摘要
分析了Pal模糊边缘检测算法,并针对Pal算法提取边缘轮廓不清晰的问题,提出了一种新的模糊边缘检测算法.该算法重新定义了隶属度函数,简化了复杂的变换运算,而且提出了确定模糊增强变换中最佳隶属度阈值的算法.实验结果表明,该算法提高了运算效率,而且提取的边缘比较精细.
By analyzing Pal algorithm systematically, a new improved fuzzy edge-detection algorithm based on fuzzy sets is presented. In the algorithm the complex transformation calculation is simplified and the membership function is defined. In this algorithm a algorithm determining the optimal threshold value of membership function is also proposed. The experiment indicates that the algorithm is an efficient and valuable edge detection algorithm.
出处
《沈阳理工大学学报》
CAS
2007年第5期54-56,共3页
Journal of Shenyang Ligong University
基金
辽宁省教育厅A类基金(20243303)
关键词
图像处理
闽值
模糊算法
边缘检测
隶属度函数
image processing
threshold
fuzzy algorithm
edge detection
membership function
