Performance Evaluation of Color Based Edge Detectors
نویسندگان
چکیده
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. Keywords—Edge detection, PCA, Hue, Edge fusion, Fusion Based Fuzzy.
منابع مشابه
Transaction / Regular Paper Title
Edge detection has attracted the attention of many researchers and is one of the most important areas in low level computer vision. In recent years, the focus of edge detection has shifted from grayscale single component images to multicomponent color images that utilize the inter-spectral correlation of the neighboring color samples to eliminate color artifacts and increase the accuracy of edg...
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