Efficient Content-Based Image Retrieval Method Using Color and Texture
| Autor: | Sang-Mi Lee Lee, Sung-Hwan Jung Jung, Hee-Jung Bae Bae |
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| Rok vydání: | 1998 |
| Předmět: |
General Computer Science
Computer science business.industry Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Content-based image retrieval Electronic Optical and Magnetic Materials Automatic image annotation Image texture Feature (computer vision) Computer vision Visual Word Artificial intelligence Electrical and Electronic Engineering business Image retrieval Feature detection (computer vision) |
| Zdroj: | ETRI Journal. 20:272-283 |
| ISSN: | 1225-6463 |
| DOI: | 10.4218/etrij.98.0198.0302 |
| Popis: | In this paper, we propose efficient content-based image retrieval methods using the automatic extraction of the low-level visual features as image content. Two new feature extraction methods are presented. The first one os an advanced color feature extraction derived from the modification of Stricker's method. The second one is a texture feature extraction using some DCT coefficients which represent some dominant directions and gray level variations of the image. In the experiment with an image database of 200 natural images, the proposed methods show higher performance than other methods. They can be combined into an efficient hierarchical retrieval method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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