基于LIP的彩色图像边缘检测研究

Edge Detection Study of Color Image Based on LIP

1.前言 边缘是图像中的区域.在这些区域中,图像的亮度发生了陡峭的变化.边缘主要存在于目标与目标、目标与背景、区域与区域(包括不同色彩)之间,是图像分割、纹理特征提取和形状特征提取等图像分析的重要基础.

Edge is one of the most fundamental and significant features. The goal of edge detection is to recover in formation about shapes and reflectance or transmittance in an image. It is one of the fundamental steps in image processing,image analysis,pattern recognition,computer vision,as well as in human vision. In mid 1980s,the logarithmic image processing(LIP)model introduced by Jourilin and Pinoli is characteristic. Its methods are sensitive for lower intensity image ,and its additive operation is closed for bounded image. It has the advantage the other method hasn't. But to compare,edge deection study of color image is quite not enough. In this paper,we developed CLIP model of color image based on LIP model of gray image,and made edge detection in the components fields,and then using multivariate regression method in the model,and satisfying result is obtained.