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残冰检测中飞机图像特征点精确提取算法

高建树 杨涛

计算机工程2012,Vol.38Issue(17):205-208,213,5.
计算机工程2012,Vol.38Issue(17):205-208,213,5.DOI:10.3969/j.issn.1000-3428.2012.17.056

残冰检测中飞机图像特征点精确提取算法

Feature Point Accurate Extraction Algorithm of Airplane Image in Residual Ice Detection

高建树 1杨涛2

作者信息

  • 1. 天津大学精密仪器与光电子工程学院,天津300072
  • 2. 中国民航大学地面特种设备研究基地,天津300300
  • 折叠

摘要

Abstract

Traditional corner detection algorithm can not extract the interested feature point. In order to solve this problem, this paper proposes a new template matching algorithm. In this paper, the special points of airplane image are gotten by curvature corner detection algorithm as the matching image. Template matching algorithm is used to extract the best match points. The features of the image with different illumination conditions and shooting angles are extracted and matched. Experimental results show that the algorithm has better adaptability, and improve the accuracy of matching.

关键词

特征点提取/无目的性/模板匹配/像素相关性/误匹配对/固定结构约束

Key words

feature point extraction/ purposelessness/ template matching/ pixel-coherence/ mismatching pair/ fixed structure restraint

分类

信息技术与安全科学

引用本文复制引用

高建树,杨涛..残冰检测中飞机图像特征点精确提取算法[J].计算机工程,2012,38(17):205-208,213,5.

基金项目

国家自然科学基金资助项目(60939001) (60939001)

计算机工程

OACSCDCSTPCD

1000-3428

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