Smart mapping for quick detection of dissimilar binary images

Adnan A. Y. Mustafa

doi:10.1117/12.2280291

19 June 2017 Smart mapping for quick detection of dissimilar binary images

Adnan A. Y. Mustafa

Proceedings Volume 10443, Second International Workshop on Pattern Recognition; 104430U (2017) https://doi.org/10.1117/12.2280291
Event: Second International Workshop on Pattern Recognition, 2017, Singapore, Singapore

Abstract

In previous work, a probabilistic image matching model for binary images was developed that predicts the number of mappings required to detect dissimilarity between any pair of binary images based on the amount of similarity between them. The model showed that dissimilarity can be detected quickly by randomly comparing corresponding points between two binary images. In this paper, we improve on this quickness for images that have dissimilarity concentrated near their centers. We apply smart mapping schemes to different image sets and analyze the results to show the effectiveness of this mapping scheme for images that have dissimilarity concentrated near their center. We compare three different smart mapping schemes with three different mapping densities to find the best mapping / best density performance.

Citation Download Citation

Adnan A. Y. Mustafa "Smart mapping for quick detection of dissimilar binary images", Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 104430U (19 June 2017); https://doi.org/10.1117/12.2280291

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