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Color Texture Image Retrieval Based on Local Extrema Features and Riemannian Distance
A novel efficient method for content-based image retrieval (CBIR) is developed in this paper using both texture and color features. Our motivation is to represent and characterize an input image by a set of local descriptors extracted from characteristic points (i.e., keypoints) within the image. Th...
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| Главные авторы: | , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2017-10-01
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| Серии: | Journal of Imaging |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2313-433X/3/4/43 |
| Метки: |
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