, it is determined whether or not the number of extracted color pixels (k) in the image obtained by imaging the storage case 22 that is the detection target is larger than the threshold (k1), that is, whether or not k> k1 is satisfied (step). : S16), if satisfied, it is determined that the colored contact lens 24 to be detected is present in the storage case 22, and the determination result "Yes" is output to the display device 18 (step: S17), and the process ends. If not satisfied, it is determined that the colored contact lens 24 to be detected does not exist in the storage case 22, and the determination result “no” is output to the display device 18 (step: S18), and the process is terminated. It has become.

  Thus, from the output result, it becomes possible to remove the storage case 22 (non-conforming product) in which no colored contact lens 24 is stored from the production line, and the storage case 22 not including the contact lens 24 is used by the user or the like. It is possible to very advantageously prevent such a situation from being provided.

  Therefore, if such an inspection system or detection method is adopted, the detection of the presence of the colored contact lens 24 and the like can be advantageously automated, enabling its rapid implementation and a large labor cost for the work. Thus, an advantage that the reduction of the cost of the contact lens 24 can be realized can be realized.

  Further, since the RGB data is used to determine the presence / absence of the colored contact lens 24, the difference in hue, which is difficult to distinguish in the conventional black-and-white gray processing and black-and-white binarization processing, can be easily performed. Even in a contact lens colored with a light color, it is possible to determine the presence / absence of the contact lens with excellent accuracy.

  In addition, in this embodiment, the storage case 22 in which the colored contact lens 24 is stored is imaged in advance, and a reference value (R1, G1, B1, or k1 in the present embodiment) is set from the RGB data, Since the determination of the colored contact lens 24 is performed using the reference value, the sensitivity is improved, and the determination can be performed with even better accuracy.

  By the way, in such a detection method, the contact lens 24 to be inspected for its presence or the like is not colorless and transparent and is not colored so as not to interfere with vision correction. Can also be the target. Among such lenses, a contact lens colored with a blue to green color having a dominant wavelength in the vicinity of 460 to 520 nm can be suitably employed. This is because the contact lens 24 colored in such a color can be detected with excellent sensitivity and can be easily discriminated by the eye of the wearer.

  The storage case 22 is not particularly limited as long as it is not colored in the same color as the contact lens 24 and can transmit or reflect the inspection light. Any of the conventionally used storage cases for ophthalmic lenses, such as white translucent and colorless and transparent, can be advantageously employed. The storage case 22 shown in FIG. 1 is a container called “blister package” or “blister case” generally used for storing disposable contact lenses, and is a hemispherical concave opening upward. A rectangular flat plate portion 46 made of plastic provided with a point 44 and a leg portion 48 integrally projecting downward from the peripheral edge of the flat plate portion 46, and the center of the rectangular flat plate portion 46. A hemispherical recess 44 provided in the portion is a lens housing portion. The lens housing portion can accommodate a colored contact lens 24 and a storage solution 50 for storing the contact lens 24.

  In the present embodiment, in the state where the contact lens 24 is immersed in the colorless and transparent storage solution 50, detection or inspection operation of the presence of the contact lens 24 in the storage case 22 is performed. -ing When detection is performed in the presence of the storage solution 50 as described above, the storage solution 50 is not colored in the same color as the contact lens 24 and can transmit or reflect inspection light. Any can be employed.

  Then, after such detection of the presence of the contact lens 24, the storage case 22 is placed on the flat surface of the flat plate portion extending radially outward of the opening so as to cover the opening of the lens storage portion. A plastic film made of polypropylene or the like, or a flexible sheet-like lid (not shown) such as an aluminum foil laminate is hermetically sealed by adhering by various conventionally known methods, and such a storage case 22. The contact lens 24 sealed inside is stored or transported in an aseptic state until it is opened by an operation such as autoclave sterilization.

  The exemplary embodiments of the present invention have been described in detail above. However, the embodiments are merely examples, and the present invention is limited in any way by specific descriptions according to such embodiments. It should be understood that it is not interpreted.

  For example, in the above embodiment, the storage case 22 in which the colored contact lens 24 is stored is imaged in advance, and by selecting a predetermined pixel from the RGB data obtained thereby, the reference values (R1, G1, Although B1) is set, it is also possible to set reference values for the R value, the G value, and the B value by an input operation by the operator.

