Geran Gharakhili, Fateme, Hakkak, Mohammad, Mohammadi, Abbas (2005). Evaluation of Dissimilarity Measures for Image Retrieval and Classification. , 5(0), 1-9.
Fateme Geran Gharakhili; Mohammad Hakkak; Abbas Mohammadi. "Evaluation of Dissimilarity Measures for Image Retrieval and Classification". , 5, 0, 2005, 1-9.
Geran Gharakhili, Fateme, Hakkak, Mohammad, Mohammadi, Abbas (2005). 'Evaluation of Dissimilarity Measures for Image Retrieval and Classification', , 5(0), pp. 1-9.
Geran Gharakhili, Fateme, Hakkak, Mohammad, Mohammadi, Abbas Evaluation of Dissimilarity Measures for Image Retrieval and Classification. , 2005; 5(0): 1-9.

Evaluation of Dissimilarity Measures for Image Retrieval and Classification

The Modares Journal of Electrical Engineering
Article 1, Volume 5, Issue 0, 2005, Pages 1-9    PDF (1.54 M)
Authors
Fateme Geran Gharakhili1; Mohammad Hakkak* 2; Abbas Mohammadi3
1Tarbiat Modarres University
2Tarbiat Modarres Univ.
3Amirkabir 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
Content-based image retrieval; Dissimilarity measure; Low-level feature; Semantic feature; Classification
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