A Novel Adaptive Fuzzy Model for Image Retrieval

Payam Pourashraf, Mohsen Ebrahimi Moghaddam, Saeed Bagheri Shouraki

2013

Abstract

In many areas of commerce, medicine, entertainment, education, weather forecasting the need for efficient image retrieval system has grown dramatically. Therefore, many researches have been done in this scope; however, researchers try to improve the precision and performance of such system. In this paper, we present an image retrieval method, which uses color and texture based approaches for feature extraction, fuzzy adaptive model and fuzzy integral. The system extracts color and texture features from an image and enhancing the retrieval by providing a unique adaptive fuzzy system that use fuzzy membership functions to find the region of interest in an image. The proposed method aggregates the features by assigning fuzzy measures and combines them with the help of fuzzy integral. Experimental results showed that proposed method has some advantages and better results versus related ones in most of the time.

Paper Citation

in Harvard Style

Pourashraf P., Ebrahimi Moghaddam M. and Bagheri Shouraki S. (2013). A Novel Adaptive Fuzzy Model for Image Retrieval . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 298-302. DOI: 10.5220/0004266702980302

in Bibtex Style

@conference{icpram13,
author={Payam Pourashraf and Mohsen Ebrahimi Moghaddam and Saeed Bagheri Shouraki},
title={A Novel Adaptive Fuzzy Model for Image Retrieval},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={298-302},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004266702980302},
isbn={978-989-8565-41-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - A Novel Adaptive Fuzzy Model for Image Retrieval
SN - 978-989-8565-41-9
AU - Pourashraf P.
AU - Ebrahimi Moghaddam M.
AU - Bagheri Shouraki S.
PY - 2013
SP - 298
EP - 302
DO - 10.5220/0004266702980302