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Edge Detection Algorithm based on Color Space Variables

Volume 14, Number 5, May 2018, pp. 885-890
DOI: 10.23940/ijpe.18.05.p6.885890

Chengxiang Shia and Jiayuan Luob

aSchool of Mathematics and Information Engineering, Chongqing University of Education, Chongqing, 400065, China
bSchool of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing, 400074, China

(Submitted on January 29, 2018; Revised on March 12, 2018; Accepted on April 23, 2018)


In view of the large number of environmental influence factors in complex and varied backgrounds, a color image feature extraction method based on color space variables is proposed. According to the method of maximum variance between classes, color space variable values are used to classify images, and filter operators are used to denoise different types of images. The preprocessed image again calculates the foreground segmentation threshold and combines the canny operator, the multiscale theory, and the morphological operator to extract the edge. The results show that this method can effectively process various background color images and provide a new idea and method for intelligent processing of color images.


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