文章基本信息

标题：Template Matching from 2-D into 1-D
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作者：Yasser Fouda
期刊名称：Journal of Signal and Information Processing
印刷版ISSN：2159-4465
电子版ISSN：2159-4481
出版年度：2014
卷号：5
期号：2
页码：23-31
DOI：10.4236/jsip.2014.52005
出版社：Scientific Research Publishing
摘要：This paper proposes a 1-D template matching algorithm for finding the exact best match for a template image in a source image. The basic idea depends on converting the template and all candidate blocks in the source from 2-D into 1-D. Three different similarity measures in template matching can be used to compute the likeness between the template and blocks. This algorithm can be considered as an alternative for 2-D full search block matching and it achieves a good computational cost. Complexity analysis and experimental results show that the performance of the proposed is superior to that of other basic template matching algorithms.
关键词：Image Processing; Template Matching; Similarity Measures; Image Dimensions Reduction