An Improved Morphological Edge Detection Method for Color Images of Cotton Foreign Fibers
Most conventional color edge detectors have shortcomings such as high computational cost, difficulty in implementation and missing edges. In this paper, we propose a new, simple and effective method for edge detection in color images. Firstly, color images were captured, and then the edge of color images were detected by edge detection method which is based on improved mathematical morphology. In this edge detector, the new designed operators is fit for most color images of cotton foreign fibers. Both are used simultaneously to describe the color images including more edges than usually used. The experiment results indicate that the proposed method can segment the high-resolution color images of cotton foreign fibers directly and precisely. Fast, easy to implement and satisfactory edge detection due to its characteristics is accomplished with the new designed operators.
Cotton Foreign Fibers Morphological Color Images Edge Detection
Xin Zhang Daoliang Li Wenzhu Yang Jinxing Wang Shuangxi Liu
College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, P. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, P. College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian, Shandong
国际会议
南昌
英文
1020-1023
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）