One-dimensional vector based pattern matching

YM Fouda - arXiv preprint arXiv:1409.3024, 2014 - arxiv.org
arXiv preprint arXiv:1409.3024, 2014arxiv.org
Template matching is a basic method in image analysis to extract useful information from
images. In this paper, we suggest a new method for pattern matching. Our method transform
the template image from two dimensional image into one dimensional vector. Also all sub-
windows (same size of template) in the reference image will transform into one dimensional
vectors. The three similarity measures SAD, SSD, and Euclidean are used to compute the
likeness between template and all sub-windows in the reference image to find the best …
Template matching is a basic method in image analysis to extract useful information from images. In this paper, we suggest a new method for pattern matching. Our method transform the template image from two dimensional image into one dimensional vector. Also all sub-windows (same size of template) in the reference image will transform into one dimensional vectors. The three similarity measures SAD, SSD, and Euclidean are used to compute the likeness between template and all sub-windows in the reference image to find the best match. The experimental results show the superior performance of the proposed method over the conventional methods on various template of different sizes.
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