CN115908166A - Two-dimensional code image processing method and device, electronic equipment and storage medium - Google Patents

Abstract

The application provides a two-dimensional code image processing method and device, electronic equipment and a storage medium. The two-dimensional code image processing method comprises the following steps: acquiring a two-dimensional code RAW image; focusing the two-dimensional code RAW image by taking a two-dimensional code area as a center to obtain a focused first two-dimensional code digital image; carrying out color equalization processing on the first two-dimensional code digital image to obtain a second two-dimensional code digital image; and performing image filtering on the second two-dimensional code digital image to extract a blue light channel so as to generate a two-dimensional code imaging image with the blue light channel. According to the method and the device, the algorithm complexity and the redundant calculation amount can be saved, and the balance between the image effect and the calculation cost is realized.

Description

Two-dimensional code image processing method and device, electronic equipment and storage medium

technical field

The present application relates to the technical field of image processing, in particular to a two-dimensional code image processing method and device, electronic equipment and storage media.

Background technique

With the increasing abundance of mobile scenarios such as mobile shopping, mobile payment, and QR code payment, QR code technology has been integrated into most scenarios of our lives. By scanning the QR code with a mobile phone, we can easily complete information acquisition or mobile payment. The QR code indirectly improves the efficiency of the entire society. The QR code is also affected by many physical factors during the scanning process, which leads to a decrease in recognition rate, such as ambient light, scanning distance, scanning angle, information incompleteness, and QR code image quality.

Digital imaging sensors have evolved from CCD technology to CMOS technology, and the product form of camera equipment has gradually evolved from SLR cameras, point-and-shoot cameras, card cameras to smart phones. The image collected by the digital imaging sensor is the original data image, which is very different from the image observed by the human eye, so the image signal processor (Image Signal Processor, ISP) technology was born. ISP can convert the original image (RAW image) with very poor quality Digital images that are processed to conform to the viewing characteristics of the human eye, among them, RAW images are sometimes called digital negatives. Usually, in order to obtain higher-quality two-dimensional code imaging images, the computing cost of the ISP system will also increase.

Therefore, how to achieve a balance between two-dimensional code imaging quality and computing cost has become an urgent technical problem in this field.

Contents of the invention

The present application provides a two-dimensional code image processing method and device, electronic equipment and a storage medium, which can solve the above deficiencies in the prior art.

In a first aspect, the present application provides a two-dimensional code image processing method. The method includes: acquiring a two-dimensional code RAW image; focusing on the two-dimensional code RAW image with the two-dimensional code area as the center, so as to obtain a focused first two-dimensional code digital image; performing color equalization processing on the two-dimensional code digital image to obtain a second two-dimensional code digital image; and performing image filtering on the second two-dimensional code digital image to extract a blue channel to generate a two-dimensional code with the blue channel imaging image. In this application, image focusing is first performed to obtain a high-quality QR code image, and then the image is filtered to extract the blue-ray channel to reduce redundant data, thereby saving algorithm complexity and redundant calculations.

In an implementation manner of the first aspect, performing image filtering on the second two-dimensional code digital image to extract the blue light channel includes: judging whether the second two-dimensional code digital image satisfies the blue light priority condition; If the Blu-ray priority conditions are not met, enable the Blu-ray priority mode for image filtering to extract the Blu-ray channel.

In an implementation manner of the first aspect, the method further includes: if the blue light priority condition is not satisfied, otherwise directly outputting the second two-dimensional code digital image as the two-dimensional code imaging image.

In an implementation manner of the first aspect, judging whether the second two-dimensional code digital image satisfies the blue light priority condition includes: acquiring an RGB histogram of the second two-dimensional code digital image; and, based on the RGB histogram The figure judges whether the Blu-ray component is dominant, and if so, the Blu-ray priority condition is satisfied; otherwise, the Blu-ray priority condition is not satisfied.

In this implementation, it is considered that the existing two-dimensional code images generally use electronic equipment as the carrier, and the screen medium of the electronic equipment generally has the characteristics of strong blue light and weak other components. Therefore, whether the blue light channel components in the RGB histogram Satisfy the Blu-ray priority condition, perform image filtering when the Blu-ray priority condition is met, and retain the Blu-ray channel data, which can indirectly reduce redundant data and reduce redundant calculations.

