Optimal Pixel Matching between Images

Authors:
Yuichi Yaguchi;Kenta Iseki;Ryuichi Oka
Affiliations:
The University of Aizu, Fukushima, Japan;The University of Aizu, Fukushima, Japan;The University of Aizu, Fukushima, Japan
Venue:
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Year:
2009

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Abstract

A two-dimensional continuous dynamic programming (2DCDP) method is proposed for two-dimensional spotting recognition of images. Spotting recognition is simultaneous segmentation and recognition of an image by optimal pixel matching between a reference and an input image. The proposed method performs optimal pixel-wise image matching and two-dimensional pixel alignment, which are not available in conventional algorithms. Experimental results show that 2DCDP precisely matches the pixels of non-linearly deformed images.