Loading [MathJax]/extensions/MathMenu.js
A color YUV image edge detection method based on histogram equalization transformation | IEEE Conference Publication | IEEE Xplore

A color YUV image edge detection method based on histogram equalization transformation


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 im...Show More

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 YUV color space and histogram equalization transformation. The four steps of the detailed YUV image edge detection method are as follows: decomposing the YUV image, processing the Y component, composing the Y, U and V component and YUV-to-RGB conversion 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.
Date of Conference: 10-12 August 2010
Date Added to IEEE Xplore: 23 September 2010
ISBN Information:

ISSN Information:

Conference Location: Yantai, China

I. INTRODUCTION

Edge detection is the important precondition of image segmentation, the researchers have proposed a series of gray color edge detection methods and have obtained the very good effect. Color is a powerful descriptor and it plays the important role in the aspect of digital image denotation. The statistic shows that about 90% edge information in the color image is the same as in the gray image, that is to say, about 10% edge information in the color image has not been detected, so it is essential that to research the problem of color image edge detection[1], [2], [3], [4]. So during the last years the researchers have put forward a lot of arithmetic on RGB image edge detection. Its material steps are the three steps are as follows: expanding the edge detection method to the three components of RGB color space, combining the edge of the three components by definite logic algorithm and obtaining the color image edge. The common shortcomings of the RGB image edge detection arithmetic are the low speed and the color losses after the each component processing[4], [5]. So YUV color space that is more according with the color vision characteristic than the other color space can be adopted during the processing of the color image edge detection, the paper proposes the basic steps of YUV image edge detection method and improves it according to histogram equalization.

References

References is not available for this document.