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图像边界检测的区域对比度模糊增强算法
引用本文:王晖,张基宏.图像边界检测的区域对比度模糊增强算法[J].电子学报,2000,28(1):45-47.
作者姓名:王晖  张基宏
作者单位:深圳大学信息工程学院,深圳 518060
基金项目:国家自然科学基金,广东省高校重点学科重点科研资助课题
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  
文章编号:0372-2112 (2000) 01-0045-03
收稿时间:1998-01-20

An Algorithm of Edge Detection Based on Fuzzy Enhancement of Contrast among Successive Regions
WANG Hui,ZHANG Ji-hong.An Algorithm of Edge Detection Based on Fuzzy Enhancement of Contrast among Successive Regions[J].Acta Electronica Sinica,2000,28(1):45-47.
Authors:WANG Hui  ZHANG Ji-hong
Affiliation:Institute of Information Engineering,Shenzhen University,Shenzhen 518060,China
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 images were translated to correspondent generalized membership function by using upwards Send-trapezoid fuzzy distribution. Results of two examples showed that the algorithm was more effective and faster when used to detect the edges of images.
Keywords:hay enhancement  generalized fuzzy set  edge detection
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