基于像素灰度关联的边缘检测  

Edge Detection Based on Pixel Gray Correlation

作　　者：许悟生[1] 谢可夫[2] 

机构地区：[1]湖南师范大学物理与信息科学学院,中国长沙410081 [2]湖南师范大学计算机教学部,中国长沙410081

出　　处：《湖南师范大学自然科学学报》2012年第4期26-30,共5页Journal of Natural Science of Hunan Normal University

基　　金：湖南省自然科学基金资助项目(07JJ6131)

摘　　要：在量子理论的启发下,提出将归一化的数字图像看作是一个多维量子系统,利用邻域像素的叠加态结构建立了像素灰度的相干性空间,通过叠加态结构运算取代传统的模板操作,从而实现数字图像的边缘检测.仿真试验结果表明,所提出方法相比传统的Sobel算法检测出来的边缘细节更为丰富,轮廓更为清晰,并且对噪声具有更好的抑制作用.Inspired by quantum theory, the normalization of digital image is viewed as a multidimensional quantum system, in which the edge detection of digital image was accomplished by establishing the pixel gray structure of coherence space with the neighborhood pixels superposition state, and replacing the traditional template operation by the superposition state. The simulation experiment results show that the proposed method can detect more edge details and more clear outline, and has better inhibition effect on noise compared with the traditional algorithm Sobel.

关 键 词：数字图像处理 边缘检测 量子图像 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]