Content Based Image Retrieval using interactive genetic algorithm
Inhaltsverzeichnis
Referenz
Vinee V. Kawade; Arti V. Bang: Content Based Image Retrieval using interactive genetic algorithm. 2014 Annual IEEE India Conference (INDICON), 1 - 6.
DOI
http://dx.doi.org/10.1109/INDICON.2014.7030501
Abstract
Large amounts of databases are created due to the developments in data storage and acquisition technologies. There is a need to develop an appropriate system that will manage these entire databases. Also we need to precisely and effectively retrieve images from these databases for various applications. The Content Based Image Retrieval (CBIR) system serves this purpose. In this paper, we introduce a user based system for CBIR in which genetic algorithm is applied. The different features of color image such as mean, standard deviation and the image bitmap are used for retrieval. In addition, the texture features such as the edge histogram of an image and the entropy of the gray level co-occurrence matrix are used. Furthermore, the genetic algorithm is applied to help the user in identifying the images which satisfy his needs for reducing the gap between the users' expectation and the retrieval results.
Extended Abstract
Bibtex
@INPROCEEDINGS{7030501,
author={V. V. Kawade and A. V. Bang},
booktitle={2014 Annual IEEE India Conference (INDICON)},
title={Content Based Image Retrieval using interactive genetic algorithm},
year={2014},
pages={1-6},
keywords={content-based retrieval;entropy;genetic algorithms;image colour analysis;image retrieval;image texture;CBIR;color image features;content based image retrieval;gray level co-occurrence matrix entropy;image bitmap;image edge histogram;image texture features;interactive genetic algorithm;user based system;Genetic algorithms;Image color analysis;Image edge detection;Image retrieval;Sociology;Statistics;Content based image retrieval;gray level co-occurrence matrix;low level features},
doi={10.1109/INDICON.2014.7030501},
ISSN={2325-940X},
month={Dec},
url={http://dx.doi.org/10.1109/INDICON.2014.7030501 http://de.evo-art.org/index.php?title=Content_Based_Image_Retrieval_using_interactive_genetic_algorithm },
}
Used References
Hassan Farsi, Sajad Mohamadzadeh: Colour and texture feature-based image retrieval by using Hadamard matrix in discrete wavelet transform. Image Processing, IET, vol. 7, issue. 3, pp. 212-218, April 2013. http://dx.doi.org/10.1049/iet-ipr.2012.0203 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6530970
Majid Fakheri, Tohid Sedghi, Mahrokh G. Shayesteh, Mehdi Chehel Amirani: Framework for image retrieval using machine learning and statistical similarity matching techniques. Image Processing, IET, vol. 7 issue. 1, pp. 1-11, February 2013. http://dx.doi.org/10.1049/iet-ipr.2012.0104 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6471891
M. Singha, K. Hemachandran, A. Paul: Content-based image retrieval using the combination of the fast wavelet transformation and the colour histogram Image Processing, IET, vol. 6 issue. 9, pp. 1221-1226, December 2012 http://dx.doi.org/10.1049/iet-ipr.2011.0453 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6407281
Liang Lei, Jun Peng, Bo Yang: Image Retrieval based on 72-Trees and Genetic Algorithm. Proc. 12th IEEE Int. Conf. on Cognitive Informatics & Cognitive Computing, 2013 http://dx.doi.org/10.1109/ICCI-CC.2013.6622271
H.-W. Yoo, H.-S. Park, and D.-S. Jang, "Expert system for color image retrieval", Expert Syst. Appl., vol. 28, no. 2, pp. 347-357, February 2005. http://dx.doi.org/10.1016/j.eswa.2004.10.018
Subrahmanyam Murala, R. P. Maheshwari, Member, IEEE, and R. Balasubramanian: Local Tetra Patterns: A New Feature Descriptor for Content-Based Image Retrieval. IEEE Transactions on Image Processing, vol. 21 issue. 5, pp. 2874-2886, May 2012. http://dx.doi.org/10.1109/TIP.2012.2188809
D. E. Goldberg, "Genetic Algorithms in Search, Optimization, and Machine Learning. " Reading, MA: Addison-Wesley, 1989.
Chih-Chin Lai, Ying-Chuan Chen: A user-oriented image retrieval system based on interactive genetic algorithm. IEEE Transactions on Instrumentation and Measurement, vol. 60, no. 10, October 2011. 10.1109/TIM.2011.2135010
Links
Full Text
