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基于数学形态学的彩色图像边缘检测算法
引用本文:华洁,尹星云.基于数学形态学的彩色图像边缘检测算法[J].佳木斯工学院学报,2011(3):454-455.
作者姓名:华洁  尹星云
作者单位:[1]淮南师范学院数学与计算数学系,安徽淮南232038 [2]淮南师范学院计算机与信息工程系,安徽淮南232038
基金项目:基金项目:安徽高校省级自然科学研究项目(KJ20088128).
摘    要:传统的基于微分算子的边缘检测算法对噪声非常敏感,而基于数学形态学的边缘检测算法具有一定的抗噪声能力.图像边缘不仅由灰度突变产生,颜色或纹理发生突变也产生边.本文考虑了颜色对图像边缘的影响,把一种灰度图像形态学边缘检测算法推广到彩色图像,并与原文献形态学灰度图像边缘检测算法、传统的形态学边缘检测算法进行了比较,实验结果表明本文的算法抗噪声能力更强,提取的边缘更加清晰、完整.

关 键 词:数学形态学  边缘检测  噪声

An Approach of Color Image Edge Detection Based on Mathematical Morphology
Affiliation:HUA -jie, YIN Xing - yun ( 1. Mathematical Department, Huainan Normal University; 2. Computer and Information Engineering Department, Hualnan Normal University, Huainan 232038, China)
Abstract:Traditional operators of edge detector are sensitive to noise. Operators ot edge detector ot math- ematical morphology have the ability to weaken these defects. Based on the study of mathematical morphology, an algorithm of edge detection of gray - image was extended to dispose color images. Experiments demonstrate that compared with traditional edge detectors, this edge detector has a good performance of noise reduction and keeping the peripheral information.
Keywords:mathematical morphology  edge detection  noise reduction
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