基于多参量遗传算法的运动目标分割方法

Moving Target Segmentation Method Based on Genetic Algorithms of Multiple Parameters

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．

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.