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残冰检测中飞机图像特征点精确提取算法
引用本文: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.
作者姓名:高建树  杨涛
作者单位:天津大学精密仪器与光电子工程学院;中国民航大学地面特种设备研究基地
基金项目:国家自然科学基金资助项目(60939001)
摘    要:传统角点检测算法无法精确提取感兴趣的特征点。为此,提出一种新的特征点提取算法。通过曲率角点检测算法提取飞机图像的特征点,并作为待匹配图像,采用像素相关性匹配算法进行特征点提取,利用飞机机身固定结构约束匹配算法去除误匹配对。实验结果表明,该算法具有较好的适应性,能够精确提取特征点。

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
收稿时间:2011-11-15
修稿时间:2011-12-17

Feature Point Accurate Extraction Algorithm of Airplane Image in Residual Ice Detection
GAO Jian-shu,YANG Tao.Feature Point Accurate Extraction Algorithm of Airplane Image in Residual Ice Detection[J].Computer Engineering,2012,38(17):205-208,213.
Authors:GAO Jian-shu  YANG Tao
Affiliation:1.College of Precision Instrument and Opto-electronics Engineering,Tianjin University,Tianjin 300072,China;2.Airport Ground Special Equipments Research Base,Civil Aviation University of China,Tianjin 300300,China)
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.
Keywords:feature point extraction  purposelessness  template matching  pixel-coherence  mismatching pair  fixed structure restraint
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