» Research Note « Evaluation of Dissimilarity Measures for Image Retrieval and Classification | ||
| The Modares Journal of Electrical Engineering | ||
| Article 8, Volume 5, Issue 0, 2005, Pages 89-98 PDF (2.94 M) | ||
| Authors | ||
| Hosein Nezamabadi-Pour; Ehsanollah Kabir* | ||
| Tarbiat Modarres Univ. | ||
| Abstract | ||
| In this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. The precision-recall measure and the correct classification rate of the k-NN classifier are used to evaluate retrieval and classification performances, respectively. The experimental results for a database of 1000 images from 10 different semantic groups, based on color histogram, directional edge histogram and Gabor features are presented and discussed. | ||
| Keywords | ||
| Dissimilarity measure; Low-level feature; Semantic feature; Classification; : Content-based image retrieval | ||
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