Image data processing method and system

Abstract

The invention discloses an image data processing method and system, and the system comprises an image data processing system which is internally composed of an image preprocessing system, an image storage and management system, a video monitoring system, an emergency management system, a safety examination system, and an analysis early warning system. The emergency management system is composed of an image transmission and communication system and an image processing algorithm optimization system, the safety examination system is composed of a comprehensive examination system and a data analysis system, and the analysis early warning system is composed of a big data analysis library and an image recognition system. According to the image data processing system, tasks such as image acquisition, preprocessing, analysis and storage can be automatically completed, manual intervention is reduced, the working efficiency is remarkably improved, a large amount of image data can be processed in real time through an efficient algorithm and hardware acceleration, and the requirement for quick response is met.

Description

Technical Field

[0001] The present invention relates to the technical field of image data processing, and specifically provides an image data processing method and system. Background Art

[0002] Image data processing is a technology that uses means such as image data denoising, graphic segmentation, and image data enhancement to process image data according to requirements. Image data processing technology can basically be divided into two categories: analog image processing and digital image processing. In recent years, image processing technology has become increasingly mature and is widely used in aerospace, military, biomedicine, and artificial intelligence.

[0003] The Chinese patent document with the authorization announcement number CN117994427B discloses an image data processing method and system, which relates to the field of image processing technology. It collects scene image data of a certain data volume, identifies problem data and compliant data, and then generates a problem data set and a compliant data set, and sets screening rules for scene data division; obtains the scene data set generated by the scene data division, and selects to perform scene library matching and scene parameter calculation, and then generates a preliminary scene; establishes a scene model corresponding to the scene, and performs model training, obtains the real-time scene completion degree corresponding to the model training. If the real-time scene completion degree exceeds the preset completion degree threshold, the training is stopped. Otherwise, the training duration is recorded. When the preset duration threshold is reached, scene collaborative processing is performed, and then the final scene is generated.

[0004] When the above-mentioned prior art processes image data, there are problems such as low processing efficiency, slow speed, and inability to give timely warnings about abnormal data in the image. Therefore, it is necessary to develop a new type of image data processing method and system. Summary of the Invention

[0005] The purpose of the present invention is to provide an image data processing method and system to solve the problems in the above-mentioned background art that when the prior art processes image data, there are problems such as low processing efficiency, slow speed, and inability to give timely warnings about abnormal data in the image.

[0006] To achieve the above purpose, the present invention provides the following technical solutions: An image data processing method and system, including an image data processing system. The interior of the image data processing system is jointly composed of an image preprocessing system, an image storage and management system, a video monitoring system, an emergency management system, a security review system, and an analysis and warning system. The emergency management system is jointly composed of an image transmission and communication system and an image processing algorithm optimization system. The security review system is jointly composed of a comprehensive assessment system and a data analysis system. The analysis and warning system is jointly composed of a big data analysis library and an image recognition system.

[0007] Preferably, the image preprocessing system is jointly composed of a geometric correction module and a color correction module. The geometric correction module is used to correct image distortion, rotation, and scaling problems, and the color correction module is used to adjust image color balance and saturation.

[0008] Preferably, the image storage and management system is jointly composed of a database, a file system, and a compression control system. The database is used to store images and their metadata, including shooting time, resolution, and tags. The file system is used to manage the storage and retrieval of image files. The compression control system includes PEG and PNG and is used to reduce image storage space.

[0009] Preferably, the video surveillance system is jointly composed of a panoramic camera and a night vision surveillance probe. The panoramic camera and the night vision surveillance probe are fixed-point distributed in various corners of indoor and outdoor places, and both the panoramic camera and the night vision surveillance probe are electrically connected to a closed-circuit television surveillance platform.

[0010] Preferably, the image transmission and communication system is jointly composed of a security encryption module and a parallel computing module. The security encryption module is used to protect the privacy and security of image data, and the parallel computing module uses GPU and TPU hardware to accelerate image processing.

[0011] Preferably, both the comprehensive assessment system and the data analysis system analyze and process image data through computer background software. The big data analysis library and the image recognition system are both electrically connected to the data image comprehensive processing module, and the data image comprehensive processing module is electrically connected to an alarm.