In an implementation manner of the first aspect, enabling the blue light priority mode to perform image filtering processing to extract the blue light channel includes: extracting an effective part of the blue light spectrum from the second two-dimensional code digital image to separate blue light components to form a blue light image; performing equalization processing on the blue light image; and outputting the equalized blue light image as the two-dimensional code imaging image. In this implementation, the blue light components are separated to form a blue light image, and then an equalization process is performed to improve the contrast of the image and improve the accuracy of subsequent two-dimensional code recognition.

In an implementation manner of the first aspect, performing image focusing on the two-dimensional code RAW image centered on the two-dimensional code area includes: identifying and marking the two-dimensional code area; adjusting optical system parameters to focus on the two-dimensional code area a code area; performing light metering centered on the two-dimensional code area; and performing distance measurement centered on the two-dimensional code area, so as to perform the image focusing.

In an implementation manner of the first aspect, adjusting the optical system parameters includes: adjusting the focus and viewing angle of imaging.

In an implementation manner of the first aspect, the method further includes: recognizing the output imaging image of the two-dimensional code, and obtaining the feature code.

In a second aspect, the present application provides a two-dimensional code image processing device. The device includes: an image acquisition module configured to acquire a two-dimensional code RAW image; an image focusing module configured to perform image focusing on the two-dimensional code RAW image centered on the two-dimensional code area to obtain a focused A first two-dimensional code digital image; a color equalization processing module configured to perform color equalization processing on the first two-dimensional code digital image to obtain a second two-dimensional code digital image; and an image filtering module configured to perform color equalization processing on the first two-dimensional code digital image; Image filtering is performed on the second two-dimensional code digital image to extract a blue light channel, so as to generate a two-dimensional code imaging image with the blue light channel.

In this application, the proposed two-dimensional code image processing device aims at the quality of the two-dimensional code image. An image focusing module is designed to focus the image to obtain high-quality two-dimensional code images. Secondly, an image filtering module is designed to be able to The color feature of the two-dimensional code image simplifies the image, realizes the balance between the image effect and the calculation cost, and simplifies the complexity of the image processing system at the same time.

In an implementation manner of the second aspect, the device further includes: a two-dimensional code recognition module configured to recognize the imaging image of the two-dimensional code to obtain the feature code.

In a third aspect, the present application provides an electronic device. The electronic device includes: a memory configured to store a computer program; and a processor configured to invoke the computer program to execute the two-dimensional code image processing method according to the first aspect of the present application.

In a fourth aspect, the present application provides a computer-readable storage medium on which a computer program is stored. The computer program is executed to implement the two-dimensional code image processing method according to the first aspect of the present application.

As mentioned above, according to the two-dimensional code image processing method and device, electronic equipment, and storage medium of the present application, by first performing the image focusing algorithm and then performing the image filtering algorithm, redundant data can be reduced while obtaining high-quality two-dimensional code images , save algorithm complexity and redundant calculation, and realize the balance between image effect and calculation cost.

Description of drawings

FIG. 1 is a schematic diagram of a scene where a two-dimensional code image processing method is applied to a scanning gun according to an embodiment of the present application.

Fig. 2 is a flowchart of a method for processing a two-dimensional code image according to an embodiment of the present application.

FIG. 3 is a flow chart of an image focusing algorithm centered on a two-dimensional code area in a two-dimensional code image processing method according to an embodiment of the present application.

FIG. 4 is a flow chart of an image filtering algorithm with blue light priority in the two-dimensional code image processing method according to an embodiment of the present application.

FIG. 5 is a screen medium displaying a two-dimensional code and related histograms according to an embodiment of the present application.

Fig. 6 is a structural block diagram of a two-dimensional code image processing device according to an embodiment of the present application.

FIG. 7 is a block diagram of an electronic device according to an embodiment of the present application.

Detailed ways

Embodiments of the present application are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification. The present application can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic idea of the application, and only the components related to the application are shown in the diagrams rather than the number, shape and size of the components in actual implementation Drawing, the type, quantity and proportion of each component can be changed arbitrarily during its actual implementation, and its component layout type may also be more complicated. Furthermore, in this document, relational terms such as "first", "second", etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that these entities or operations Any such actual relationship or order exists between.

The following embodiments of the present application provide a two-dimensional code image processing method, IPS system, electronic equipment, and media, which are applied to terminal equipment with a scanning function. The terminal equipment includes but is not limited to scanning guns, smart phones, PADs, etc., and the following will Take the scanning gun as an example for description.

