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Using selective correlation coefficient for robust image registration

✍ Scribed by Shun'ichi Kaneko; Yutaka Satoh; Satoru Igarashi

Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
623 KB
Volume
36
Category
Article
ISSN
0031-3203

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✦ Synopsis

A new method is proposed for robust image registration named Selective Correlation Coe cient in order to search images under ill-conditioned illumination or partial occlusion. A correlation mask-image is generated for selecting pixels of an image before matching. The mask-image can be derived from a binary-coded increment sign-image deΓΏned from any object-image and the template. The mask-rate of occluded regions is theoretically expected to be 0.5, while unoccluded regions have much lower rate than 0.5. Robustness for ill-conditioned environment can be realized since inconsistent brightness of occluded regions can be omitted from the mask operation. Furthermore, the mask enhancement procedure is proposed to get more stable robustness. The e ectiveness of masking increases by the procedure, resulting in the rate around 0.7 for masking of occluded regions. This paper includes a theoretical modeling and analysis of the proposed method and some experimental results with real images.

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