[0012] Preferably, the image processing algorithm optimization system is jointly composed of an algorithm optimization module and a hardware acceleration module. The algorithm optimization module is used to improve the time complexity and space complexity of the algorithm, and the hardware acceleration module includes FPGA and ASIC dedicated hardware and is used to accelerate the comprehensive processing speed of images.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) In the image data processing system of the present invention, tasks such as image acquisition, preprocessing, analysis, and storage can be automatically completed, reducing manual intervention and significantly improving work efficiency. Through efficient algorithms and hardware acceleration, the system can process a large amount of image data in real time to meet the requirements of rapid response; (2) By using advanced image processing algorithms, the system can accurately detect, identify, and segment targets in images, reducing human errors. The automated system can ensure the consistency of the processing process and avoid deviations caused by manual operations; (3) In the present invention, through efficient image compression and storage technologies, the requirements for storage space and transmission bandwidth are reduced, resource consumption is lowered, and the processed image data is presented in an intuitive manner to help decision-makers better understand the data. The system can be integrated into different hardware and software platforms to adapt to diverse application scenarios; (4) The image processing system in the present invention can monitor the video stream in real time, promptly detect abnormal situations, and protect the privacy and security of image data through image encryption and watermarking technologies, and issue an alarm for abnormal data in the image in a timely manner. Description of the Drawings

[0014] Figure 1 It is a block diagram of the image data processing system of the present invention; Figure 2 It is a block diagram of the image preprocessing system of the present invention; Figure 3 It is a block diagram of the image storage and management system of the present invention; Figure 4 It is a block diagram of the video monitoring system of the present invention; Figure 5 It is a block diagram of the emergency management system of the present invention; Figure 6 It is a block diagram of the analysis and early warning system of the present invention; Figure 7 It is a block diagram of the local part of the fixed station of the present invention.

[0015] In the figure: 1. Image data processing system; 2. Image preprocessing system; 3. Image storage and management system; 4. Video monitoring system; 5. Emergency management system; 6. Security review system; 7. Analysis and early warning system; 8. Geometric correction module; 9. Color correction module; 10. Database; 11. File system; 12. Compression control system; 13. Panoramic camera; 14. Night vision monitoring probe; 15. Closed-circuit television monitoring platform; 16. Image transmission and communication system; 17. Image processing algorithm optimization system; 18. Security encryption module; 19. Parallel computing module; 20. Algorithm optimization module; 21. Hardware acceleration module; 22. Comprehensive assessment system; 23. Data analysis system; 24. Big data analysis library; 25. Image recognition system; 26. Data and image comprehensive processing module; 27. Alarm. Detailed Embodiments

[0016] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments.

[0017] Please refer to Figure 1-7, an embodiment provided by the present invention: An image data processing method and system, including an image data processing system 1, which is internally composed of an image preprocessing system 2, an image storage and management system 3, a video monitoring system 4, an emergency management system 5, a security review system 6, and an analysis and early warning system 7. The emergency management system 5 is jointly composed of an image transmission and communication system 16 and an image processing algorithm optimization system 17. The security review system 6 is jointly composed of a comprehensive assessment system 22 and a data analysis system 23. The analysis and early warning system 7 is jointly composed of a big data analysis library 24 and an image recognition system 25.

[0018] Furthermore, the image preprocessing system 2 is jointly composed of a geometric correction module 8 and a color correction module 9. The geometric correction module 8 is used to correct image distortion, rotation, and scaling problems. The color correction module 9 is used to adjust image color balance and saturation. The image storage and management system 3 is jointly composed of a database 10, a file system 11, and a compression control system 12. The database 10 is used to store images and their metadata, including shooting time, resolution, and tags. The file system 11 is used to manage the storage and retrieval of image files. The compression control system 12 includes PEG and PNG, which are used to reduce image storage space. The video monitoring system 4 is jointly composed of a panoramic camera 13 and a night vision monitoring probe 14. The panoramic camera 13 and the night vision monitoring probe 14 are fixedly distributed in various corners of indoor and outdoor places. Both the panoramic camera 13 and the night vision monitoring probe 14 are electrically connected to a closed-circuit television monitoring platform 15.

[0019] Furthermore, the image transmission and communication system 16 is jointly composed of a security encryption module 18 and a parallel computing module 19. The security encryption module 18 is used to protect the privacy and security of image data. The parallel computing module 19 uses GPU and TPU hardware to accelerate image processing. The image processing algorithm optimization system 17 is jointly composed of an algorithm optimization module 20 and a hardware acceleration module 21. The algorithm optimization module 20 is used to improve the time complexity and space complexity of the algorithm. The hardware acceleration module 21 includes FPGA and ASIC dedicated hardware, which are used to accelerate the comprehensive processing speed of images. Both the comprehensive assessment system 22 and the data analysis system 23 analyze and process image data through computer background software. Both the big data analysis library 24 and the image recognition system 25 are electrically connected to a data image comprehensive processing module 26. The data image comprehensive processing module 26 is electrically connected to an alarm 27.