FIG. 1 is a schematic diagram of a scene where a two-dimensional code image processing method is applied to a scanning gun according to an embodiment of the present application. The scanning gun 1 includes a digital imaging sensor and an image processing system. The image processing system acquires a two-dimensional code RAW image from the imaging sensor, and performs image processing and recognizes the two-dimensional code information. The image processing system can be an image signal processor, that is, an ISP . The two-dimensional code 2 may be a two-dimensional code printed on the surface of various objects, or a two-dimensional code displayed on a display screen of an electronic device.

The technical solutions in the embodiments of the present application will be described in detail below with reference to the drawings in the embodiments of the present application.

FIG. 2 is a flowchart of a method for processing a two-dimensional code image according to an embodiment of the present application. The two-dimensional code image processing method described in this embodiment includes the following steps S1 to S4.

In step S1, a RAW image of the two-dimensional code is acquired. The RAW image of the QR code can be captured by an imaging sensor.

In step S2, image focusing is performed on the two-dimensional code RAW image with the two-dimensional code area as the center, so as to obtain a first focused digital image of the two-dimensional code.

Step S2 is used for image focusing, so that the two-dimensional code area obtains more effective pixels, and the imaging quality is improved, thereby avoiding quality problems in the obtained two-dimensional code image due to the influence of many physical factors during the scanning process of the two-dimensional code.

In this embodiment, the image is focused on the two-dimensional code area, which can make the two-dimensional code image clear enough, and the screen ratio of the two-dimensional code exceeds the ideal threshold. In this embodiment, the ideal threshold is 50%. Technicians can adjust the size of the ideal threshold.

In step S3, color equalization processing is performed on the first two-dimensional code digital image to obtain a second two-dimensional code digital image.

Color equalization is to increase the brightness interval, make it evenly distributed, reduce the contrast, thereby correcting some deficiencies in the image and making the image details clear. The basic idea of color equalization is to merge the brightness level with less frequency into the adjacent brightness level, so as to widen the brightness interval, reduce the brightness level, make it evenly distributed, and weaken its contrast.

In step S4, image filtering is performed on the second two-dimensional code digital image to extract a blue light channel, so as to generate a two-dimensional code imaging image with the blue light channel.

In the above-mentioned two-dimensional code image processing method in this application, firstly focus on the image to obtain a high-quality two-dimensional code image, and then judge whether the image meets the blue light priority condition, and then enable the blue light priority mode to filter the image if the blue light priority condition is met. Reduce redundant data, thereby saving algorithm complexity and redundant calculation.

In another preferred embodiment, the two-dimensional code image processing method further includes step S5 on the basis of the above steps S1 to S4.

In step S5, the imaged image of the two-dimensional code is recognized to obtain a feature code. Since the high-quality two-dimensional code image is obtained through image focusing, the recognition accuracy can be greatly improved. At the same time, the image is filtered in the above step S4, which reduces redundant data and further improves the recognition speed.

The two key algorithms of the two-dimensional code image processing method of the present application include an image focusing algorithm centered on the two-dimensional code area and an image filtering algorithm with blue light priority. Hereinafter, a specific description will be given.

FIG. 3 is a flowchart of an image focusing algorithm based on a two-dimensional code area priority in a two-dimensional code image processing method according to an embodiment of the present application. The image focusing algorithm centered on the two-dimensional code area includes steps S21 to S24.

In step S21, the two-dimensional code area is identified and marked. In this step, the two-dimensional code area is quickly identified and marked based on the primary features of the two-dimensional code and the intermediate features of the two-dimensional code. Among them, the primary features of the two-dimensional code include code eye features and code point features, the intermediate features of the two-dimensional code include code eye patterns and code point model features, the code eye patterns include right-angled triangle distribution, and the code point model features include code point consistency (same as type), etc. Furthermore, the QR code area can be identified through a deep learning model network. The network structure of the deep learning model can adopt, but is not limited to, the network structure of Mobilenet, Deep Residual Network (ResNet) or VGGnet (Visual Geometry Group Network).

In step S22, the parameters of the optical system are adjusted so as to focus on the two-dimensional code area. Preferably, adjusting the parameters of the optical system includes: adjusting the focus and viewing angle of imaging.

In step S23, light metering is performed centering on the two-dimensional code area.

In step S24, distance measurement is performed with the two-dimensional code area as the center, so as to perform the image focusing.

When the image is focused, fast light metering and distance measurement centered on the two-dimensional code area, and then adjust the optical system to automatically focus on the two-dimensional code area, so that the two-dimensional code area can obtain more effective pixels and improve the imaging quality.

