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基于OTSU算法的图像分割有效性研究
引用本文:李思嘉,赵晓焱,张继学. 基于OTSU算法的图像分割有效性研究[J]. 无线电通信技术, 2014, 40(5): 54-56
作者姓名:李思嘉  赵晓焱  张继学
作者单位:1. 河南师范大学物理与电子工程学院,河南新乡,453007
2. 河南师范大学计算机与信息工程学院,河南新乡,453007
3. 国营第七六零厂,河南新乡,453000
基金项目:国家自然科学基金项目,河南师范大学大学生创新创业训练计划项目,教育厅科学技术研究重点项目
摘    要:基于阈值分割的二维OTSU算法的基础上,提出了关于二维OTSU算法的快速实现。该算法既利用了图像的像素点灰度信息,同时又利用了像素点的邻域空间相关信息。对于低对比度、低信噪比的目标,二维最大类间方差算法具有较高的分割效果。实验结果表明,二维最大类间方差算法的快速实现方法使图像分割的有效性得到很大提高,极大地扩大了二维OTSU算法的适用范围。

关 键 词:图像分割  阈值  OTSU算法  快速实现

Research on Image Segmentation Effectiveness Based on OTSU Algorithm
LI Si-jia,ZHAO Xiao-yan,ZHANG Ji-xue. Research on Image Segmentation Effectiveness Based on OTSU Algorithm[J]. Radio Communications Technology, 2014, 40(5): 54-56
Authors:LI Si-jia  ZHAO Xiao-yan  ZHANG Ji-xue
Affiliation:LI Si-jia , ZHAO Xiao-yan, ZHANGJiangxue (1.College of Physics and Electronic Engineering, Henan Normal University, Xinxiang He' nan 453007, China; 2.College of Computer &Information Engineering, Henan Normal University,Xinxiang He' nan 453007, China; 3.Nationalized Seventh Six Zero Factory,Xinxiang He' nan 453000, China)
Abstract:Based on one-dimensional OTSU threshold segmentation algorithm and two-dimensional OTSU algorithm, the fastimplement method of two-dimensional OTSU algorithm is presented.The algorithm uses the image pixel gray level information and thepixel' s neighborhood space information.For low contrast and low SNR,the two-dimensional between-cluster variance algorithm has goodsegmentatiom results. The experimental results show that the fast implement method of two-dimensional between-cluster variancealgorithm improves significantly the image segmentation effectiveness and extends the application scope of two-dimensional OTSU algorithm.
Keywords:image segmentation  threshold  OTSU algorithm  fast implementation
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