CN107133006A - A kind of big data image gray processing processing system - Google Patents

Abstract

The invention discloses a kind of big data image gray processing processing system, including database, modular converter one, processing module, modular converter two, display module and storage module, the output end of the database electrically connects the input of modular converter one, the output end of modular converter one electrically connects the input of processing module, the output end of processing module electrically connects the input of modular converter two, the output end of modular converter two electrically connects the input of display module, this big data image gray processing processing system, digital information can be converted image information into by analog-digital converter, user can be as needed so as to the R values to image, G values and B values are adjusted, then digital information is converted to by digital analog converter by image information again, so as to complete the gray processing processing to image, secondary regulation can also be carried out to the image after Primary regulation, consequently facilitating user is handled the gray processing of image, it is easy to the use of user.

Description

A Big Data Image Grayscale Processing System

technical field

The invention relates to the technical field of image processing, in particular to a large data image grayscale processing system.

Background technique

In the computer world, a grayscale digital image is an image in which each pixel has only one sampled color. Such images are usually displayed as a gray scale from the darkest black to the brightest white, although in theory this sample can be any shade of color. , and can even be different colors at different brightnesses. Grayscale images are different from black and white images. In the field of computer graphics, black and white images only have two colors, black and white. Grayscale images have many levels of color depth between black and white. , however, the grayscale processing of images is relatively cumbersome at present, which is not convenient for users to use.

Contents of the invention

The technical problem to be solved by the present invention is to overcome the existing defects and provide a large data image grayscale processing system, which can convert image information into digital information through an analog-to-digital converter, and users can adjust the R of the image according to their needs. Value, G value and B value are adjusted, and then the digital information is converted into image information through a digital-to-analog converter, thereby completing the grayscale processing of the image, and the image after the first adjustment can also be adjusted twice, so that It is convenient for the user to process the gray scale of the image, is convenient for the user to use, and can effectively solve the problems in the background technology.

In order to achieve the above object, the present invention provides the following technical solutions: a large data image grayscale processing system, including a database, a conversion module 1, a processing module, a conversion module 2, a display module and a storage module, the output terminal of the database is electrically connected to the input end of conversion module one, the output end of the conversion module one is electrically connected to the input end of the processing module, the output end of the processing module is electrically connected to the input end of the conversion module two, and the output end of the conversion module two is electrically connected The input end of the display module, and the output end of the display module are respectively electrically connected to the conversion module one and the input end of the storage module.

As a preferred technical solution of the present invention, the conversion module 1 includes an analog-to-digital converter, and the output terminals of the database and the display module are both electrically connected to the input terminals of the analog-to-digital converter.

As a preferred technical solution of the present invention, the processing module includes an R value adjustment module, a G value adjustment module, and a B value adjustment module, and the output terminals of the analog-to-digital converter are electrically connected to the R value adjustment module, the G value adjustment module, and the G value adjustment module. The input terminal of the adjustment module and the B value adjustment module.

As a preferred technical solution of the present invention, the conversion module 2 includes a digital-to-analog converter, and the output terminals of the R value adjustment module, the G value adjustment module, and the B value adjustment module are all electrically connected to the input of the digital-to-analog converter end.

As a preferred technical solution of the present invention, the output end of the digital-to-analog converter is electrically connected to the input end of the display module.

As a preferred technical solution of the present invention, the storage module includes a buffer and a storage, and the output terminals of the display module are electrically connected to the input terminals of the buffer and the storage, respectively.

Compared with the prior art, the beneficial effect of the present invention is that the big data image grayscale processing system can convert the image information into digital information through an analog-to-digital converter, and the user can adjust the R value of the image, The G value and B value are adjusted, and then the digital information is converted into image information through the digital-to-analog converter, thereby completing the grayscale processing of the image, and the image after the first adjustment can also be adjusted twice, so that it is easy to use The grayscale processing of the image by the operator is convenient for the user to use.

Description of drawings

Fig. 1 is a structural representation of the present invention;

Fig. 2 is a schematic diagram of the internal structure of the present invention.

detailed description

The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on The embodiments in the present invention, and all other embodiments obtained by persons of ordinary skill in the art without creative work, all belong to the protection scope of the present invention.

