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Article:Image Retrieval with Shape Features Extracted using Gradient Operators and Slope Magnitude Technique with BTC

by Dr.H.B.Kekre, Priyadarshini Mukherjee, Shobhit Wadhwa, Satyajit Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 6 - Number 8
Year of Publication: 2010
Authors: Dr.H.B.Kekre, Priyadarshini Mukherjee, Shobhit Wadhwa, Satyajit Singh
10.5120/1094-1430

Dr.H.B.Kekre, Priyadarshini Mukherjee, Shobhit Wadhwa, Satyajit Singh . Article:Image Retrieval with Shape Features Extracted using Gradient Operators and Slope Magnitude Technique with BTC. International Journal of Computer Applications. 6, 8 ( September 2010), 28-33. DOI=10.5120/1094-1430

@article{ 10.5120/1094-1430,
author = { Dr.H.B.Kekre, Priyadarshini Mukherjee, Shobhit Wadhwa, Satyajit Singh },
title = { Article:Image Retrieval with Shape Features Extracted using Gradient Operators and Slope Magnitude Technique with BTC },
journal = { International Journal of Computer Applications },
issue_date = { September 2010 },
volume = { 6 },
number = { 8 },
month = { September },
year = { 2010 },
issn = { 0975-8887 },
pages = { 28-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume6/number8/1094-1430/ },
doi = { 10.5120/1094-1430 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:54:54.044970+05:30
%A Dr.H.B.Kekre
%A Priyadarshini Mukherjee
%A Shobhit Wadhwa
%A Satyajit Singh
%T Article:Image Retrieval with Shape Features Extracted using Gradient Operators and Slope Magnitude Technique with BTC
%J International Journal of Computer Applications
%@ 0975-8887
%V 6
%N 8
%P 28-33
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The paper discusses novel image retrieval methods based on shape features extracted using gradient operators and slope magnitude technique with Block Truncation Coding (BTC). Four variations of proposed ‘Mask-Shape-BTC’ image retrieval techniques are proposed using gradient masks like Robert, Sobel, Prewitt and Canny. The proposed image retrieval techniques are tested on generic image database with 1000 images spread across 11 categories. In all 55 queries (5 from each category) are fired on the image database. The average precision and recall of all queries are computed and considered for performance analysis. In all the considered gradient operators for shape extraction, ‘Mask-Shape-BTC’ CBIR techniques outperform the ‘Mask-Shape’ CBIR techniques. The performance ranking of the masks for proposed image retrieval methods can be listed as Robert (best performance), Prewitt, Sobel and lastly the Canny.

