计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (16): 185-187.

• 图形、图像、模式识别 • 上一篇    下一篇

改进的模糊形态学边缘检测算法

王佐成1,唐 素2,薛丽霞2,张喜平1,杨 帆2   

  1. 1.重庆邮电大学 软件学院,重庆 400065
    2.重庆邮电大学 计算机科学与技术学院,重庆 400065
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-06-01 发布日期:2011-06-01

Improved edge detection algorithm based on fuzzy morphology

WANG Zuocheng1,TANG Su2,XUE Lixia2,ZHANG Xiping1,YANG Fan2   

  1. 1.College of Software,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
    2.College of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-06-01 Published:2011-06-01

摘要: 提出了一种新的基于模糊形态学的边缘检测算法。算法结合模糊增强方法和模糊形态学边缘检测方法,使用简单隶属度函数将图像映射到模糊特征平面,利用滑动窗口技术进行模糊增强,增大边缘的灰度差,将增强后的模糊图像调整回原始区域,采用多方向模糊形态学进行边缘提取。实验结果表明该算法优于传统的边缘提取算法。

关键词: 模糊形态学, 模糊增强, 模糊特征平面, 边缘检测

Abstract: A new algorithm of fuzzy mathematical morphology for image edge detection is proposed.The algorithm combines the method of fuzzy enhancing and fuzzy mathematical morphology.It extracts the fuzzy feature matrix from the spatial domain with the linear membership function,executes the fuzzy enhancement with the sliding window technology,obtains the modified fuzzy domain,extracts the edges of the modified image by the multi-directions algorithm of fuzzy mathematical morphology.Experiments testify that the algorithm is both efficient and effective.

Key words: fuzzy mathematical morphology, fuzzy enhancing, fuzzy feature matrix, edge detection