Color image retrieval using edge-spatial feature
| Autor: | Zhao Shan, Gao Guo-hong, Zhao Qian |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Color histogram
Color normalization Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Color balance HSL and HSV Content-based image retrieval Edge detection Image texture Histogram Computer vision Visual Word Image retrieval Histogram equalization Image gradient ComputingMethodologies_COMPUTERGRAPHICS Hue Feature detection (computer vision) Pixel Color image business.industry Binary image Pattern recognition Color quantization Feature (computer vision) Computer Science::Computer Vision and Pattern Recognition RGB color model Artificial intelligence business Image histogram |
| Zdroj: | 2010 5th International Conference on Computer Science & Education. |
| DOI: | 10.1109/iccse.2010.5593745 |
| Popis: | Color image retrieval based on histogram is analyzed and a novel method is proposed based on the image edge information. Firstly, the image edge is extracted by the use of the color vector angles because of its character which is insensitive to illumination but sensitive to hue and saturation. Then, the color vector angle histogram of the image edge is constructed to describe the image feature. With this descriptor, the color information, edge information and shape feature have been taken into account. Experimental results have shown that the proposed method not only has sound retrieval performance but also has the robustness against illumination changes, position translation, scale translation of the image content. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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