References
  1. Dr.H.B.Kekre, Sudeep D. Thepade, “Boosting Block Truncation Coding using Kekre’s LUV Color Space for Image Retrieval”, WASET Int. Journal of Electrical, Computer and System Engineering (IJECSE), Volume 2, Number 3, pp. 172-180, Summer 2008. Available online at http://www.waset.org/ijecse/v2/v2-3-23.pdf
  2. Dr.H.B.Kekre, Sudeep D. Thepade, “Image Retrieval using Augmented Block Truncation Coding Techniques”, ACM International Conference on Advances in Computing, Communication and Control (ICAC3-2009), pp. 384-390, 23-24 Jan 2009, Fr. Conceicao Rodrigous College of Engg., Mumbai. Is uploaded on online ACM portal.
  3. Dr.H.B.Kekre, Sudeep D. Thepade, “Rendering Futuristic Image Retrieval System”, National Conference on Enhancements in Computer, Communication and Information Technology, EC2IT-2009, 20-21 Mar 2009, K.J.Somaiya College of Engg., Vidyavihar, Mumbai-77.
  4. Dr.H.B.Kekre, Sudeep D. Thepade, “Improving ‘Color to Gray and Back’ using Kekre’s LUV Color Space”, IEEE International Advanced Computing Conference 2009 (IACC’09), Thapar University, Patiala, INDIA, 6-7 March 2009. Is uploaded and available online at IEEE Xplore.
  5. Dr.H.B.Kekre, Sudeep D. Thepade, “Color Traits Transfer to Grayscale Images”, In Proc.of IEEE First International Conference on Emerging Trends in Engg. & Technology, (ICETET-08), G.H.Raisoni COE, Nagpur, INDIA. Uploaded on online IEEE Xplore.
  6. Image Database http://wang.ist.psu.edu/docs/related/Image.orig (Last referred on 23 Sept 2008)
  7. Dr.H.B.Kekre, Sudeep D. Thepade, “Using YUV Color Space to Hoist the Performance of Block Truncation Coding for Image Retrieval”, IEEE International Advanced Computing Conference 2009 (IACC’09), Thapar University, Patiala, INDIA, 6-7 March 2009.
  8. Dr.H.B.Kekre, Sudeep D. Thepade, Archana Athawale, Anant Shah, Prathmesh Verlekar, Suraj Shirke,“Energy Compaction and Image Splitting for Image Retrieval using Kekre Transform over Row and Column Feature Vectors”, International Journal of Computer Science and Network Security (IJCSNS),Volume:10, Number 1, January 2010, (ISSN: 1738-7906) Available at www.IJCSNS.org.
  9. Dr.H.B.Kekre, Sudeep D. Thepade, “Image Retrieval using Color-Texture Features Extracted from Walshlet Pyramid”, ICGST International Journal on Graphics, Vision and Image Processing (GVIP), Volume 10, Issue I, Feb.2010, pp.9-18, www.icgst.com/gvip/Volume10/Issue1/P1150938876.html
  10. Dr.H.B.Kekre, Sudeep D. Thepade, “Color Based Image Retrieval using Amendment Block Truncation Coding with YCbCr Color Space”, International Journal on Imaging (IJI), Volume 2, Number A09, Autumn 2009, pp. 2-14. Available online at www.ceser.res.in/iji.html
  11. Dr.H.B.Kekre, Tanuja Sarode, Sudeep D. Thepade, “Color-Texture Feature based Image Retrieval using DCT applied on Kekre’s Median Codebook”, International Journal on Imaging (IJI), Volume 2, Number A09, Autumn 2009,pp. 55-65. Available online at www.ceser.res.in/iji.html
  12. Dr.H.B.Kekre, Sudeep D. Thepade, “Image Retrieval using Non-Involutional Orthogonal Kekre’s Transform”, International Journal of Multidisciplinary Research and Advances in Engineering (IJMRAE), Ascent Publication House, 2009, Volume 1, No.I, pp 189-203, 2009. Abstract available online at www.ascent-journals.com
  13. Dr.H.B.Kekre, Sudeep D. Thepade, “Improving the Performance of Image Retrieval using Partial Coefficients of Transformed Image”, Int. Journal of Info. Retrieval, Serials Publications, Vol. 2, Issue 1, 2009, pp. 72-79
  14. Dr.H.B.Kekre, Sudeep D. Thepade, Archana Athawale, Anant Shah, Prathmesh Verlekar, Suraj Shirke, “Performance Evaluation of Image Retrieval using Energy Compaction and Image Tiling over DCT Row Mean and DCT Column Mean”, Springer-International Conference on Contours of Computing Technology (Thinkquest-2010), Babasaheb Gawde Institute of Tech., Mumbai, 13-14 March 2010, The paper will be uploaded on online Springerlink.
  15. Dr.H.B.Kekre, Tanuja K. Sarode, Sudeep D. Thepade, Vaishali Suryavanshi,“Improved Texture Feature Based Image Retrieval using Kekre’s Fast Codebook Generation Algorithm”, Springer-International Conference on Contours of Computing Technology (Thinkquest-2010), Babasaheb Gawde Institute of Technology, Mumbai, 13-14 March 2010, The paper will be uploaded on online Springerlink.
  16. Dr.H.B.Kekre, Sudeep D. Thepade, “Color Traits Transfer to Grayscale Images”, IEEE Int. Conf. on Emerging Trends in Engg. and Technology, ICETET-2008, 16-18 July 2008.
  17. Hirata K., Kato T. “Query by visual example – content based image retrieval”, In Proc. of 3rd Int. Conf. on Extending Database Tech., EDBT’92, 1992, pp 56-71.
  18. Sagarmay Deb, Yanchun Zhang, “An Overview of Content Based Image Retrieval Techniques,” Technical Report, University of Southern Queensland.
  19. Rafael C. Gonzalez, Richard E. Woods, “Digital Image Processing”. Chapter 10, pg 599-607. