Research Article

Image Retrieval Based on the Combination of Region and Orientation Correlation Descriptors

Table 2

Retrieval results of CROCD in different color spaces for Corel-1K dataset.

Color spacePrecision (%)Recall (%)
10152025301015202530

HSV72 (nonuniform)83.2078.0774.6071.9669.808.32011.7114.9217.9920.94
7280.6077.6073.7570.5668.778.06011.6414.7517.6420.63
10879.5074.7371.4568.8067.077.95011.2114.2917.2020.12
1288175.8072.9070.4068.038.10011.3714.5817.6020.41
19278.7073.9371.1569.2467.277.87011.0914.2317.3120.18

RGB1672.9068.1365.1062.2059.707.29010.2213.0215.5517.91
3279.2074.7471.5568.4866.437.92011.2114.3117.1219.93
6477.9073.9370.2567.4865.207.79011.0914.0516.8719.56
12878.5074.4770.6067.9265.577.85011.1714.1216.9819.67

Lab4564.5060.805754.6051.676.4509.12011.4013.6515.50
9071.5065.4762.1059.2456.677.1509.82012.4214.8117
18069.7065.3361.9059.6457.136.9709.80012.3814.9117.14
22569.8065.1362.3059.5257.106.9809.77012.4614.8817.13

The best retrieval results are shown in bold, which means that CROCD has the best performance on this condition.