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== Referenz ==
T. Zhao, J. Lu, Y. Zhang, Q. Xiao: [[Feature selection based on genetic algorithm for CBIR]]. IEEE Congress on Image and Signal Processing, 2, 2008, pp. 495–499.

== DOI ==
http://dx.doi.org/10.1109/CISP.2008.90

== Abstract ==
Automated techniques to optimize feature descriptor weights and select optimum feature descriptor subset are desirable as a way to enhance the performance of content based image retrieval system. In our system, all the MPEG-7 image feature descriptors including color descriptors, texture descriptors and shape descriptors are used to represent low-level image features. We use a real coded chromosome genetic algorithm (GA) and k-nearest neighbor (k-NN) classification accuracy as fitness function to optimize weights. Meanwhile, a binary one and k-NN classification accuracy combining with the size of feature descriptor subset as fitness function are used to select optimum feature descriptor subset. Furthermore, we propose two kinds of two-stage feature selection schemes for weight optimization and descriptor subset selection, which are the integration of a real coded GA and a binary one. The experimental results over 2000 classified Corel images show that with weight optimization, the accuracy of image retrieval system is improved; with the selection of optimum feature descriptor subset, both the accuracy and the efficiency are improved.

== Extended Abstract ==

== Bibtex ==
@INPROCEEDINGS{4566353,
author={T. Zhao and J. Lu and Y. Zhang and Q. Xiao},
booktitle={Image and Signal Processing, 2008. CISP '08. Congress on},
title={Feature Selection Based on Genetic Algorithm for CBIR},
year={2008},
volume={2},
pages={495-499},
keywords={Automation;Biological cells;Content based retrieval;Feature extraction;Genetic algorithms;Image retrieval;MPEG 7 Standard;Multimedia databases;Programmable logic arrays;Shape measurement;Feature selection;genetic algorithm;image retrieval;k-nearest neighbor classifier;multimedia content description interface},
doi={10.1109/CISP.2008.90},
url={http://dx.doi.org/10.1109/CISP.2008.90 http://de.evo-art.org/index.php?title=Feature_selection_based_on_genetic_algorithm_for_CBIR },
month={May},
}

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Gubachelier: Die Seite wurde neu angelegt: „ == Referenz == T. Zhao, J. Lu, Y. Zhang, Q. Xiao: Feature selection based on genetic algorithm for CBIR. IEEE Congress on Image and Signal Processing, 2…“