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基于局部熵差的图象匹配方法--算法及计算机仿真
引用本文:田金文,苏康,柳健,Liu Jian.基于局部熵差的图象匹配方法--算法及计算机仿真[J].宇航学报,1999,20(1):28-32.
作者姓名:田金文  苏康  柳健  Liu Jian
作者单位:华中理工大学图象所图像信息处理与智能控制国家教委开放实验室·武汉·430074
基金项目:国家自然科学基金,国防预研基金
摘    要:传统的灰度相关匹配和基于边缘特征的匹配方法抗噪能力和抗几何失真能力较差,将信息熵的概念引入到图象匹配中,定义了图象局部熵,并由此提出一种新颖的基于局部熵差的图象匹配方法。由于图象熵反映的是图象的局部,因此基于局部熵差的图象匹配方法具有较强的抗噪能力。由于采用了分块、序贯检测及分层搜索技术,计算量大为减少,试验结果表明这是一种非常好的图像匹配方法。

关 键 词:图象匹配  局部熵  抗几何失真  鲁棒性  仿真
修稿时间::1996年10月7

IMAGE MATCHING BASED ON LOCAL ENTROPY DIFFERENCE--ALGORITHM AND COMPUTER SIMULATION
Tian Jinwen,Yang Lei,Su Kang,Liu Jian.IMAGE MATCHING BASED ON LOCAL ENTROPY DIFFERENCE--ALGORITHM AND COMPUTER SIMULATION[J].Journal of Astronautics,1999,20(1):28-32.
Authors:Tian Jinwen  Yang Lei  Su Kang  Liu Jian
Institution:Tian Jinwen Yang Lei Su Kang Liu Jian; (Huazhong University of Science and Technology
Abstract:Traditional image matching methods,which are the gray relating matching algorithm and the edge based features matching algorithm,have neither scale invariability nor rotational invariability.In this paper we have introduced information entropy to image matching and have defined a image local entropy.We propose a novel image matching method based on local entropy difference.This image matching method has very good anti noise properties because the image entropy is relating to image local property.In addition,we adopt some techniques:dividing image to some blocks,series testing and multiresolution searching technique.These techniques have led to raising computing effect.The experiment results show our image matching method is very efficient.
Keywords:Image matching\ Local entropy\ Anti  geometrical deform\ Robustness\ Computing simulating  
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