Improved Color Edge Detection by Fusion of Hue, PCA & Hybrid Canny
نویسندگان
چکیده
Edge detection is the name for a set of mathematical methods which target at classifying points in a image at which the image intensity varies sharply or, has discontinuities. This paper has focused on detecting the edges for the Hue factor in Human visual system (HSV). Hue is usually represented by position significance, so the existing edge detection techniques has been incapable to correctly perceive edges of hue factor in HSV color plane. As a consequence, the most popular approaches of color edge detection typically neglected the role of hue factor, thus misplaced some edges triggered by hue variations. This research work has proposed a new color edge detection technique based on the mixture of hue factor and principal component analysis to resolve the problems with existing methods. The algorithm has been designed and implemented in MATLAB. The performance metrics has shown the efficiency of the proposed algorithm over the existing ones.
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