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

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.