An Image Retrieval Algorithm Based on HVS Weighted Color Features
| Autor: | Qing Hu Wang, Zhi Li Pei, Lin Lin Song |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Color histogram
Color image Color normalization business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Color balance Pattern recognition General Medicine Color space Color quantization Feature (computer vision) Color depth Computer vision Artificial intelligence business Algorithm ComputingMethodologies_COMPUTERGRAPHICS Mathematics |
| Zdroj: | Applied Mechanics and Materials. :410-413 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.631-632.410 |
| Popis: | This paper introduces a HVS Weighted color features’ extract method. Firstly, we split the image into sub-blocks and draw the color feature consists of dominant colors in each sub-block. Then weighting the gained color features by making use of Human Visual System. So we can obtain the weighted dominant color feature. Comparing with traditional histogram method and split blocks dominant color method, the experiment results show that the proposed algorithm based on weighted dominant color feature has better retrieval precision. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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