Review Article
Content-Based Image Retrieval and Feature Extraction: A Comprehensive Review
Table 1
A summary of the performance of color features.
| Author | Application | Method | Dataset | Accuracy |
| Duanmu [25] | Image retrieval | Color moment invariant | COIL-100 | 0.985 | Wang et al. [26] | Content-based image retrieval | Integrated color and texture features | Corel | 0.613 | Zhang et al. [27] | Object recognition | Complete set of pseudo-Zernike invariants | COIL-100 | ā | Guo et al. [28] | Content-based image retrieval | Error diffusion block truncation coding features | Corel | 0.797 | Shao et al. [24] | Image retrieval | MPEG-7 dominant color descriptor | Corel | 0.8964 | Liu et al. [29] | Region-based image retrieval | High-level semantics using decision tree learning | Corel | 0.768 | Islam et al. [30] | Automatic categorization of image regions | Dominant color-based vector quantization | Corel | 0.9767 | Jiexian et al. [31] | Content-based image retrieval | Multiscale distance coherence vector algorithm | MPEG-7 image database | 0.97 |
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