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数学形态学和小波变换的红外图像处理方法
引用本文:同武勤,凌永顺,黄超超,杨华,樊祥.数学形态学和小波变换的红外图像处理方法[J].光学精密工程,2007,15(1):138-144.
作者姓名:同武勤  凌永顺  黄超超  杨华  樊祥
作者单位:1. 解放军电子工程学院,安徽省红外与低温等离子体重点实验室,安徽,合肥,230037
2. 中国科学技术大学,安徽,合肥,230031
基金项目:解放军总装备部预研项目
摘    要:为了从红外热图像中识别和跟踪目标,提出了一种采用数学形态学和小波变换相结合的红外图像处理新方法。该方法首先利用形态开、闭滤波器组对原始图像进行平滑处理;然后采用一种改进的数学形态学的分水岭算法对红外图像进行分割,同时利用考虑了图像纹理信息的小波阈值对分割的图像进行滤波处理;最后针对过分割问题提出了一种利用区域灰度中值对分割区域进行融合处理的算法。实验结果及算法性能评估结果表明,该方法能够较好地解决红外目标的识别问题,具有较好的实用性。

关 键 词:分水岭算法  小波阈值滤波  红外目标检测  红外图像处理
文章编号:1004-924X(2007)01-0138-07
收稿时间:2006-08-04
修稿时间:2006-08-04

Processing method of IR image based on mathematical morphology and wavelet transform
TONG Wu-qin,LING Yong-shun,HUANG Chao-chao,YANG Hua,FAN Xiang.Processing method of IR image based on mathematical morphology and wavelet transform[J].Optics and Precision Engineering,2007,15(1):138-144.
Authors:TONG Wu-qin  LING Yong-shun  HUANG Chao-chao  YANG Hua  FAN Xiang
Affiliation:1. Key Laboratory of Infrared and Low Temperature Plasma b f Anhui Province, PLA Electronic Engineering Institute, He f ei 230037,China 2. University of Science and Technology of China, Hef ei 230031 ,China
Abstract:In the purpose of recognizing and tracking targets from infrared thermal images,an infrared image processing algorithm based on mathematical morphology and wavelet transform was presented.A original image was smoothed with the open and close filters of mathematical morphology,then the infrared image was segmented with improved watershed,simultaneously,the segmented image was processed with the wavelet threshold with picture texture information.For the problem of over-segmentation regions,an effective region merging method was settled to fuse the segmentation region using the region gray median.The experiment results and algorithm performance evaluation show that the method performs well in infrared target recognition and has a good practicability.
Keywords:watershed algorithm  wavelet threshold filter  infrared target detection  infrared imageprocessing
本文献已被 CNKI 维普 万方数据 等数据库收录!
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