摘要
比较全面地分析了 Pal.King模糊边缘检测算法的缺陷 ,提出了一种新的快速模糊边缘检测算法。该算法不仅克服了 Pal.King模糊检测算法定义的不足 ,简化了复杂的变换和逆变换运算 ,而且针对 Pal.King算法中对隶属度阈值设置为固定值的不足 ,提出了自动确定模糊增强变换中最佳隶属度阈值的算法 ,并在此基础上实现模糊增强函数中增强阈值的自动获取。仿真结果证明 ,该算法效率高、提取边缘精细、适用面广 。
This paper completely analyses the default of Pal.King fuzzy edge testing algorithm and gives a new fast fuzzy edge testing algorithm.The algorithm can not only overcome the weakness of Pal.King fuzzy testing algorithm definition and simplify the complex change and contravariant operation,but also proposes an algorithm which automatically identifies the best membership grade threshold value in fuzzy enhancement change and can realize the automatic acquisition of enhancement threshold value in fuzzy enhancement function.The simulation results prove that the algorithm is efficient,the acquisition edge is fine,and the application scope is wide,it is a very practical image processing algorithm.
出处
《电脑开发与应用》
2005年第1期4-6,共3页
Computer Development & Applications
基金
国家 8 6 3科学基金项目 (2 0 2 AA8130 32)
