Volume 5 -                   MJEE 2005, 5 - : 1-9 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Geran Gharakhili F, Hakkak M, Mohammadi A. Evaluation of Dissimilarity Measures for Image Retrieval and Classification. MJEE 2005; 5 :1-9
URL: http://mjee.modares.ac.ir/article-17-5324-en.html
Evaluation of Dissimilarity Measures for Image Retrieval and Classification
Fateme Geran Gharakhili1 , Mohammad Hakkak 2, Abbas Mohammadi3
1- Tarbiat Modarres University
2- Tarbiat Modarres Univ.
3- Amirkabir Univ.
Abstract:   (3911 Views)
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
Full-Text [PDF 1574 kb]   (2121 Downloads)    

Received: 2004/03/7 | Accepted: 2005/03/7 | Published: 2006/03/8
Add your comments about this article : Your username or Email:
CAPTCHA
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.