Smart Mapping for Quick Detection of Dissimilar Binary Images

被引：0
|
作者：
Mustafa, Adnan A. Y. [1 ]
机构：
[1] Kuwait Univ, Dept Mech Engn, POB 5969, Safat 13060, Kuwait
来源：
SECOND INTERNATIONAL WORKSHOP ON PATTERN RECOGNITION | 2017年 / 10443卷
关键词：
Binary image; Dissimilarity detection; Probabilistic Matching Model; image mapping;
D O I：
10.1117/12.2280291
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页数：5
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