Zernike矩结合Sobel算子的边缘检测  

Edge detection based on Zernike moments and Sobel operator

作　　者：董静[1] 王正勇[1] 

机构地区：[1]四川大学电子信息学院,四川成都610064

出　　处：《信息与电子工程》2011年第2期202-205,210,共5页information and electronic engineering

基　　金：四川省科技攻关基金资助项目(05GG021-026-03)

摘　　要：提出了一种亚像素级的噪声图像边缘检测算法。首先使用基于各向异性扩散的非线性正则化Perona-Malik模型,实现对图像的平滑滤波;然后用改进的Sobel算子对图像进行初步边缘检测,将检测到的包括真正的和少数伪边缘点的坐标生成链表记录下来,原灰度图像保留;最后利用Zernike矩进行亚像素级的边缘精确定位。实验结果表明,此算法解决了传统算法中伪边缘点过多和边缘检测结果较宽的问题,图像的质量接近于定位准确度为亚像素级的小波算法。A sub-pixel level algorithm in edge detection of noisy image was proposed.Firstly,the nonlinear regularized Perona-Malik model based on anisotropy diffusion was adopted to realize smooth filtering on the image.Then the improved Sobel operator was used to perform preliminary edge detection on the image and record the coordinates of the real and a few false edge points in the form of linked list with the original gray image being retained.Finally,the proposed Zernike moments were employed to locate the sub-pixel edge accurately.The results indicate that the proposed algorithm has solved the problems of excessive false edge points and the wider edge detection outcome of the traditional algorithm;the image quality treated by the proposed method is close to that treated by wavelet algorithm with a positioning accuracy of sub-pixel.

关 键 词：正则化Perona-Malik模型 SOBEL算子 ZERNIKE矩 边缘检测 亚像素级 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]