The Research of Binocular Stereo Vision on Switching Arc of Image Processing
The paper put forward a new view that using binocular stereo vision for deep information extraction from switching arc of low voltage apparatus, rebuilding stereo image of moving arc, furthermore, analyzing comprehensively the binocular vision ranging method and image demarcating calculation. It discusses in detail the hardware implement diagram, enhanced processing of arc image, image matching and the test of precision. An edge detection method based on the Gaussian nuclear SVM is proposed by using radial basis function (also known as the kernel RBF) and Lagrange function classification. In this way, a new edge detection model is constructed. The experiment shows that this new method provides a powerful support for improving electrical equipment capability and product reliability.
Switching arc Binocular Stereo Vision Edge detection Parallaz Match
Wang Jinghong Liu Jiaomin Zhao Xiaoying
Information Technology College, Hebei Normal University, Shijiazhuang 050091, China Electrical Appar Electrical Apparatus Institute 323＃, Hebei University of Technology, Tianjin, 300130,China
国际会议
温州
英文
207-211
2009-10-18（万方平台首次上网日期，不代表论文的发表时间）