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Image Retrieval System with Interactive Genetic Algorithm Using Distance

Mamta R. Nagpure1 , Suchita S. Mesakar2 , Sonali R. Raut3 , Vanita P.Lonkar4

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-12 , Page no. 109-113, Dec-2014

Online published on Dec 31, 2014

Copyright © Mamta R. Nagpure, Suchita S. Mesakar, Sonali R. Raut , Vanita P.Lonkar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Mamta R. Nagpure, Suchita S. Mesakar, Sonali R. Raut , Vanita P.Lonkar, “Image Retrieval System with Interactive Genetic Algorithm Using Distance,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.12, pp.109-113, 2014.

MLA Style Citation: Mamta R. Nagpure, Suchita S. Mesakar, Sonali R. Raut , Vanita P.Lonkar "Image Retrieval System with Interactive Genetic Algorithm Using Distance." International Journal of Computer Sciences and Engineering 2.12 (2014): 109-113.

APA Style Citation: Mamta R. Nagpure, Suchita S. Mesakar, Sonali R. Raut , Vanita P.Lonkar, (2014). Image Retrieval System with Interactive Genetic Algorithm Using Distance. International Journal of Computer Sciences and Engineering, 2(12), 109-113.

BibTex Style Citation:
@article{Nagpure_2014,
author = {Mamta R. Nagpure, Suchita S. Mesakar, Sonali R. Raut , Vanita P.Lonkar},
title = {Image Retrieval System with Interactive Genetic Algorithm Using Distance},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2014},
volume = {2},
Issue = {12},
month = {12},
year = {2014},
issn = {2347-2693},
pages = {109-113},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=345},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=345
TI - Image Retrieval System with Interactive Genetic Algorithm Using Distance
T2 - International Journal of Computer Sciences and Engineering
AU - Mamta R. Nagpure, Suchita S. Mesakar, Sonali R. Raut , Vanita P.Lonkar
PY - 2014
DA - 2014/12/31
PB - IJCSE, Indore, INDIA
SP - 109-113
IS - 12
VL - 2
SN - 2347-2693
ER -

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Abstract

Digital images have produced a large amount of image data in various areas, such as entertainment, fashion design, education, graphics, medicine, industry, etc. However in order to effectively retrieve the desired images from a large image database, a content-based image retrieval (CBIR) system has become an important research issue to be developed. As no. of the proposed approaches emphasize on finding the best representation for different image features. Because of that a user-oriented mechanism for CBIR method based on an interactive genetic algorithm (IGA) is developed. Color, texture and edge features of an image are extracted quickly using content-based image retrieval (CBIR) system with IGA. The mean value, the standard deviation, and the image bitmap of a color image are used as the features for retrieval. In addition to that entropy based on the gray level co-occurrence matrix and the edge histogram of an image is also considered. The experiments show that the method developed is very fast and retrieval performance achieved 100%.

Key-Words / Index Term

Interactive Genetic Algorithm (IGA), Content Based Image Retrieval (CBIR), Gray Level Concurrence Matrix (GLCM)

