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In this paper, we propose a novel texture descriptor, Structured Texton, to extract and characterize meaningful texture patterns in images. Structured Textons are constructed by grouping local extremum regions connected by the nesting relationship. To further improve the discriminative ability, high order texton words are generated from the Structured Textons, preserving both the appearance information...
Object-based image retrieval (OBIR) problem, in which the user is only interested in a fraction of the image, remains unsatisfactory, as it relies highly on accuracy. To address this problem, a novel method basing on bipartite graph matching is proposed in this paper. On the basis of the extraction of image features, we define a cost function according to the bipartite graph theory and minimize it...
Matching is a central problem in pattern recognition and computer vision, its applications includes object detection and tracking. HCMA (hierarchical chamfer matching) is a classical image matching algorithm, which utilizes the edge information to match the images robustly and the multi-resolution pyramid to accelerate the matching process. However, for images with cluttered background and high resolution,...
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