摘要
提出一种基于局部沃尔什变换的纹理分割方法.在求取图像中每个像素的局部沃尔什变换系数的基础上,在一定窗口内估计各个变换系数的2、4、6阶矩作为窗口中心像素的纹理特征.然后采用模糊 C 均值算法根据纹理特征对像素进行聚类,取得较好的分割效果.
A texture segmentation algorithm based on Local Walsh transform is presented. For each pixel in the texture images, the local Walsh transform coefficients are computed, and their 2nd,4th and 6th order moments are estimated as the texture features of that pixel. Then all the pixels are clustered by fuzzy C-means algorithm. Experimental results of texture segmentation are fine.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2006年第5期663-666,共4页
Pattern Recognition and Artificial Intelligence
关键词
沃尔什变换
纹理分析
图像处理
模式识别
Walsh Transform, Texture Analysis, Image Processing, Pattern Recognition