改进的模糊形态学彩色图像边缘检测算法  

Improved color image edge detection algorithm based on fuzzy mathematical morphology

作　　者：陈嫚[1] 朱晓临[1] 李雪艳[1] 朱园珠 

机构地区：[1]合肥工业大学数学学院,安徽合肥230009

出　　处：《合肥工业大学学报（自然科学版）》2014年第8期922-927,共6页Journal of Hefei University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(61272024);安徽省自然科学基金资助项目(11040606M06)

摘　　要：文章针对彩色图像边缘检测问题,提出了一种改进的模糊形态学算法。算法将模糊形态学算法由原来处理灰度图像的标量运算推广到彩色图像的矢量运算,并在此基础上改进了模糊增强公式,同时引入了变形虫结构元素进行边缘提取。实验结果表明:改进的算法能够将模糊形态学较好地运用到彩色图像边缘检测上,且边缘定位准确,充分考虑了图像的局部特征,有一定的抗噪性,能得到光滑有效的边缘信息。An improved algorithm for color image edge detection based on fuzzy morphology is intro-duced .This algorithm extends the fuzzy morphology from the scalar operation for grayscale image to vector operation for color image ,and the fuzzy enhancement formula is improved consequently .More-over ,the amoeba structural elements are introduced for edge extraction .The experimental results show that the algorithm applies fuzzy morphology well to color images edge detection ,locates edge ac-curately ,takes into account the local features of an image fully ,has the property of noise suppression and gets smooth edge effectively .

关 键 词：彩色图像 边缘检测 模糊形态学 变形虫结构元素 矢量运算 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]