scholarly journals Application of Machine Vision Recognition System in Mobile Robot

2021 ◽  
Vol 2083 (4) ◽  
pp. 042036
Author(s):  
Yan Fu

Abstract In order to solve the problem of autonomous recognition of hexapod robot and realize the intelligent and humanized development of robot, OpenMV is taken as the main platform, hexapod robot is taken as the main machine carrier, Python is taken as the main development language, C language is taken as the auxiliary development language, and the reasonable application of image processing technology is added. A simple visual recognition system based on OpenMV is designed to realize the application of visual recognition.

2011 ◽  
Vol 267 ◽  
pp. 56-59
Author(s):  
Li Juan Ma ◽  
Yun Juan Liang ◽  
Shi Yong Li ◽  
Yong Huang

Chest Card recognition system is to use computer image analysis, extract effective chest card information, used to judge the chest card information, it has wide application: the chest card recognition in and out management system, the chest card recognition disucssed system, employee management, etc. This paper mainly based on image processing technology, introduces the design of the chest card recognition system, focusing on the introduction of the two key steps: the realization of chest card positioning and chest card recognition.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xiaochen Tang ◽  
Yunbo An ◽  
Congshan Li

With the development of digital image technology, judging diseases by medical image plays an important role in medical diagnosis. Mammography is the most effective imaging examination method for breast cancer at present. Intelligent segmentation and identification of breast cancer images and judging their size and classification by digital image processing technology can promote the development of clinical medicine. This paper introduces the preprocessing technology of breast cancer pathological image and medical image recognition technology of breast cancer. In order to improve the segmentation accuracy of image processing and optimize, the segmentation recognition ability in digital mammography was improved. Based on the technical basis of pathological image analysis of breast cancer, the architecture of intelligent segmentation and recognition system for breast cancer was constructed, and each functional module of intelligent system was introduced in detail. Based on digital image processing technology, filtering technology is used to reduce dryness and improve the clarity of the image. Public datasets INBreast and DDSM-BCRP were used to verify system’s performance, and it was tested on the breast cancer image test set. The experiment shows that the comprehensive performance of the intelligent segmentation and recognition system can realize the segmentation and recognition of breast cancer and has higher accuracy and interpretability, which is helpful to improve the diagnosis of doctors.


An automatic license number plate recognition system that uses image processing technology for identifying the written characters and numbers on the vehicle’ license plate. The system can be used in highly secured areas to provide more safety, and can be used in parking, traffic, and other places to monitor all vehicle’s number plate in a predefined area. The character is recognized by the OCR technology that is optical character recognition system. It generates the vehicle’s license plate number in a text format. The recognized number from the license plate then can be used to retrieve more information about the vehicle and the owner.


2011 ◽  
Vol 63-64 ◽  
pp. 134-137
Author(s):  
Lin Xu ◽  
Qin Zhang ◽  
Yi Fan Yu

Vehicle License plate recognition system includes license plate location, character segmentation, character recognition three important aspects. Image Processing is the VLPRS is one of the three key technologies, this gray-scale transformation of the image, contrast enhancement, image smoothing, edge detection, binarization and other methods were discussed and studied through the Image Processing technology to improve image Quality, strengthen the image area. Experimental results show that this treatment method is simple, real time, dealing with the right rate to achieve a practical standard.


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