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一种基于自适应阈值的图像分割算法
引用本文:王茜,彭中,刘莉.一种基于自适应阈值的图像分割算法[J].北京理工大学学报,2003,23(4):521-524.
作者姓名:王茜  彭中  刘莉
作者单位:北京理工大学,信息科学技术学院光电工程系,北京,100081
基金项目:国家部级科研项目;039604-1;
摘    要:为提高目标检测概率,针对复杂的地面目标红外亚图像,提出了一种以最大类间方差法为基础的自适应阈值图像分割方法。用分割出的目标和背景区域的灰度统计量,设计了一个判断是否得到正确分割的准则.理论分析和实验结果表明,对于复杂背景下低对比度、低信噪比的地面目标,不论目标在图像中所占面积大小,利用该方法均可得到正确的分割结果.通过设置阈值运算的灰度取值范围,可大大减少计算量,节省处理时间.

关 键 词:图像处理  图像分割  阈值分割  自适应阈值  红外亚图像
文章编号:1001-0645(2003)04-0521-04
收稿时间:2003/3/28 0:00:00
修稿时间:2003年3月28日

An Adaptive Method of Image Segmentation
WANG Qian qian,PENG Zhong and LIU Li.An Adaptive Method of Image Segmentation[J].Journal of Beijing Institute of Technology(Natural Science Edition),2003,23(4):521-524.
Authors:WANG Qian qian  PENG Zhong and LIU Li
Institution:Deptarment of Optical Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Deptarment of Optical Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Deptarment of Optical Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China
Abstract:In order to improve the proportion of target detection, a novel adaptive method of automatic threshold selection based on the method of Otsu thresholding is proposed. It takes the gray level statistics of the resultant target and background region as a criterion for discrimination if correct segmentation is obtained. Theoretical analysis shows that correct image segmentation can be obtained for a low contrast image with complex background using this method, no matter the proportion of the target is high or low. Moreover, the amount of computation and the processing time can be decreased greatly by setting a gray level selection threshold. Several experimental results are presented to support the validity of this method.
Keywords:image processing  image segmentation  thresholding segmentation  adaptive thresholding  infrared quiz-image
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