19 June 2017 Smart mapping for quick detection of dissimilar binary images
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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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Adnan A. Y. Mustafa, 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); doi: 10.1117/12.2280291; https://doi.org/10.1117/12.2280291
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