摘要
分析了当前Pal. King模糊边缘检测算法缺点,结合其思想提出一种新的较好的改进方法;该算法采用新的隶属函数,能简化运算提高速度;运用最大均方差法能自适应求解分割阈值;利用小波变换良好的局部性能和多尺度分析特性,能较完整地提取边缘信息,并且具有较强的抑制噪声能力;实验证明该方法能准确检测图像中的目标边缘,较好地保持目标边缘的连通性,边缘提取清晰,细节丰富,抗噪性强。
The defects of Pal. King algorithm was analyzed and hereby a novel improved algorithm was presented. This algorithm introduced a new membership to simplify the calculation and boost the operationl; adopted the maximum average variance technique to determin the optimal threshold value; utilizing good local performance and multiseale analysis capability of wavelet transformation to more completely detect edges and better resisit noise. By experiment it is tested that this method can accurately detect desired edge points, efficiently keep edge connectivity, maintain clear and plentiful details.
出处
《计算机测量与控制》
CSCD
2008年第8期1164-1165,1176,共3页
Computer Measurement &Control
基金
国家自然科学基金资助项目(60472026)
关键词
模糊增强
隶属函数
阈值
小波多尺度分解
边缘提取
fuzzy enhancement
subject function
and meanwhile have strong resistance to noise. threshold
wavelet multiscale decompose
edge detection
