Open AccessResearch on Product Appearance Detection System Based on Image Sparse Representation
Author(s) -
Xiaoning Chen,
Zhao Jian
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/790/1/012139
Subject(s) - computer vision , usb , computer science , artificial intelligence , robustness (evolution) , sparse approximation , superresolution , image sensor , image (mathematics) , biochemistry , chemistry , software , gene , programming language
The USB camera is used as the front device of the image acquisition. The host computer is a PC for the detection system. Aiming at low resolution of USB camera, the super-resolution image reconstruction method based on sparse representation is used to overcome the low resolution for the low-cost imaging sensor and improve the image resolution. In order to reduce the influence due to shooting light, angle, etc., visual keywords are used for image matching to improve the robustness of the system. The experiment proves that the system is simple in structure and easy to operate, and the detection accuracy of the system can reach 98.67%.