CN113178164A

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Info

Publication number: CN113178164A
Application number: CN202011083233.4A
Authority: CN
Inventors: 章柳佳
Original assignee: Zhejiang Shanhong Technology Co ltd
Current assignee: Zhejiang Shanhong Technology Co ltd
Priority date: 2020-10-12
Filing date: 2020-10-12
Publication date: 2021-07-27
Anticipated expiration: 2040-10-12
Also published as: CN113178164B

Abstract

Description

Intelligent image processing device for LED display screen

Technical Field

The invention belongs to the technical field of LED display screens, and particularly relates to an intelligent image processing device for an LED display screen.

Background

With the development and progress of science and technology, the requirements of people for things are changed from old thinking that people can use things as things to be quite fine and smooth, and only with the continuous progress or innovation conception, a new form is generated to improve the added value of the product, so that people can live under the test of intense market competition.

In some display devices, the image processing device is particularly important for processing images, especially for monitoring a background display screen and a medical display, the definition degree of the images directly influences the final result, the higher the definition degree of the images is in some operation processes, the higher the success degree of the operation is, and in all monitored places, the clearer the pictures displayed in the display screen can be used for watching the external conditions. However, the conventional image processing apparatus has a single structure and function, the efficiency and quality of image processing are not very high, and the conventional image processing apparatus does not have feature contrast, i.e., a more intuitive feedback cannot be provided to a user.

Disclosure of Invention

In view of the problems raised by the above background art, the present invention is directed to: the intelligent image processing device for the LED display screen is provided.

In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:

Further limiting, the image comparison module carries out distribution difference comparison and conversion according to a source image obtained by the source image output module and an image output by the image output module, and converts the source image into a target sample image which accords with the image distribution rule of the image.

Further limiting, the source image output module is connected with a scaling module, and the design can automatically scale to a proper proportion for comparison, so that the application range is expanded.

Further, the image comparison module is connected with an alarm module, and the design can remind a user of adding or special operation by warning that the memory does not have a corresponding comparison image.

Further, the power supply is a 220V power supply, and the design is strong in universality.

Further, the image acquisition module comprises an image processing module, and by adopting the design, better images can be acquired more quickly.

Further limiting, the definition regulation module comprises an image enhancement module, an image sharpening module, an image smoothing module, an image denoising module, an image deblurring module, an image defogging module, an image repairing module, an image cutting module, an image splicing module, an image synthesizing module and an image rotating module, and the quality of an output image is ensured by the aid of the design.

Further, the camera shooting and scanning assembly shoots or scans at least twice, and the design prevents image acquisition from being wrong or inaccurate.

Further, the memory can be connected in parallel, and the design ensures the capacity of the database.

Further, the source feature extraction module comprises an image analysis module and a deep neural network, and by adopting the design, intelligent feature extraction is realized, and the accuracy is improved.

The invention has the following beneficial effects:

by adopting the design of the invention, the images to be extracted can be classified in large batch by intelligently and perfectly advancing the image classification, the image information is digitalized, the positioning precision of the images is improved, the data volume in the subsequent processing of the images is reduced, the effective and rapid operation accuracy of the image extraction is convenient, and the database can be continuously expanded and optimized along with the increase of the use duration of the image processing device, so that the image optimization and classification intelligent accuracy are gradually improved, and the difference can be more visually displayed on the display screen by the arrangement of the characteristic comparison module, so that the user can conveniently and accurately judge, and the working efficiency is improved.

Drawings

The invention is further illustrated by the non-limiting examples given in the accompanying drawings;

FIG. 1 is a circuit diagram of an embodiment of an intelligent image processing apparatus for an LED display screen according to the present invention;

FIG. 2 is a circuit diagram of a memory of an embodiment of an intelligent image processing device for an LED display screen according to the present invention;

the main element symbols are as follows:

the system comprises a display screen 1, a power management module 2, apower supply 21, animage acquisition module 3, animage processing module 32, acamera scanning assembly 31, a matrixinformation extraction module 4, a sourcefeature extraction module 5, animage analysis module 51, a deepneural network 52, a source image output module 6, a scaling module 61, an image comparison module 7, analarm module 71, amemory 8, adatabase 81, a sourceimage identification module 82, animage output module 83, a definition regulation and control module 9 and aclassification output module 10.

Detailed Description

In order that those skilled in the art can better understand the present invention, the following technical solutions are further described with reference to the accompanying drawings and examples.

As shown in fig. 1 and fig. 2, the intelligent image processing device for an LED display screen of the present invention comprises a display screen 1, the display screen 1 is connected to a power management module 2, the input end of the power management module 2 is connected to apower supply 21, the display screen 1 is internally provided with animage acquisition module 3, the input end of theimage acquisition module 3 is connected to acamera scanning assembly 31, the output end of theimage acquisition module 3 is connected to a matrixinformation extraction module 4, the output end of the matrixinformation extraction module 4 is connected to an activefeature extraction module 5, the output end of the sourcefeature extraction module 5 is connected to a source image output module 6, the output end of the source image output module 6 is connected to an image comparison module 7, the input end of the image comparison module 7 is connected to amemory 8, the input end of thememory 8 is connected to the sourcefeature extraction module 5, thememory 8 comprises adatabase 81, a sourceimage recognition module 82 and animage output module 83, the output end of the image contrast module 7 is connected with a definition regulation and control module 9, the output end of the definition regulation and control module 9 is connected with aclassification output module 10, and the output end of theclassification output module 10 is connected with the display screen 1.

