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This paper presents a road signs detection, recognition and tracking system based on multi-cues hybrid. In detection stage, the color and gradient cues are used to segment the interesting regions, and the corner and geometrical cues are used to detect the signs. A pseudo RGB-HSI conversion method without the need of nonlinear transformation is presented for color extraction. In recognition stage,...
In this work, we described a new two-stage hierarchical framework for mammogram retrieval. We tested the proposed approach on the reference library from USF-DDSM. For each query ROI (region of interest), the proposed scheme first computes its 14 texture and shape features, then the voting method based on five classifiers is used to classify the ROIs in the reference library, this phase eliminates...
In order to detect, track and recognize objects in images, one has to develop statistical models for features representing those objects. Shapes and textures are two main features that are used for this purpose. While past research has developed separate techniques for analyzing these for these two features, our goal is to study them together. We represent the 2D coordinates of the boundary and the...
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