摘要
借助于完全离散小波分解得到的大量子图像数据作为均值移动算法的收敛数据,寻找灰度直方图中灰度集中收敛点,并对其收敛点进行模糊聚类,达到分割图像的目的。这一方法已经在竹材横截面细胞壁结晶区图像的测量中得到实际应用,并已经取得了良好的效果。
A fully unsupervised image texture segmentation algorithem is presented. With the convergence data obtained through the overcomplete wavelet decomposition,the mean shift clustering technique finds possible cluster centres based on the density gradient of data to segment images. This method has been applied to the crystal region image measurement of the cross section of bamboo, and good effect has been achieved.
出处
《计算机应用与软件》
CSCD
北大核心
2007年第12期7-9,共3页
Computer Applications and Software
基金
国家自然科学基金资助项目(30271049)
江苏省高校自然基金资助项目(01KJB220001)
