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Abstract
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Article Information:
Parallel Vectoring Algorithm for Pattern Matching
Khaled Ragab and Y.M. Fouda
Corresponding Author: Khaled Ragab
Submitted: March 19, 2014
Accepted: May 08, 2014
Published: September 05, 2014 |
Abstract:
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The main aim of this study is to propose efficient algorithms for image template matching on parallel machines. To our knowledge there is no a template matching algorithm that converts the template image and all candidate blocks in the source image from two-dimensions into one-dimension. This study proposes a Template Matching Vectoring Algorithm (TMVA) that reduces the amount of data to be analyzed by transforming 2-D images into 1-D images. Moreover, to speed up the vectoring pattern matching algorithm this study implements it in parallel. Complexity analysis and experimental results demonstrate that the performance of the proposed algorithm is superior to the other basic template matching algorithms.
Key words: Image dimensions reduction, image processing, parallel processing, template matching, , ,
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Cite this Reference:
Khaled Ragab and Y.M. Fouda, . Parallel Vectoring Algorithm for Pattern Matching. Research Journal of Applied Sciences, Engineering and Technology, (9): 1066-1074.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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