Nezamabadi-Pour, Hosein, Kabir, Ehsanollah (2005). » Research Note « Evaluation of Dissimilarity Measures for Image Retrieval and Classification. , 5(0), 89-98.
Hosein Nezamabadi-Pour; Ehsanollah Kabir. "» Research Note « Evaluation of Dissimilarity Measures for Image Retrieval and Classification". , 5, 0, 2005, 89-98.
Nezamabadi-Pour, Hosein, Kabir, Ehsanollah (2005). '» Research Note « Evaluation of Dissimilarity Measures for Image Retrieval and Classification', , 5(0), pp. 89-98.
Nezamabadi-Pour, Hosein, Kabir, Ehsanollah » Research Note « Evaluation of Dissimilarity Measures for Image Retrieval and Classification. , 2005; 5(0): 89-98.

» 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
Statistics
Article View: 90
PDF Download: 44
Statistics
Number of Journals45
Number of Issues2,171
Number of Articles24,674
Article View24,447,962
PDF Download17,555,109