Topological multi-contour decomposition for image analysis and image retrieval
| Autor: | Mario Augusto Pazoti, Luis Gustavo Nonato, Odemir Martinez Bruno, João do Espirito Santo Batista Neto |
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| Rok vydání: | 2008 |
| Předmět: |
Pixel
business.industry Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Topology Automatic image annotation Image texture Artificial Intelligence Computer Science::Computer Vision and Pattern Recognition Signal Processing Pattern recognition (psychology) Computer vision Computer Vision and Pattern Recognition Visual Word Artificial intelligence business Image retrieval Software ComputingMethodologies_COMPUTERGRAPHICS Feature detection (computer vision) |
| Zdroj: | Pattern Recognition Letters. 29:1675-1683 |
| ISSN: | 0167-8655 |
| DOI: | 10.1016/j.patrec.2008.04.017 |
| Popis: | Successful classification, information retrieval and image analysis tools are intimately related with the quality of the features employed in the process. Pixel intensities, color, texture and shape are, generally, the basis from which most of the features are computed and used in such fields. This papers presents a novel shape-based feature extraction approach where an image is decomposed into multiple contours, and further characterized by Fourier descriptors. Unlike traditional approaches we make use of topological knowledge to generate well-defined closed contours, which are efficient signatures for image retrieval. The method has been evaluated in the CBIR context and image analysis. The results have shown that the multi-contour decomposition, as opposed to a single shape information, introduced a significant improvement in the discrimination power. |
| Databáze: | OpenAIRE |
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