References

[1] M. Antonelli, S. G. Dellepiane, and M. Goccia, “Design and implementation of Web-based systems for image segmentation and CBIR,” IEEE Trans. Instrum. Meas., vol. 55, no. 6, Dec. 2006, pp. 1869–1877.
[2] N. Jhanwar, S. Chaudhuri, G. Seetharaman, and B. Zavidovique, “Content based image retrieval using motif cooccurrence matrix,” Image Vis.Comput., vol. 22, no. 14, Dec. 2004, pp. 1211–1220.
[3] J. Han, K. N. Ngan, M. Li, and H.-J. Zhang, “A memory learning framework for effective image retrieval,” IEEE Trans. Image Process., vol. 14, no. 4, Apr. 2005,pp. 511–524.
[4] S.-B. Cho and J.-Y. Lee, “A human-oriented image retrieval system using interactive genetic algorithm,” IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 32, no. 3, May 2002,pp. 452–458.
[5]Colin C. Venteres and Dr. Matthew Cooper, “A Review of Content-Based Image Retrieval Systems”, IEEE Trans. Image Process.May 2009.
[6]FOLDOC, Free On-Line Dictionary Of Computing, “cooccurrence matrix,” May 1995.
[7] Ricardo da Silva Torres, Alexandre Xavier Falcão “Content-Based Image Retrieval: Theory and Applications”, RITA, Volume XIII, June 2006.
[8]D. E. Goldberg, “Genetic Algorithms in Search, Optimization, and Machine Learning” Reading, MA: Addison-Wesley, March 1989.
[9] C. Caldwell and V. S. Johnston, “Tracking a criminal suspect through ‘face-space’ with a genetic algorithm,” in Proc. 4th Int. Conf. GeneticAlgorithms, 1991, pp. 416–421.
[10] E. Baker and M. Seltzer, “Evolving line drawings,” in Proc. Graphics Interface, 1994, pp. 91–100.
[11] Minakshi Banerjeea, MalayK.Kundua, PradiptaMajia,b “Content-based image retrieval using visually significant point features” M. Banerjeeetal./FuzzySetsandSystems160(2009), March 2009, pp.3323–3341.
[12] P.S.Suhasini, Dr. K.Sri Rama Krishna, Dr. I. V. Murali Krishna “CBIR using color histogram processing” Journal of Theoretical and Applied Information Technology Vol6. No1. June 2009, pp.116 - 122.
[13] Ricardo da S. Torresa, Alexandre X. Falcãoa, Marcos A. Gonçalvesb, João P. Papaa, Baoping Zhangc,Weiguo Fanc, Edward A. Foxc “A genetic programming framework for content-based image retrieval” Pattern Recognition 42 (2009) .June 2009,pp.283 – 292.
[14] G. Beligiannis, I. Hatzilygeroudis, C. Koutso jannis, and J. Prentzas, “A GA driven intelligent system for medical diagnosis,” in Proc. KES , vol. 4251. Heidelberg, Germany: Springer-Verlag, 2006, pp. 968 –975
[15] C.-H. Wu, H.-J. Chou, and W.-H. Su,“A genetic approach for coordinate transformation test of GPS positioning,” IEEE Geosci. Remote Sens. Lett., vol. 4, no. 2, Apr. 2007 , pp. 297–301.
[16] S.-T. Pan, “Design of robust D-stable IIR filters using genetic algorithms with embedded stability criterion,” IEEE Trans. Signal Process. , vol. 57, no. 8, Aug. 2009,pp. 3008 -3016.
[17] G. Paravati, A. Sanna, B. Pralio, and F. Lamberti, “A genetic algorithm for target tracking in FLIR video sequences using intensity variation function” IEEE Trans. Instrum. Meas., vol. 58, no. 10, Oct. 2009, pp. 3457 –3467.
[18]S. F. da Silva,M. A. Batista, and C. A. Z. Barcelos,“Adaptive image retrieval through the use of a genetic algorithm,” in Proc. 19th IEEE Int.Conf. Tools WithArtif. Intell , 2007, pp. 557–564.
[19]Z. Steji, Y. Takama, and K. Hirota, “Genetic algorithm based relevance feedback for image retrieval using local similarity patterns,”Inf. Process.Manage., vol. 39, no. 1, Jan. 2003, pp.1-23.
[20] J. Z.Wang, J. Li, and G.Wiederhold, “SIMPLIcity: Semantic sensitive integrated matching for picture libraries,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 9, Sep. 2001, pp.947–963.
[21] Shrikant Chavate, Prof. Parul Dihulia Prof. Vikas Gupta” An approach used for user Oriented Content Based Image Retrieval using Interactive Genetic Algorithm” International Journal of Advanced Research in Computer Science and Software Engineering Volume 3, Issue 11, November 2013.
[22] Micheline Najjar, Jean Pierre Cocquerez, and Christophe Ambroise” A Semi-supervised Learning Approach to Image Retrieval”.
[23] M.Janani, Dr.R.Manicka Chezian “A Survey On Content Based Image Retrieval System” International Journal of Advanced Research in Computer Engineering & Technology Volume 1, Issue 5, July 2012.
[24] V. Ramachandran, Y. Sowjanya Kumari & P. Harini “Image Retrieval System with User Relevance Feedback” International Journal of Computer & Communication Technology (IJCCT), ISSN (ONLINE): 2231 - 0371, ISSN (PRINT): 0975 - 7449 , Vol.-3 , Issue - 4 , 2012.
[25]Zhong Sua, Hongjiang Zhangb, Shaoping Maa”Relevance feedback using a Bayesian classifier in content-based image retrieval” IEEE International Conference on Tools with Artificial Intelligence November 2000.