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基于相关输出相似性度量的目标识别算法
引用本文:胡茂海. 基于相关输出相似性度量的目标识别算法[J]. 中国激光, 2012, 39(4): 409002-194
作者姓名:胡茂海
作者单位:胡茂海:南京理工大学电光学院, 江苏 南京 210094
摘    要:
为了提高光学联合变换相关器(JTC)的目标识别能力,基于相似性度量原理,提出了一种新颖的相关输出图像数字处理算法。实验结果表明,该算法能够准确地识别旋转畸变-4°到+10°及缩放比例畸变70%到140%范围内的待识别目标,极大地提高了光学联合变换相关器的畸变不变容忍度。

关 键 词:图像处理  联合变换相关器  相似性度量  相关峰
收稿时间:2011-11-01

Algorithm of Object Recognition Based on Similarity Measurement of Correlation Output
Hu Maohai. Algorithm of Object Recognition Based on Similarity Measurement of Correlation Output[J]. Chinese Journal of Lasers, 2012, 39(4): 409002-194
Authors:Hu Maohai
Affiliation:Hu Maohai (Department of Optical Engineering,Nanjing University of Science and Technology,Nanjing,Jiangsu 210094,China)
Abstract:
In order to improving the ability of objective recognition with optical joint transform correlator (JTC). A novel algorithm for the correlator output image is proposed. The experimental results show that this algorithm can accurately identify the object with rotated range form -4° to +10° and scale range from 70% to 140%, improve tremendously the distortion unchanged tolerance.
Keywords:image processing  joint transform correlator  similarity measurement  correlative peak
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