数学形态学和小波变换的红外图像处理方法

同武勤; 凌永顺; 黄超超; 杨 华; 樊 祥

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数学形态学和小波变换的红外图像处理方法

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- 数学形态学和小波变换的红外图像处理方法
- Processing method of IR image based on mathematical morphology and wavelet transform
- 光学精密工程 2007年15卷第1期页码：138-144
- 作者机构：
  
  1. 中国科学技术大学,安徽合肥,中国,230026
  2. 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
- 作者简介：
- 基金信息：
- DOI：
  中图分类号： TP391.4
- 收稿日期：2006-08-04，
  
  修回日期：2006-09-18，
  
  网络出版日期：2007-01-30，
  
  纸质出版日期：2007-01-30
- 稿件说明：
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同武勤, 凌永顺, 黄超超, 等. 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.

TONG Wu-qin, LING Yong-shun, HUANG Chao-chao, et al. Processing method of IR image based on mathematical morphology and wavelet transform[J]. Optics and precision engineering, 2007, 15(1): 138-144.
同武勤, 凌永顺, 黄超超, 等. 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. DOI：

TONG Wu-qin, LING Yong-shun, HUANG Chao-chao, et al. Processing method of IR image based on mathematical morphology and wavelet transform[J]. Optics and precision engineering, 2007, 15(1): 138-144. DOI：

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。

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.

关键词

Keywords

references

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