电子学报 ›› 2000, Vol. 28 ›› Issue (1): 45-47.

• 论文 • 上一篇    下一篇

图像边界检测的区域对比度模糊增强算法

王 晖, 张基宏   

  1. 深圳大学信息工程学院,深圳 518060
  • 收稿日期:1998-01-20 修回日期:1999-03-10 出版日期:2000-01-25 发布日期:2000-01-25

An Algorithm of Edge Detection Based on Fuzzy Enhancement of Contrast among Successive Regions

WANG Hui, ZHANG Ji-hong   

  1. Institute of Information Engineering,Shenzhen University,Shenzhen 518060,China
  • Received:1998-01-20 Revised:1999-03-10 Online:2000-01-25 Published:2000-01-25

摘要: 分析了Pal的区域对比度模糊增强边界检测算法的不足,给出了一种新的用于增强图像区域之间对比度的广义模糊算子,并利用升半梯形模糊分布将空间域的灰度图像变换为对应的广义隶属度.最后给出的两个实例表明该算法提取图像边界速度快、效果好.

关键词: 模糊增强, 广义模糊集, 边界检测

Abstract: In this paper,drawbacks of the algorithm proposed by Pal to enhance the contrast among adjacent regions were analyzed,based on which,a new generalized fuzzy operator was proposed to enhance the contrast among successive regions,and gray images were translated to correspondent generalized membership function by using upwards semi-trapezoid fuzzy distribution.Results of two examples showed that the algorithm was more effective and faster when used to detect the edges of images.

Key words: fuzzy enhancement, generalized fuzzy set, edge detection

中图分类号: