Performance Evaluation of Color Based Edge Detectors

This paper evaluates the performance of the color based edge detection techniques. As known in prior the color images provides more information than the gray scale images, 90% of the edges are same in both type of images but 10% edges cannot be detected in gray images. Therefore color edge detection may improve the edge clarity further and also avoids false edges. The overall purpose of this paper is to design and implement color edge detectors variations using canny edge detector. This paper ends up with the comparison of Hue, PCA, Fusion of them, Color fuzzy and Fusion based Fuzzy color edge detection algorithms. The overall performance analysis has proven that the fuzzy based color edge detection outperforms over available techniques. But there exists tradeoff between fuzzy and fusion based fuzzy with respect to Pratt's figure of merit.

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