计算机工程与应用2013，Vol.49Issue(1)：181-185,5.DOI:10.3778/j.issn.1002-8331.1111-0459
基于分解的二维Renyi灰度熵的图像阈值分割
Decomposition based two-dimensional thresholding for image using Renyi gray entropy
摘要
Abstract
Because of the high computational complexity of classical 2D Renyi entropy thresholding, a new 2D Renyi gray entropy image thresholding is proposed. This method calculates two optimal thresholds of 1D Renyi gray entropy algorithm independently instead of the optimal threshold of a 2D Renyi gray entropy algorithm. It proves that the two are equal when some condition is satisfied, and its computational complexity is reduced from O(L4) to O(L), the computational time is only one ten-thousandth of the computational time than of the classical method.关键词
图像分割/阈值选取/Renyi熵/分解Key words
image segmentation/ threshold/ Renyi entropy/ decomposition分类
信息技术与安全科学引用本文复制引用
龚劬,王菲菲,倪麟..基于分解的二维Renyi灰度熵的图像阈值分割[J].计算机工程与应用,2013,49(1):181-185,5.基金项目
重庆大学"211工程"三期创新人才培养计划建设项目(No.S-09110). （No.S-09110）