  In the above example, it is determined whether the R value, G value, and B value of each pixel match the reference values (R1, G1, B1). However, a plurality of reference values are set. Then, pixels of a predetermined color may be extracted using those reference values as threshold values. For example, two reference values may be set for each of the R value, the G value, and the B value, and pixels that satisfy the conditions of all the threshold values may be extracted using the two reference values as the upper and lower threshold values.

  Furthermore, in the above embodiment, it is determined whether the R value, G value, and B value of each pixel match the reference values (R1, G1, B1), respectively, and the extracted color (x = 0) or Although the binarization (color binarization) of the non-extracted color (x = 1) was performed, while the extracted color is set to the maximum gradation, the non-extracted color is classified as the hue or density deviates from the extracted color. It may be converted into a multi-tone image, for example, a 256-tone gray image (color shading process) so that the tone becomes lower.

  In addition, in the above example, only the R value, the G value, and the B value of the RGB data are used as parameters, and the color extraction process or the color discrimination process is performed. However, the R value, the G value, and the B value are performed. In addition, the difference between them (RG, GB, RB, etc.) can also be used as a parameter. In this way, if the 4 to 6 parameters including at least one of the differences among the three parameters of the R value, the G value, and the B value are used, a color having different brightness or a hue even in the same hue It becomes possible to detect white, black, gray, or the like without any more stably. Therefore, it is less susceptible to adverse effects caused by illumination unevenness such as shading due to the shape of the inspection object, variation in the illuminance distribution of the inspection light (illumination light), and attenuation of the amount of light. The presence can be detected.

In addition, R, G, and B values can be substituted for the R value, G value, and B value, and the three attributes of hue (H), saturation (S), and lightness (I) that match the human color sense. It is also possible to use HSI data consisting of these H value, S value and I value. As described above, even when the colored eye lens is detected using the HSI data, the shadow due to the shape of the inspection object, the variation in the illuminance distribution of the inspection light (illumination light), and the attenuation of the light amount are detected. The presence of the colored ophthalmic lens can be detected with higher accuracy because it is less susceptible to adverse effects such as illumination unevenness. When using HSI data, it is possible to use all of the H value, S value and I value as parameters, but the hue (H) representing the dominant wavelength of the color and the saturation (S representing the stimulation purity) It is also possible to perform color extraction with only two parameters. Here, as a method for converting the R value, the G value, and the B value into the H value, the S value, and the I value, any conventionally known methods can be employed. It is possible to convert using the chromaticity diagram shown in FIG.
I = 0.299R + 0.587G + 0.114B (I)
T ₁ = R / (R + G + B) (II)
T ₂ = G / (R + G + B) (III)
However, in FIG. 5, W (1/3, 1/3) represents a white point, and a line segment connecting the W point and the P point calculated by the above formulas (II) and (III), The angle formed with the T ₁ axis is the hue (H), and the length of the line segment is the saturation (I).

  Furthermore, in the said embodiment, although the method which detects only the presence or absence of the colored contact lens 24 using the ophthalmic lens test | inspection system 10 shown by FIG. 1 was explained in full detail, in the storage case 22, (a) When a plurality of colored contact lenses 24 are accommodated, (b) colored contact lenses of different colors or colored contact lenses made of the same material have different thicknesses due to differences in design or power (standard). Even in the case where different types of colored contact lenses 24 such as colored contact lenses having different prescribed values are accommodated, the storage case 22 in which only one target colored contact lens 24 is accommodated, and the hue and color The shade of is different. Therefore, not only the presence / absence of the colored contact lens 24 but also the number of the colored contact lenses 24 and the type of the colored contact lenses 24 are detected easily and with sufficient accuracy based on the RGB data. I can do it. In the present invention, at least one of the presence / absence, the number of existing lenses, and the type of the colored ophthalmic lens is detected. In addition, at the same time as the presence / absence of an ophthalmic lens, an examination when a plurality of ophthalmic lenses are accommodated, or an examination when an ophthalmic lens of a different type from the intended ophthalmic lens is accommodated In such a case, for example, a plurality of reference values as described above may be set and the determination may be performed in multiple stages.

  In addition, in the storage case 22 shown in FIG. 1, the contact lens 24 is stored as an ophthalmic lens. However, the type of the contact lens is not limited in any way. Soft contact lenses and hard contact lenses classified into all of the water content and the like can be targeted, and the material of the contact lenses is not questioned at all in applying the present invention. In addition to contact lenses, known ophthalmic lenses, such as intraocular lenses, can also be targeted.