[0020] By collecting images, using a high-definition camera device to capture images, ensuring that the resolution, lighting conditions, and clarity of the images meet the requirements, preprocessing the images, using filtering algorithms to remove noise from the images, and adjusting the brightness, contrast, and sharpness of the images, extracting useful feature information from the images, extracting edge and corner information from the images, extracting texture information of the images, and extracting shape information of the objects, automatically extracting high-level features using a convolutional neural network, analyzing and identifying the content of the images, identifying specific targets in the images, classifying the images into predefined categories, post-processing the images, storing and transmitting the processed image data, and presenting the processing results to the user in a visual manner. In the image data processing system of the present invention, tasks such as image collection, preprocessing, analysis, and storage can be automatically completed, reducing manual intervention and significantly improving work efficiency. Through efficient algorithms and hardware acceleration, the system can process a large amount of image data in real time to meet the requirements of rapid response.

[0021] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0022] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An image data processing method and system, characterized in that: The invention comprises an image data processing system (1), wherein the image data processing system (1) is composed of an image preprocessing system (2), an image storage and management system (3), a video monitoring system (4), an emergency management system (5), a security review system (6) and an analysis and early warning system (7); the emergency management system (5) is composed of an image transmission and communication system (16) and an image processing algorithm optimization system (17); the security review system (6) is composed of a comprehensive assessment system (22) and a data analysis system (23); and the analysis and early warning system (7) is composed of a big data analysis library (24) and an image recognition system (25).

2. The image data processing method and system according to claim 1, characterized in that: The image preprocessing system (2) is composed of a geometric correction module (8) and a color correction module (9), wherein the geometric correction module (8) is used to correct image distortion, rotation, and scaling problems, and the color correction module (9) is used to adjust the color balance and saturation of the image.

3. The image data processing method and system according to claim 1, characterized in that: The image storage and management system (3) is composed of a database (10), a file system (11) and a compression control system (12). The database (10) is used to store images and their metadata, including shooting time, resolution and tags. The file system (11) is used to manage the storage and retrieval of image files. The compression control system (12) includes PEG and PNG, and is used to reduce image storage space.

4. The image data processing method and system according to claim 1, characterized in that: The video monitoring system (4) is composed of a panoramic camera (13) and a night vision monitoring probe (14). The panoramic camera (13) and the night vision monitoring probe (14) are fixedly distributed in various corners of indoor and outdoor places. The panoramic camera (13) and the night vision monitoring probe (14) are electrically connected to a closed-circuit television monitoring platform (15).

5. The image data processing method and system according to claim 1, characterized in that: The image transmission and communication system (16) is composed of a security encryption module (18) and a parallel computing module (19), wherein the security encryption module (18) is used to protect the privacy and security of image data, and the parallel computing module (19) utilizes GPU and TPU hardware to accelerate image processing.

6. The image data processing method and system according to claim 1, characterized in that: The comprehensive assessment system (22) and the data analysis system (23) both analyze and process the image data through computer background software, the big data analysis library (24) and the image recognition system (25) are both electrically connected to the data image comprehensive processing module (26), and the data image comprehensive processing module (26) is electrically connected to the alarm (27).

7. The image data processing method and system according to claim 1, characterized in that: The image processing algorithm optimization system (17) is composed of an algorithm optimization module (20) and a hardware acceleration module (21). The algorithm optimization module (20) is used to improve the time complexity and space complexity of the algorithm. The hardware acceleration module (21) includes FPGA and ASIC dedicated hardware, which is used to speed up the comprehensive processing speed of the image.

8. The processing method of the image data processing system according to any one of claims 1 to 7, characterized in that: The method comprises the following steps: S1. Collect images and use high-definition camera equipment to capture images, ensuring that the resolution, lighting conditions and clarity of the images meet the requirements; S2, preprocess the image, use filtering algorithm to remove noise in the image, and adjust the brightness, contrast and sharpness of the image; S3, extract useful feature information from the image, extract edge and corner information in the image, extract texture information of the image and extract shape information of the object, and use convolutional neural network to automatically extract high-level features; S4, analyze and identify the image content, identify specific targets in the image, and classify the image into predefined categories; S5. Post-process the image, store and transmit the processed image data, and present the processing result to the user in a visual manner.

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