计算机与现代化 ›› 2011, Vol. 1 ›› Issue (11): 78-4.doi: 10.3969/j.issn.1006-2475.2011.11.021

• 图像处理 • 上一篇    下一篇

基于Harris的角点匹配算法研究

张 勇,余建平,孙军伟,金 铁   

  1. 军事经济学院襄樊分院,湖北襄阳441118
  • 收稿日期:2011-08-15 修回日期:1900-01-01 出版日期:2011-11-28 发布日期:2011-11-28

Research on Corner Matching Method Based on Harris

ZHANG Yong, YU Jian-ping, SUN Jun-wei, JIN Tie   

  1. Xiangfan Branch of Military Economics Academy, Xiangyang 441118, China
  • Received:2011-08-15 Revised:1900-01-01 Online:2011-11-28 Published:2011-11-28

摘要:

采用Harris算法提取图像中的角点,通过相似测度得到粗匹配点集,然后分析比较预提纯匹配点的简单聚类法和视差梯度约束法,从实验结果看,聚类法明显优于视差梯度约束法,为使之适合实时处理的场合,还需要进一步提高RANSAC算法的效率。

关键词: 视差梯度, 聚类, 相似测度

Abstract:

This paper proposes a method to extract corners from the image by the Harris algorithm, and gets rough matched corner set by similar measures. And then compares the simple clustering method and the disparity gradient constraint method for prepurring matching corners. The experimental results show that the clustering method is superior to the parallax Gradient constraint method. It also needs to further improve the efficiency of RANSAC algorithm in order to make it suitable for realtime processing of the occasion.

Key words: disparity gradient, clustering, similarity measure