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基于灰度梯度映射函数的红外图像分割
引用本文:李学广, 焦淑红, 鲁欣. 基于灰度梯度映射函数的红外图像分割[J]. 红外技术, 2007, 29(3): 164-166. DOI: 10.3969/j.issn.1001-8891.2007.03.011
作者姓名:李学广  焦淑红  鲁欣
作者单位:哈尔滨工程大学信息与通信工程学院,哈尔滨,黑龙江,150001
摘    要:在最大类间方差法的基础上,引入灰度梯度映射(GGM)函数,提出了一种改进的阈值选取算法.实验结果表明,提出的新算法能够有效地提取目标,抑制背景噪声点,具有广阔的应用前景.

关 键 词:图像分割  Otsu  GGM
文章编号:1001-8891(2007)03-0164-04
修稿时间:2006-03-23

An Improved Otsu Method for Image Segmentation
LI Xue-guang, JIAO Shu-hong, LU xin. An Improved Otsu Method for Image Segmentation[J]. Infrared Technology , 2007, 29(3): 164-166. DOI: 10.3969/j.issn.1001-8891.2007.03.011
Authors:LI Xue-guang  JIAO Shu-hong  LU xin
Affiliation:Harbin Engineering University Information and Communication Engineering College, Harbin Heilongjiang, 150001, China
Abstract:Otsu is one of the widest application algorithms of image segmentation for automatic selecting threshold.On the basis of this method,an improved algorithm for the selection of image threshold is given in according to introduce the gray level and gradient papping(GGM).The results show that this new algorithm can detect the object and restrain the noise effectively and has a widespread prospect.
Keywords:image segmentation  Otsu  GGM
本文献已被 CNKI 维普 万方数据 等数据库收录!
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