图像边界检测的区域对比度模糊增强算法  

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

作　　者：王晖[1] 张基宏[1] 

机构地区：[1]深圳大学信息工程学院,深圳518060

出　　处：《电子学报》2000年第1期45-47,共3页Acta Electronica Sinica

基　　金：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．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.

关 键 词：模糊增强 边界检测 图像处理 算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]