FIG. 4 is a flow chart of an image filtering algorithm with blue light priority in the two-dimensional code image processing method according to an embodiment of the present application. The blue light priority image filtering algorithm includes steps S41 to S42.

In step S41, it is judged whether the second two-dimensional code digital image satisfies the Blu-ray priority condition. This step may specifically include the following steps S411 and S412.

In step S411, the RGB histogram of the second two-dimensional code digital image is acquired.

In step S412, it is judged based on the RGB histogram whether the blue light component is dominant, if so, the blue light priority condition is satisfied, otherwise, the blue light priority condition is not satisfied.

Among them, the method for judging whether the blue light component of the image is dominant is preferably the blue light component correlation method and the blue light component weighted average method, and these two methods are only used as typical embodiments, and are not limited to these two methods.

The specific execution method of the blue light component correlation method includes: first, calculate the histogram of the blue light component and the histogram of the gray image (Gray image) respectively, and then calculate the correlation coefficient of the two histograms, if the correlation coefficient > significant correlation threshold, then The two histograms are significantly correlated, and it is considered that the blue light component of the image is dominant.

The specific execution method of the blue light component weighted average method includes: first, calculate the histogram of the blue light component and the histogram of the grayscale image (Gray image) respectively, and then determine the histogram of the blue light component and the N histogram of the Gray image Significant feature color (when the number of colors is greater than the threshold when sampling at equal intervals, it is considered significant). If the weighted average of the N feature colors of the blue light component is greater than the weighted average of the N feature colors of the Gray image, the blue light component of the image is considered to be dominant. For the method of judging that the blue light component of the image is dominant, the grayscale image is preferably used as the reference image, and other forms of images can also be used as the reference image.

See Figure 5 for an example where the blue light component is dominant. FIG. 5 is a screen medium displaying a two-dimensional code and related histograms according to an embodiment of the present application. Screen media such as tablet screens, watch screens, mobile phone screens, cash register screens, TV screens, etc. A typical feature of the image of the two-dimensional code displayed on the screen medium is that the blue light component is more prominent than other components. The first column in Figure 5 is the original image; the second column is the histogram of the blue light component; the third column is the overlay of the histogram of the blue light component and the grayscale image; the fourth column is the overlay of the histogram of the RGB component.

In this application, it is considered that the existing two-dimensional code images generally use electronic equipment as the carrier, and the screen medium of the electronic equipment generally has the characteristics of strong blue light and weak other components. Therefore, counting the blue-light channel components in the RGB histogram to determine whether the blue-light priority condition is met, and performing image filtering when the blue-light priority condition is met, and retaining the blue-light channel data can indirectly reduce redundant data and reduce redundant calculations.

In step S42, if the blue light priority condition is met, the blue light priority mode is enabled to perform image filtering processing to extract the blue light channel. The image filtering in step S42 to extract the blue light channel may include the following steps S421 to S423.

In step S421, an effective part of the blue light spectrum is extracted from the second two-dimensional code digital image to separate blue light components to form a blue light image. Therefore, by filtering out redundant data in the second two-dimensional code digital image and only retaining the effective frequency spectrum specified by the configuration file, redundant data can be indirectly reduced, redundant calculations can be reduced, and computing costs can be reduced.

In step S422, an equalization process is performed on the blue light image. The equalization of the Blu-ray channel in this step can be understood as the process of value range compression and expansion. For example, equalize the value range of the current Blu-ray image from 50 to 100 to 0 to 255. This operation can improve the contrast of the image and facilitate the subsequent two. Recognition of QR code feature code.

In step S423, the equalized blue light image is output as the two-dimensional code imaging image. The two-dimensional code imaging image is used for feature code recognition of the two-dimensional code.

In a preferred implementation manner, the blue light priority image filtering algorithm further includes the following step S43.

In step S43, for the second two-dimensional code digital image that does not meet the blue-ray priority condition, it is transformed into a normal mode and directly outputs the second two-dimensional code digital image as a two-dimensional code imaging image, and the two-dimensional code imaging image is used for the two-dimensional code feature code identification.

As above, the two-dimensional code image processing method of the present application firstly executes the image focusing algorithm centered on the two-dimensional code area, and then executes the blue light priority image filtering algorithm. While obtaining high-quality QR code images, it reduces redundant data, saves algorithm complexity and redundant calculations, and achieves a balance between image effects and calculation costs. Compared with the full color gamut process, this solution saves algorithm complexity and computing resources, and can meet the low power consumption and high frame rate requirements of two-dimensional code devices while meeting the recognition rate.

