Moving Target Segmentation Method Based on Genetic Algorithms of Multiple Parameters

候格贤; 吴成柯; 刘靖

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Moving Target Segmentation Method Based on Genetic Algorithms of Multiple Parameters

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- Moving Target Segmentation Method Based on Genetic Algorithms of Multiple Parameters
- Acta Electronica Sinica Issue 1, Pages: 11-14(1998)
- 作者机构：
  
  1. 西安电子科技大学信息工程系!西安
  2. 710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Published：1998
- 稿件说明：
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[1]候格贤,吴成柯,刘靖.基于多参量遗传算法的运动目标分割方法[J].电子学报,1998(01):11-14.

候格贤, 吴成柯, 刘靖. Moving Target Segmentation Method Based on Genetic Algorithms of Multiple Parameters[J]. Acta Electronica Sinica, 1998, (1): 11-14.
[1]候格贤,吴成柯,刘靖.基于多参量遗传算法的运动目标分割方法[J].电子学报,1998(01):11-14. DOI：

候格贤, 吴成柯, 刘靖. Moving Target Segmentation Method Based on Genetic Algorithms of Multiple Parameters[J]. Acta Electronica Sinica, 1998, (1): 11-14. DOI：

摘要

本文提出了用多参量遗传算法（GAS）进行图象中运动目标分割的方法，提出了用灰度、大小、长度、运动速度等多参量进行图象分割的遗传算法方法，最后给出了几个用该方法分割运动目标的实验结果．结果表明，本文所提出的方法能有效地分割出运动目标．

Abstract

A moving target segmentation method using Genetic Algorithms（GAs）of multiple parameters is presented in the paper. First we describe the principles of GAs

next the method of segmenting a image by GAs is discussed .Then we developed a moving target segmentation methed by GAs of multiple parameters

including gray level

size

length

moving velocity

etc. Finally the devefoped method is experimented on several images.The results show that our method has better segmentation qualities.

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