计算机应用研究2013，Vol.30Issue(4)：1223-1225,3.DOI:10.3969/j.issn.1001-3695.2013.04.071
基于三维直方图重建和降维的Renyi熵阈值分割算法
Renyi entropy thresholding algorithm based on rebuilding and dimension reduction of 3D histogram
摘要
Abstract
According to the high computational complexity and poor anti-noise performance of classical 3D Renyi entropical thresholding, this paper proposed a new 3D Renyi entropy image thresholding method. This method rebuilt the 3D histogram and transfered the region in 3D histogram from eight partitions into two partitions, which not only reduced the noise interference but also lowered the computational complexity from O(L6) to O(L). The results show that the presented method has better anti-noise performance and visual quality, and lower time complexity compared with original 3D Renyi entropy' s method.关键词
图像分割/阈值选取/Renyi熵/三维直方图Key words
image segmentation/ threshold selection/ Renyi entropy/ 3D histogram分类
信息技术与安全科学引用本文复制引用
王菲菲,龚劬,倪麟,廖武忠..基于三维直方图重建和降维的Renyi熵阈值分割算法[J].计算机应用研究,2013,30(4):1223-1225,3.基金项目
中央高校基本科研业务费基金资助项目(CDJXS11100032) （CDJXS11100032）
