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基于分解的三维Otsu图像分割快速算法
引用本文:龚劬,倪麟,唐萍峰,王菲菲.基于分解的三维Otsu图像分割快速算法[J].计算机应用,2012,32(6):1526-1528.
作者姓名:龚劬  倪麟  唐萍峰  王菲菲
作者单位:重庆大学 数学与统计学院,重庆 401331
摘    要:摘要:针对三维Otsu图像分割算法计算复杂度高,运算量大的问题,本文提出一种基于分解的三维Otsu图像分割快速算法。该算法,首先将三维Otsu分解为三个一维Otsu;然后,在分析一维Otsu的基础上,结合类间距离和类内距离,提出一种新的阈值识别函数设计算法,并给出了快速实现方法。实验结果表明,该算法不仅可以取得较好的分割效果,而且计算量较小,比三维Otsu阈值分割递推算法快1400倍左右。

关 键 词:图像分割  Otsu法  类间距离  类内距离  阈值识别函数  
收稿时间:2011-11-23
修稿时间:2012-01-14

Fast three-dimensional Otsu image segmentation algorithm based on decomposition
GONG Qu , NI Lin , TANG Ping-feng , WANG Fei-fei.Fast three-dimensional Otsu image segmentation algorithm based on decomposition[J].journal of Computer Applications,2012,32(6):1526-1528.
Authors:GONG Qu  NI Lin  TANG Ping-feng  WANG Fei-fei
Affiliation:College of Mathematics and Statistics, Chongqing University, Chongqing 401331,China
Abstract:Concerning the high the computational complexity and huge calculation of the three-dimensional Otsu,a fast three-dimensional Otsu image segmentation algorithm based on decomposition was presented in this paper.Firstly,the original three-dimensional Otsu algorithm was decomposed into three one-dimensional Otsu algorithms.Then,based on the one-dimensional Otsu algorithm,a new algorithm with a new threshold recognition function was proposed,which combined between-class distance with within-class distance,and the fast realization method was also presented.The experimental results show that the proposed algorithm does not only get satisfactory segmentation result,but also improves the calculation speed,about 1 400 times the recursive algorithm for the three-dimensional Otsu method.
Keywords:image segmentation  Otsu algorithm  between-class distance  within-class distance  threshold recognition function
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