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综合灰度形态学与模糊熵的红外图像区域分割
引用本文:侯德鹏,刘政清,路远. 综合灰度形态学与模糊熵的红外图像区域分割[J]. 光电技术应用, 2007, 22(3): 56-60
作者姓名:侯德鹏  刘政清  路远
作者单位:安徽省红外与低温等离子体重点实验室,安徽,合肥,230037;安徽省红外与低温等离子体重点实验室,安徽,合肥,230037;安徽省红外与低温等离子体重点实验室,安徽,合肥,230037
摘    要:针对目标与背景有交叠的红外图像分割这一难题,首先对原始红外图像进行灰度形态学校正处理,然后利用模糊熵测度方法对校正后的红外图像进行分割,从而提出了一种综合利用灰度形态学与模糊熵的区域分割方法.与传统的阈值分割方法进行对比实验,结果表明,运用该方法得到的分割图像质量更好.

关 键 词:红外图像  区域分割  灰度形态学  模糊熵
文章编号:1673-1255(2007)03-0056-05
收稿时间:2007-03-01
修稿时间:2007-03-01

Infrared Image Region Segmentation Based on Gray Morphology and Fuzzy Entropy
HOU De-peng,LIU Zheng-qing,LU Yuan. Infrared Image Region Segmentation Based on Gray Morphology and Fuzzy Entropy[J]. Electro-Optic Technology Application, 2007, 22(3): 56-60
Authors:HOU De-peng  LIU Zheng-qing  LU Yuan
Affiliation:Key Lab of Infrared and Low Temperature Plasma of Anhui Province, Hefei 230037, China
Abstract:In order to have region segmentation to infrared image which maintain asymmetry backgrounds, an infrared image region segmentation approach by integration of gray morphology and fuzzy entropy is introduced. At first, gray morphology is used to adjust the origin images, and then the region segmentation based on fuzzy entropy is done. The experiment is conducted on various infrared images and the results show that the proposed approach has better performance than some classical segmentation methods based on threshold.
Keywords:infrared image   region segmentation   gray morphology   fuzzy entropy
本文献已被 CNKI 维普 万方数据 等数据库收录!
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