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.
出处
《电子学报》
EI
CAS
CSCD
北大核心
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
关键词
模糊增强
边界检测
图像处理
算法
hay enhancement
generalized fuzzy set
edge detection
