Year: 2025
Type: conference-paper
Abstract: An edge detection algorithm based on Bertrand surface model was proposed to solve the problem of insufficient edge detection accuracy in current visual processing systems First of all, through the traditional detection algorithm of image contour edge contour pixel level, secondly, according to the basic principle of gradient value algorithm, combined with overall image pixel gray level distribution, calculated the whole pixel displacement and displacement based on pixel, regain Bertrand surface of subpixel edge curve, and then realize the edge detection Finally, a visual system is used to detect the edge of the measuring block, and the experimental results show that the improved Bertrand surface sub-pixel edge detection algorithm has higher accuracy.
Authors: Yuancheng You, Na Zhang, Aiju Li, Yangqi Han, Weiming Yan, Zhaoyong Liu
Institution: Chongqing College of Architecture and Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4414307186