Please refer to Fig. 1-2, the present invention provides a kind of technical solution: a kind of big data image grayscale processing system, comprises database, conversion module 1, processing module, conversion module 2, display module and storage module, the output terminal of database Electrically connected to the input of the conversion module one, the conversion module one includes an analog-to-digital converter, and the output terminals of the database and the display module are all electrically connected to the input of the analog-to-digital converter, so as to facilitate the conversion of the extracted image information, the conversion module one The output end is electrically connected to the input end of the processing module. The processing module includes an R value adjustment module, a G value adjustment module and a B value adjustment module. The output ends of the analog-to-digital converter are respectively electrically connected to the R value adjustment module, the G value adjustment module and the B value adjustment module The input end of the value adjustment module is convenient for processing and adjusting different digital information. The output end of the processing module is electrically connected to the input end of the conversion module 2. The conversion module 2 includes a digital-to-analog converter, an R value adjustment module, and a G value adjustment module. The output ends of the module and the B value adjustment module are electrically connected to the input end of the digital-to-analog converter, which facilitates imaging processing of the processed digital information. The output end of the conversion module 2 is electrically connected to the input end of the display module, and the digital-to-analog converter The output terminal is electrically connected to the input terminal of the display module, and the output terminal of the display module is electrically connected to the input terminal of the conversion module 1 and the storage module respectively. The input terminal of the device is convenient for storing the processed information.

When in use: first extract the image information from the database, then convert it through the analog-to-digital converter in conversion module 1, and then send it to the R value adjustment module, G value adjustment module and B value adjustment module in the processing module respectively After being processed by the R value adjustment module, G value adjustment module and B value adjustment module, it is processed by the digital-to-analog converter in the conversion module two and then displayed in the display module. When the processing result cannot reach the use When the user needs it, the cache processing is first performed through the buffer, and then the secondary processing is carried out through the above steps. When the processing result meets the user's needs, it is stored through the memory, thereby completing the grayscale processing of the image.

The present invention can convert image information into digital information through an analog-to-digital converter, and users can adjust the R value, G value, and B value of the image according to needs, and then convert the digital information into image information through a digital-to-analog converter , so as to complete the grayscale processing of the image, and can also perform secondary adjustment on the image after the primary adjustment, thereby facilitating the grayscale processing of the image by the user and facilitating the use of the user.

Although the embodiments of the present invention have been shown and described, those skilled in the art can understand that various changes, modifications and substitutions can be made to these embodiments without departing from the principle and spirit of the present invention. and modifications, the scope of the invention is defined by the appended claims and their equivalents.

Claims (6)

1. A large data image grayscale processing system, comprising database, conversion module one, processing module, conversion module two, display module and storage module, is characterized in that: the output terminal of described database is electrically connected to the input of conversion module one terminal, the output terminal of the conversion module one is electrically connected to the input terminal of the processing module, the output terminal of the processing module is electrically connected to the input terminal of the conversion module two, and the output terminal of the conversion module two is electrically connected to the input terminal of the display module, The output terminals of the display module are electrically connected to the conversion module one and the input terminals of the storage module respectively. 2. A kind of big data image gray-scale processing system according to claim 1, is characterized in that: described conversion module one comprises analog-to-digital converter, and the output end of described database and display module is all electrically connected modulus input of the converter. 3. A kind of big data image grayscale processing system according to claim 1 or 2, is characterized in that: described processing module comprises R value adjustment module, G value adjustment module and B value adjustment module, and described module The output terminals of the digital converter are respectively electrically connected to the input terminals of the R value adjustment module, the G value adjustment module and the B value adjustment module. 4. A kind of big data image gray scale processing system according to claim 1 or 3, it is characterized in that: said converting module 2 includes a digital-to-analog converter, said R value adjustment module, G value adjustment module and The output ends of the B value adjustment module are all electrically connected to the input ends of the digital-to-analog converter. 5. A big data image grayscale processing system according to claim 1 or 4, characterized in that: the output end of the digital-to-analog converter is electrically connected to the input end of the display module. 6. A big data image grayscale processing system according to claim 1, characterized in that: the storage module includes a buffer and a storage, and the output terminals of the display module are electrically connected to the buffer and the storage respectively input terminal of the device.