In this embodiment, when an intelligent image processing device for an LED display screen is used, apower supply 21 is used to cooperate with a power management module 2 to supply power to the device for operation, an imagepickup scanning assembly 31 sends an obtained image to animage acquisition module 3, theimage acquisition module 3 sends the obtained image to a matrixinformation extraction module 4, the matrixinformation extraction module 4 performs matrix data processing on the image, a sourcefeature extraction module 5 performs data extraction, a source image output module 6 inputs data to an image comparison module 7, during which, the image comparison module 7 sends an instruction to amemory 8, thememory 8 identifies the image obtained by the sourcefeature extraction module 5 by a sourceimage identification module 82, calls a corresponding image from adatabase 81, and sends the image to the image comparison module 7 by animage output module 83, and the image comparison module 7 performs image processing according to the source image obtained by the sourcefeature extraction module 5 and the image sent by thememory 8 And comparing, and respectively transmitting the source image and the image to the display screen 1 through theclassification output module 10 after the definition of the source image and the image is adjusted through the definition adjusting module 9, so that a user can visually judge the difference between the source image and the image from the display screen 1 to process the difference, and the method is convenient and fast.

The image comparison module 7 preferably performs distribution difference comparison and conversion on the source image obtained by the source image output module 6 and the image output by theimage output module 83, and converts the source image into a target sample image conforming to the image distribution rule of the image.

Preferably, the source image output module 6 is connected to the scaling module 61, and such a design can automatically scale to a suitable scale for comparison, so as to enlarge the application range, and actually, the scaling range of the scaling module 61 can be selected according to specific situations.

Preferably, the image comparison module 7 is connected to thealarm module 71, and such a design can remind the user to perform addition or special operation by warning that thememory 8 does not have a corresponding comparison image, and actually, the alarm method of thealarm module 71 can be considered according to specific situations.

Thepower supply 21 is preferably a 220V power supply, which is designed to have strong versatility, and actually, the voltage of thepower supply 21 can be considered according to specific situations.

Preferably, theimage capturing module 3 includes animage processing module 32, so as to obtain better images more quickly, and in fact, the selection of theimage processing module 32 may be considered according to specific situations.

The optimal definition control module 9 comprises an image enhancement module, an image sharpening module, an image smoothing module, an image denoising module, an image deblurring module, an image defogging module, an image repairing module, an image cutting module, an image splicing module, an image synthesizing module and an image rotating module, and by adopting the design, the quality of an output image is ensured, and actually, the functions contained in the definition control module 9 can be considered according to specific conditions.

Preferably, thecamera scanning assembly 31 takes or scans at least twice, which prevents image acquisition errors or inaccuracies, and in fact, the number of scans by thecamera scanning assembly 31 can be taken into account as the case may be.

Preferably, thememory 8 can be connected in parallel, so as to ensure the capacity of thedatabase 81, and actually, the parallel connection mode of thememory 8 can be considered according to specific situations.

Preferably, the sourcefeature extraction module 5 includes animage analysis module 51 and a deepneural network 52, and this design, intelligent feature extraction, and accuracy improvement, in fact, the selection of the sourcefeature extraction module 5 may also be considered according to specific situations.

The foregoing embodiments are merely illustrative of the principles of the present invention and its efficacy, and are not to be construed as limiting the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.

Claims

1. An intelligent image processing device for an LED display screen, comprising a display screen (1), characterized in that: the display screen (1) is connected with a power supply management module (2), the input end of the power supply management module (2) is connected with a power supply (21), an image acquisition module (3) is arranged in the display screen (1), the input end of the image acquisition module (3) is connected with a camera scanning assembly (31), the output end of the image acquisition module (3) is connected with a matrix information extraction module (4), the output end of the matrix information extraction module (4) is connected with an active characteristic extraction module (5), the output end of the source characteristic extraction module (5) is connected with a source image output module (6), the output end of the source image output module (6) is connected with an image comparison module (7), the input end of the image comparison module (7) is connected with a storage device (8), the input end of the storage device (8) is connected with the source characteristic extraction module (5), memory (8) include database (81), source image recognition module (82) and image output module (83), image contrast module (7) output is connected with definition regulation and control module (9), definition regulation and control module (9) output is connected with categorised output module (10), categorised output module (10) output is connected with display screen (1).

2. The intelligent image processing device for the LED display screen according to claim 1, wherein: the image comparison module (7) performs distribution difference comparison and conversion according to the source image obtained by the source image output module (6) and the image output by the image output module (83), and converts the source image into a target sample image which accords with the image distribution rule of the image.

3. The intelligent image processing device for the LED display screen according to claim 2, wherein: the source image output module (6) is connected with a scaling module (61).

4. The intelligent image processing device for the LED display screen according to claim 3, wherein: the image comparison module (7) is connected with an alarm module (71).

5. The intelligent image processing device for the LED display screen according to claim 4, wherein: the power supply (21) is a 220V power supply.

6. The intelligent image processing device for the LED display screen according to claim 5, wherein: the image acquisition module (3) comprises an image processing module (32).

7. The intelligent image processing device for the LED display screen according to claim 6, wherein: the definition regulation and control module (9) comprises an image enhancement module, an image sharpening module, an image smoothing module, an image denoising module, an image deblurring module, an image defogging module, an image repairing module, an image cutting module, an image splicing module, an image synthesizing module and an image rotating module.

8. The intelligent image processing device for the LED display screen according to claim 7, wherein: the camera scanning component (31) at least takes a picture or scans twice.

9. The intelligent image processing device for the LED display screen according to claim 8, wherein: the memory (8) can be connected in parallel.

10. The intelligent image processing device for the LED display screen according to claim 9, wherein: the source feature extraction module (5) comprises an image analysis module (51) and a deep neural network (52).