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基于局部极大值的红外弱小目标分割方法

张强 蔡敬菊 张启衡 赵汝进

红外技术2011,Vol.33Issue(1):41-44,4.
红外技术2011,Vol.33Issue(1):41-44,4.

基于局部极大值的红外弱小目标分割方法

Small Dim Infrared Targets Segmentation Method Based on Local Maximum

张强 1蔡敬菊 2张启衡 1赵汝进1

作者信息

  • 1. 中国科学院光电技术研究所,四川,成都,610209
  • 2. 中国科学院研究生院,北京,100039
  • 折叠

摘要

Abstract

A new method based on local maximum is presented for segmenting small dim infrared targets.With the analysis on properties of many infrared images and the research on existing segmentation methods, it can be found that the gray values of target pixels always present to be the maximal in the local area.Building on the principle of IR radiation property of target, the method uses the gradient variations of pixel values in both horizontal and vertical directions to get the local maximum, and then segments targets by means of multi-step gradient voting fusion.The experimental results testify the perfect efficiency of the presenting method.

关键词

红外技术/局部极大值/梯度/阈值/分割

Key words

infrared technology/ local maximum/ grads/ threshold/ segmentation

分类

信息技术与安全科学

引用本文复制引用

张强,蔡敬菊,张启衡,赵汝进..基于局部极大值的红外弱小目标分割方法[J].红外技术,2011,33(1):41-44,4.

基金项目

中国科学院科技创新基金资助项目(NO.A08K001). (NO.A08K001)

红外技术

OA北大核心CSCDCSTPCD

1001-8891

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