A Color Image Edge Detection Method of Gradient Extreme Value Based on CLIP Model

Abstract

Edge detection has been widely used in computer vision and image processing. Various edge detection methods of color image have been proposed which usually apply the components of a color image equally to obtain the ultimate result. In this paper we propose a novel method for edge detection in color image. First, the CLIP model of color image based on LIP model of gray image is developed, and then analyzed the existing problems of gradient algorithm with HSV color image characteristics and the separation by color hue, saturation and brightness information and proposes a color image edge detection method based on gradient extreme value of the local region and satisfying result is obtained.