A user-oriented image retrieval system based on interactive genetic algorithm
Inhaltsverzeichnis
Referenz
C.-C. Lai and Y.-C. Chen. A user-oriented image retrieval system based on interactive genetic algorithm. Instrumentation and Measurement, IEEE Transactions on, 60(10):3318-3325, oct. 2011.
DOI
http://dx.doi.org/10.1109/TIM.2011.2135010
Abstract
Digital image libraries and other multimedia databases have been dramatically expanded in recent years. In order to effectively and precisely retrieve the desired images from a large image database, the development of a content-based image retrieval (CBIR) system has become an important research issue. However, most of the proposed approaches emphasize on finding the best representation for different image features. Furthermore, very few of the representative works well consider the user's subjectivity and preferences in the retrieval process. In this paper, a user-oriented mechanism for CBIR method based on an interactive genetic algorithm (IGA) is proposed. Color attributes like the mean value, the standard deviation, and the image bitmap of a color image are used as the features for retrieval. In addition, the entropy based on the gray level co-occurrence matrix and the edge histogram of an image are also considered as the texture features. Furthermore, to reduce the gap between the retrieval results and the users' expectation, the IGA is employed to help the users identify the images that are most satisfied to the users' need. Experimental results and comparisons demonstrate the feasibility of the proposed approach.
Extended Abstract
Bibtex
@ARTICLE{5753936,
author={C. C. Lai and Y. C. Chen},
journal={IEEE Transactions on Instrumentation and Measurement},
title={A User-Oriented Image Retrieval System Based on Interactive Genetic Algorithm},
year={2011},
volume={60},
number={10},
pages={3318-3325},
keywords={content-based retrieval;genetic algorithms;image colour analysis;image representation;image retrieval;matrix algebra;multimedia databases;visual databases;CBIR method;IGA;color attributes;content-based image retrieval system;digital image libraries;gray level co-occurrence matrix;image bitmap;interactive genetic algorithm;mean value;multimedia databases;standard deviation;user-oriented image retrieval system;Biological cells;Humans;Image color analysis;Image edge detection;Image retrieval;Pixel;Semantics;Content-based image retrieval (CBIR);human–machine interaction;interactive genetic algorithm (GA) (IGA);low-level descriptors},
doi={10.1109/TIM.2011.2135010},
ISSN={0018-9456},
month={Oct},
url={http://dx.doi.org/10.1109/TIM.2011.2135010 http://de.evo-art.org/index.php?title=A_user-oriented_image_retrieval_system_based_on_interactive_genetic_algorithm },
}
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