A Morphology Algorithm for IR Dim Target Detection Based on Variance-Mark

FANG Yi-qiang; CHENG Zheng-dong; FAN Xiang; ZHU Bin; CHEN Xiao-si

doi:10.3969/j.issn.0372-2112.2015.02.020

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A Morphology Algorithm for IR Dim Target Detection Based on Variance-Mark

更新时间：2025-07-16

- A Morphology Algorithm for IR Dim Target Detection Based on Variance-Mark
- Acta Electronica Sinica Vol. 43, Issue 2, Pages: 338-343(2015)
- 作者机构：
  
  1. 脉冲功率激光技术国家重点实验室,安徽,合肥,230037
  2. 合肥电子工程学院,安徽,合肥,230037
  3. 脉冲功率激光技术国家重点实验室,安徽,合肥,230037
  4. 合肥电子工程学院,安徽,合肥,230037
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61271376, No.61307025);Natural Science Foundation of Anhui Province (No.1208085UF114, No.1308085QF122)
- DOI：10.3969/j.issn.0372-2112.2015.02.020
  CLC： TP391.4
- Published：2015
- 稿件说明：
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FANG Yi-qiang, CHENG Zheng-dong, FAN Xiang, et al. A Morphology Algorithm for IR Dim Target Detection Based on Variance-Mark[J]. Acta Electronica Sinica, 2015, 43(2): 338-343.
DOI：

FANG Yi-qiang, CHENG Zheng-dong, FAN Xiang, et al. A Morphology Algorithm for IR Dim Target Detection Based on Variance-Mark[J]. Acta Electronica Sinica, 2015, 43(2): 338-343. DOI： 10.3969/j.issn.0372-2112.2015.02.020.

摘要

形态学算法在红外小目标检测上具有良好的性能

先对该算法的处理过程进行了分析

结合实际拍摄的红外小目标图像研究发现

算法在处理过程中存在很多不必要的计算

因此从提高算法的实时性出发

提出了一种基于方差标记的形态学方法.该方法首先计算图像每个像素的局部方差

然后由方差根据阈值判断条件对图像进行标记

标记完后再通过形态学算法对标记的部分进行Top-hat运算.理论分析和仿真实验表明

该方法能够极大的提高形态学的检测效率

而且对算法的检测性能有一定的提高.

Abstract

The morphology algorithm has proved to have good performance in IR small target detection

an analysis for the process of the algorithm was done firstly

and combined with the real IR small target images

the factor that much unnecessary calculation in the process of the algorithm was found.So

aimed at promoting the real-time demand

a morphology method that based on variance-mark was proposed.The local variance of every pixel in the image was firstly calculated according to this method

and then the image was marked by the variance and the threshold qualification.After marking the image

the Top-hat operation was carried on the marked pixels by morphology algorithm.The theory analysis and the simulation demonstrated that the detection efficiency was promoted remarkably through the proposed algorithm;furthermore

the detection performance of the algorithm was also improved.

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