The scope of protection of the two-dimensional code image processing method described in the embodiment of this application is not limited to the execution order of the steps listed in this embodiment, and any schemes realized by adding or subtracting steps and replacing steps in the prior art based on the principles of this application All are included in the scope of protection of this application.

The embodiment of the present application also provides a two-dimensional code image processing device. Fig. 6 is a structural block diagram of a two-dimensional code image processing device according to an embodiment of the present application. The two-dimensional code image processing device 6 is used for two-dimensional code image processing. The two-dimensional code image processing device 6 includes an image acquisition module 61 , an image focusing module 62 , a color balance processing module 63 and an image filtering module 64 .

The image acquisition module 61 is configured to acquire a two-dimensional code RAW image.

The image focusing module 62 is configured to perform image focusing on the two-dimensional code RAW image with the two-dimensional code area as the center, so as to acquire a first focused digital image of the two-dimensional code.

The color equalization processing module 63 is configured to perform color equalization processing on the first two-dimensional code digital image to obtain a second two-dimensional code digital image.

The image filtering module 64 is configured to perform image filtering on the second two-dimensional code digital image to extract a blue light channel, so as to generate a two-dimensional code imaging image with the blue light channel.

Wherein, the two-dimensional code image processing device 6 is coupled to the digital imaging sensor 0 . The image focus module 62 is used to realize image focus processing centered on the two-dimensional code area, and the image filter output module 64 is used to realize image filter processing with blue light priority, and the image focus centered on the two-dimensional code area and the image filter with blue light priority are above It has been described in detail in the text and will not be repeated here.

In another preferred embodiment, the two-dimensional code image processing device may also include a two-dimensional code The identification module 65, the two-dimensional code identification module 65 is used to identify the two-dimensional code imaging image output by the image filtering output module, and obtain the feature code.

The two-dimensional code image processing device can be integrated into an image signal processor, ie an ISP. At present, there are multiple algorithms in the existing ISP, and the algorithms are connected in series to form a pipeline. The configuration of the pipeline has some best practices. Generally, low-level information is processed first, including Bayer interpolation, image noise reduction, etc., and then high-level information is processed, including 3A series algorithms: AWB (automatic white balance), AE (automatic exposure), AF ( Autofocus) and image correction, etc., and finally process the transmission information, including format conversion, information compression, etc. The two-dimensional code image processing device of the present application follows the principle of first obtaining a normal image and then performing image processing. Therefore, the image focusing module is used to focus the image first, and then the color balance and image filtering are performed, which saves algorithm complexity and computing resources. When the recognition rate is met, it can meet the low power consumption and high frame rate requirements of the two-dimensional code device, and achieve a balance between image effects and computing costs.

The present application also provides an electronic device. FIG. 7 is a block diagram of an electronic device according to an embodiment of the present application. Referring to FIG. 7 , in an embodiment of the present application, the electronic device 7 includes a memory 71 and a processor 72 . The memory 71 is configured to store computer programs. The processor 72 is connected to the memory 71 in communication, and the processor 72 is configured to call the computer program to execute the two-dimensional code image processing method according to the present application.

Optionally, the electronic device 7 further includes a display 73 . The display 73 is communicatively connected with the memory 71 and the processor 72, and is used for a related GUI interactive interface during the process of the two-dimensional code image processing method and/or after the two-dimensional code image is processed.

The embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored, and the computer program is executed by a processor to implement the two-dimensional code image processing method according to the present application. Those of ordinary skill in the art can understand that all or part of the steps in the method for implementing the above embodiments can be completed by instructing the processor through a program, and the program can be stored in a computer-readable storage medium, and the storage medium is non-transitory (non-transitory) media such as random access memory, read-only memory, flash memory, hard disk, solid-state drive, magnetic tape, floppy disk, optical disc, and any combination thereof. The above-mentioned storage medium may be any available medium that can be accessed by a computer, or a data storage device such as a server or a data center integrated with one or more available media. The available medium may be a magnetic medium (such as a floppy disk, a hard disk, or a magnetic tape), an optical medium (such as a digital video disc (digital video disc, DVD)), or a semiconductor medium (such as a solid state disk (solid state disk, SSD)), etc.

