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Feature Extraction using Overlap Blocks for Content based Image Retrieval

by Sinora Banker Ghosalkar, Vinayak A.Bharadi, Sanjay Sharma, Asif Ansari
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 28 - Number 7
Year of Publication: 2011
Authors: Sinora Banker Ghosalkar, Vinayak A.Bharadi, Sanjay Sharma, Asif Ansari
10.5120/3401-4738

Sinora Banker Ghosalkar, Vinayak A.Bharadi, Sanjay Sharma, Asif Ansari . Feature Extraction using Overlap Blocks for Content based Image Retrieval. International Journal of Computer Applications. 28, 7 ( August 2011), 14-20. DOI=10.5120/3401-4738

@article{ 10.5120/3401-4738,
author = { Sinora Banker Ghosalkar, Vinayak A.Bharadi, Sanjay Sharma, Asif Ansari },
title = { Feature Extraction using Overlap Blocks for Content based Image Retrieval },
journal = { International Journal of Computer Applications },
issue_date = { August 2011 },
volume = { 28 },
number = { 7 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 14-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume28/number7/3401-4738/ },
doi = { 10.5120/3401-4738 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:14:07.809123+05:30
%A Sinora Banker Ghosalkar
%A Vinayak A.Bharadi
%A Sanjay Sharma
%A Asif Ansari
%T Feature Extraction using Overlap Blocks for Content based Image Retrieval
%J International Journal of Computer Applications
%@ 0975-8887
%V 28
%N 7
%P 14-20
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The paper presents an extension of content based image retrieval (CBIR) techniques based on Overlap Modified Block Truncation Coding (BTC) and Overlap Gabor Magnitude. Modified Block truncation coding based features is one of the CBIR methods proposed using color features of image. The approach basically considers red, green and blue planes of an image to compute feature vector. This MBTC based CBIR can be extended as Overlap Modified BTC for performance improvement in image retrieval. The Overlap Gabor Magnitude technique is used for texture features of image. The CBIR techniques like MBTC, Gabor and Fusion of MBTC and Gabor are further modified using overlap blocs technique to analyze and compare their performances. The proposed CBIR technique is implemented on a database having 1000 images spread across 11 categories and COIL image database having 1080 images spread across 15 categories. For each proposed CBIR technique 55 queries (5 per category) are fired on the database and net average precision and recall are computed. The results have shown performance improvement (higher precision and recall values) with Overlap (Fusion technique , Gabor Magnitude and Modified BTC compared to Non-Overlap (Fusion technique , Gabor Magnitude and Modified BTC ).In all Overlap technique based CBIR system gives best performance.

References
  1. Flickner M. et al, “Query by image and video content: the QBIC system” IEEE Computer 1995, 28(9), pp 23-32
  2. Gupta A. et al, “The Virage image search engine: an open framework for image management”, in Storage and Retrieval for Image and Video.
  3. Dr. Fuhui Long, Dr. Hongjiang Zhang and Prof. David Dagan Feng,“Fundamentals of Content-Based Image Retrieval,”
  4. Faloutsos, C et al (1994) “Efficient and effective querying by image content” Journal of Intelligent Information Systems 3, 231-262.
  5. H.B.Kekre, Sudeep D. Thepade, “Boosting Block Truncation Coding with Kekre’s LUV Color Space for Image Retrieval”, International Journal of Electrical, Computer, and Systems Engineering 2;3 © www.waset.org Summer 2008.
  6. Guoping Qiu, “Color Image Indexing Using BTC,”IEEE Transactions on ImagProcessing, VOL.12, NO.1, pp.93-101, January 2003.
  7. Scassellati, B et al (1994) “Retrieving images by 2-D shape: a comparison of computation methods with human perceptual judgements” in Storage and Retrieval for Image and Video Databases II (Niblack, W R and Jain, R C, eds), Proc SPIE 2185, 2-14.
  8. B.G.Prasad, K.K. Biswas, and S. K.Gupta,” Region –based image retrieval using integrated color, shape, and location index,” computer vision and image understanding, October 2003.
  9. H B Kekre and V A Bharadi, “Modified BTC & Walsh coefficients Based Features for Content Based Image Retrieval” , Thadomal Shahani Engineering College, Bandra (East), Mumbai-51.
  10. Sinora Banker Ghosalkar,Vinayak A Bharadi,"Content-based Image Retrieval System",National Conference-Jabalpur,2009.
  11. Kai-Kuang Ma, Lei Huang, Shan Zhu, and Ho, A.T.S., “SPOT image compression using block truncation coding techniques ” Geoscience and Remote Sensing, IGARSS '97, Remote Sensing – A Scientific Vision for Sustainable Development., 1997 IEEE International，Volume 4, pp.1996 – 1998，Aug. 1997.
  12. H.B. Kekre, V.A. Bharadi, S.D. Thepade, B.K. Mishra, S.E. Ghosalkar, S.M. Sawant, "Content Based Image Retreival Using Fusion of Gabor Magnitude and Modified Block Truncation Coding," icetet, pp.140-145, 2010 3rd International Conference on Emerging Trends in Engineering and Technology, 2010.
  13. ArtiKhaparde,,B.L.Deekshatulu,M.Madhavilath,ZakiraFarheen,Sandhya Kumari V, "Content Based Image Retrieval Using Independent Component Analysis”, IJCSNS International Journal ofComputer Science and Network Security, VOL.8 No.4, April 2000.
Index Terms

Computer Science
Information Sciences

Keywords

Content based image retrieval Modified BTC Gabor Magnitude color texture

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