模糊域的图像边缘检测算法分析  

Image edge detection algorithm in fuzzy domain

作　　者：李刚[1] 朱久进[2] 王越[1] 汪林林[3] 

机构地区：[1]重庆理工大学计算机学院,重庆400050 [2]重庆大学生物工程学院生物材料与仿生工程研究中心,重庆400044 [3]重庆邮电大学计算机学院,重庆400065

出　　处：《重庆大学学报（自然科学版）》2010年第2期117-122,共6页Journal of Chongqing University

基　　金：重庆市科技攻关项目(CSTC2009AC2068);重庆市教育科技计划项目(KJ090617)

摘　　要：提出一种基于模糊域的图像边缘检测算法,结合自适应模糊增强和多方向模糊形态学来检测模糊图像的边缘。自适应模糊增强采用滑动窗口对模糊图像进行分块增强,避免了全图单阈值增强引起的真实边缘损失,具有较强的适应图像区域变化的能力;多方向模糊形态学用多个不同方向的结构元素对增强图像进行运算,以提取具有方向性的真实边缘,并抑制无方向性的噪声。实验证明算法能够有效地检测出模糊图像边缘,抗噪能力强。An image edge detection algorithm in fuzzy domain is proposed, which combines adaptive fuzzy enhancement and multi-direction fuzzy morphology to detect the edges of fuzzy image. The adaptive fuzzy enhancement method enhances the fuzzy image within blocks with sliding windows to avoid losses of the real edges resulting from enhancing with single threshold for the whole image and lead strong adaptive ability to image region variance. The multi-direction fuzzy mathematical morphology operates on the enhanced fuzzy image with structure elements of multiple different directions to extract the real edges with directionality and restrain non directional noise. Experiments show the algorithm can detect fuzzy image edge effectively with strong antinoise ability.

关 键 词：图像处理 边缘检测 模糊增强 模糊形态学 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]