The embodiment of the present application may also provide a computer program product, where the computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on the computing device, the processes or functions according to the embodiments of the present application will be generated in whole or in part. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, e.g. (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wirelessly (such as infrared, wireless, microwave, etc.) to another website site, computer or data center.

When the computer program product is executed by a computer, the computer executes the methods described in the foregoing method embodiments. The computer program product may be a software installation package, and the computer program product may be downloaded and executed on a computer if the foregoing method needs to be used.

The description of the process or structure corresponding to each of the above drawings has its own emphasis. For the part that is not described in detail in a certain process or structure, you can refer to the relevant description of other processes or structures.

The above-mentioned embodiments are only illustrative to illustrate the principles and effects of the present application, but are not intended to limit the present application. Any person familiar with the technology can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by those skilled in the art without departing from the spirit and technical ideas disclosed in the application shall still be covered by the claims of the application.

Claims (12)

1. A two-dimensional code image processing method is characterized by comprising the following steps:

acquiring a two-dimensional code RAW image;

focusing the two-dimensional code RAW image by taking a two-dimensional code area as a center to obtain a focused first two-dimensional code digital image;

carrying out color equalization processing on the first two-dimensional code digital image to obtain a second two-dimensional code digital image; and

and performing image filtering on the second two-dimensional code digital image to extract a blue light channel so as to generate a two-dimensional code imaging image with the blue light channel.

2. The two-dimensional code image processing method according to claim 1, wherein image filtering the second two-dimensional code digital image to extract a blue light channel comprises:

judging whether the second two-dimensional code digital image meets a blue light priority condition or not; and

and if the blue light priority condition is met, starting a blue light priority mode to perform image filtering processing so as to extract a blue light channel.

3. The two-dimensional code image processing method according to claim 2, characterized by further comprising:

and if the blue light priority condition is not met, directly outputting the second two-dimensional code digital image as the two-dimensional code imaging image.

4. The two-dimensional code image processing method according to claim 2, wherein judging whether the second two-dimensional code digital image satisfies a blue light priority condition comprises:

acquiring an RGB histogram of the second two-dimensional code digital image; and

and judging whether the blue light component is dominant or not based on the RGB histogram, if so, meeting the blue light priority condition, and otherwise, not meeting the blue light priority condition.

5. The two-dimensional code image processing method of claim 2, wherein enabling the blue light priority mode for image filtering processing to extract a blue light channel comprises:

extracting a blue light spectrum effective part from the second two-dimensional code digital image to separate blue light components to form a blue light image;

carrying out equalization processing on the blue light image; and

and outputting the equalized blue light image as the two-dimensional code imaging image.

6. The two-dimensional code image processing method according to claim 1, wherein focusing an image on the two-dimensional code RAW image with a two-dimensional code area as a center comprises:

identifying and marking a two-dimensional code area;

adjusting optical system parameters so as to focus on the two-dimensional code area;

performing photometry by taking the two-dimension code area as a center; and

and ranging by taking the two-dimensional code area as a center so as to focus the image.

7. The two-dimensional code image processing method according to claim 6, wherein adjusting the optical system parameter comprises: and adjusting the focus and the visual angle of the imaging.

8. The two-dimensional code image processing method according to claim 1, characterized by further comprising:

and identifying the two-dimensional code imaging image to obtain the feature code.

9. A two-dimensional code image processing apparatus characterized by comprising:

the image acquisition module is configured to acquire a RAW image of the two-dimensional code;

the image focusing module is configured to focus an image by taking a two-dimensional code area as a center aiming at the two-dimensional code RAW image so as to obtain a focused first two-dimensional code digital image;

the color equalization processing module is configured to perform color equalization processing on the first two-dimensional code digital image to acquire a second two-dimensional code digital image; and

an image filtering module configured to perform image filtering on the second two-dimensional code digital image to extract a blue light channel to generate a two-dimensional code imaging image with the blue light channel.

10. The two-dimensional code image processing apparatus according to claim 9, characterized by further comprising:

and the two-dimensional code identification module is configured to identify the two-dimensional code imaging image so as to obtain the feature code.

11. An electronic device, comprising:

a memory configured to store a computer program; and

a processor configured to call the computer program to execute the two-dimensional code image processing method according to any one of claims 1 to 8.

12. A computer-readable storage medium on which a computer program is stored, characterized in that the computer program is executed to implement the two-dimensional code image processing method according to any one of claims 1 to 8.

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