A Research of Image Retrieval Based on Combined Feature
| Autor: | Lian Jia, Hua Lv, Tiejun Li, Yu-qing Peng, Lukui Shi |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
business.industry
Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Content-based image retrieval Automatic image annotation Image texture Feature (computer vision) Computer vision Visual Word Artificial intelligence business Image retrieval Feature detection (computer vision) Mathematics |
| Zdroj: | 2009 Second International Conference on Intelligent Networks and Intelligent Systems. |
| Popis: | In content-based image retrieval, image has various inherent aspects which reflect its contenets; so how to organize these contents effectively to improve the performance is a valuable research topic. In this paper, a new kind of image retrieval method is proposed which is based on the combined feature of histograms, gray-level co-occurrence matrix and moment invariants. The result of experiment demonstrates that image retrieval based on combined feature has a very good effect. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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