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基于遗传算法的图像配准研究及改进

周春燕 贾渊

计算机技术与发展2011,Vol.21Issue(8):46-49,4.
计算机技术与发展2011,Vol.21Issue(8):46-49,4.

基于遗传算法的图像配准研究及改进

Research and Improvement of Image Registration Based on Genetic Algorithm

周春燕 1贾渊1

作者信息

  • 1. 西南科技大学计算机科学与技术学院,四川绵阳621000
  • 折叠

摘要

Abstract

Using stereo matching technique and the image point distance information can make the three-dimensional representation possible. The stereo image matching is a key problem for stereo vision, and also it's a typical " pathological" problem. In order to improve die matching anti-interference ability and global optimal solution, a new approach to stereo matching using the improved genetic algorithm was proposed. Image edge is used as matching primitive. According to the characteristic that genetic algorithm can easily acquire entirely optimal answers, feature points in the image are encoded as chromosomes. The evaluation function and the corresponding genetic operators are redesigned to fit in the stereo matching. Rank transform of the image is used in order to improve the antinoise ability of the algorithm. Experimental results show that the proposed method is effective.

关键词

立体匹配/遗传算法/边缘检测/Rank变换

Key words

stereo matching/genetic algorithm/ edge detection/Rank transform

分类

信息技术与安全科学

引用本文复制引用

周春燕,贾渊..基于遗传算法的图像配准研究及改进[J].计算机技术与发展,2011,21(8):46-49,4.

基金项目

国家863项目(2008AA10Z211) (2008AA10Z211)

校博士基金项目(08zx7101) (08zx7101)

计算机技术与发展

OACSTPCD

1673-629X

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