  In FIG. 1, since the illumination device 12 and the imaging device 14 are installed above the storage case 22, the imaging device 14 can detect reflected light from the storage case 22. However, the illumination device 12 is installed below the storage case 22 and the imaging device 14 is installed above the storage case 22, or the illumination device 12 is installed above the storage case 22 and the imaging device 14 is installed By installing the storage case 22 below, the transmitted light transmitted through the storage case 22 can also be detected. In this case, the white plate 26 for reflecting the inspection light is not necessary, and even the storage case 22 is capable of transmitting at least the inspection light in the visible light region.

  Further, in the above example, the presence of the contact lens 24 is detected in the open state, but if the cover of the storage case can transmit the inspection light, the detection is performed in the closed state. It is also possible.

  In addition, if the storage and removal of the storage case 22 into the ophthalmic lens inspection system as described above and the discharge of the problematic storage case 22 (non-conforming product) are automated by a conventionally known method, it is completely possible. Inspection in the storage case 22 can be performed without manual intervention, and defective products can be eliminated. Thus, automation from manufacturing to shipping, which has been difficult in the past, can be advantageously realized. In this case, the data processing device 16 is provided not only with a function for determining the presence of the contact lens 24 but also with a control function such as timing control for detecting reflected light or transmitted light to the imaging device 14. Also good.

  Further, according to the present invention, when detecting the presence or absence of the colored ophthalmic lens, a commercially available image processing apparatus, such as a color image sensor CV-700 manufactured by Keyence Corporation, It is also possible to use it.

  In addition, although not listed one by one, the present invention can be implemented in a mode with various changes, modifications, improvements, and the like based on the knowledge of those skilled in the art. It goes without saying that all are included in the scope of the present invention without departing from the spirit of the invention.

It is explanatory drawing which shows roughly an example of the ophthalmic lens test | inspection system used when detecting presence etc. of a colored contact lens according to this invention method. It is a partial notch explanatory drawing which shows the state which output the original image of the storage case used as a detection target on the monitor screen of a display apparatus using the ophthalmic lens test | inspection system shown by FIG. It is a partial notch explanatory drawing which shows the state which output the result obtained by detecting the presence or absence of a colored contact lens using the ophthalmic lens test | inspection system shown by FIG. 1 on the monitor screen of a display apparatus. It is a flowchart which shows the flow until it detects the presence or absence of a colored contact lens using the ophthalmic lens test | inspection system shown by FIG. It is a chromaticity diagram for demonstrating an example of the method of converting RGB data into HSI data.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Lens inspection system for eyes 12 Illumination device 14 Imaging device 16 Data processing device 18 Display device 20 Input device 22 Storage case 24 Colored contact lens

Claims (6)

A method for detecting the presence / absence of a colored ophthalmic lens in a storage case, at least one of the number and type of the lens,
Irradiating inspection light in the visible light region to the storage case to be detected; and
Imaging the transmitted or reflected light of the irradiated inspection light from the storage case with a color image sensor to obtain RGB data comprising an R value, a G value, and a B value;
Determining from the obtained RGB data at least one of the presence / absence of the colored ophthalmic lens in the storage case, the number of existing lenses, and the type thereof,
A method for detecting the presence or the like of a colored ophthalmic lens, comprising:   RGB data of the colored eye lens is acquired in advance, and at least one of presence / absence, number of existing and type of the colored eye lens in the storage case is determined from the RGB data of the colored eye lens The method for detecting the presence or the like of a colored ophthalmic lens according to claim 1, further comprising a step of setting at least one reference value to be used.   The color image displayed based on the RGB data of the storage case is subjected to color extraction processing, and from the number of pixels of the obtained extracted color, the presence or absence of the colored eye lens in the storage case, the number of existing And a method for detecting the presence or the like of the colored ophthalmic lens according to claim 1, wherein at least one of the type and the type is determined.   The RGB data of the storage case is converted into hue (H), saturation (S), and brightness (I), and based on the HSI data, the presence / absence of the colored eye lens in the storage case and the number of existing lenses The method for detecting the presence or the like of a colored ophthalmic lens according to any one of claims 1 to 3, wherein at least one of the color and the type is determined.   The detection of the presence or the like of a colored ophthalmic lens according to any one of claims 1 to 4, wherein the inspection light is light that causes color rendering, and the color of the colored ophthalmic lens is changed by the color rendering light. Method. The method for detecting the presence or the like of a colored ophthalmic lens according to claim 5, wherein the color rendering light has a dominant wavelength that is at least 50 nm higher or lower than the dominant wavelength of the color of the colored ophthalmic lens.

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