Paper Title :Edge Detection Comparison on Various Color Spaces Using Histogram Equalization
Author :Poonam Chauhan, R. V. Shahabade
Article Citation :Poonam Chauhan ,R. V. Shahabade ,
(2013 ) " Edge Detection Comparison on Various Color Spaces Using Histogram Equalization " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 07-10,
Volume-1,Issue-4
Abstract : Because Color is a powerful descriptor of the color image, so color edge detection has been a staple of color
image segmentation. The paper analyzed the methods of RGB image edge detection, the color image edge detection method
is improved according to the two principles that are conversion transformation between RGB color space and various color
spaces (HSV, YCBCR, YIQ) and histogram equalization transformation. The three steps of the detailed color image edge
detection method are as follows: decomposing the color image, processing one of their component, composing each
component and HSV, YCBCR, YIQ color spaces-to-RGB transformation. The experiment results show that the improved
method compared with the RGB image edge detection methods can not only raise the effect of color image, but also simplify
the method of color image edge detection and also gives the best color space in which this edge detection method is
comparatively the best.
Type : Research paper
Published : Volume-1,Issue-4
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-39
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Published on 2014-01-18 |
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