Color Extraction and Research of Image Retrieval Based on Wavelet Territory
| Autor: | Zhi Li Pei, Lin Lin Song, Qing Hu Wang |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Color histogram
Demosaicing Color image Computer science Color normalization business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Pattern recognition General Medicine HSL and HSV Color quantization Wavelet Feature (computer vision) Computer vision Artificial intelligence business Image retrieval Histogram equalization Image gradient |
| Zdroj: | Applied Mechanics and Materials. :418-421 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.631-632.418 |
| Popis: | This paper firstly studies the image color features based on wavelet territory. We introduce a color features’ extract method based on HSI low-frequency subband color features after partition. Firstly, according to the image attention from human eyes, we split the image into sub-blocks. Then extract HSI low-frequency subband color features of each sub-block after wavelet transform, and we can obtain the image color features by weighting. Comparing with traditional histogram 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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