Research Article
Image Retrieval Based on the Combination of Region and Orientation Correlation Descriptors
Table 1
Retrieval results of CROCD with different distance measures for Corel-1K.
| Similarity measure | Precision (%) | Recall (%) | 10 | 15 | 20 | 25 | 30 | 10 | 15 | 20 | 25 | 30 |
| WeightL1 | 83.20 | 78.07 | 74.60 | 71.96 | 69.80 | 8.32 | 11.71 | 14.92 | 17.99 | 20.94 | L1 | 75.80 | 71.93 | 69 | 66.24 | 64.10 | 7.58 | 10.79 | 13.80 | 16.56 | 19.23 | Euclidean | 68.40 | 64.60 | 61.70 | 59.32 | 57.70 | 6.84 | 9.69 | 12.34 | 14.83 | 17.31 | Canberra | 80.90 | 76.07 | 72.15 | 69 | 66.54 | 8.09 | 11.41 | 14.43 | 17.25 | 19.96 | | 77.50 | 73.60 | 70.85 | 68.80 | 66.67 | 7.75 | 11.04 | 14.17 | 17.20 | 20 |
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The best retrieval results are shown in bold, which means that CROCD has the best performance on this condition.
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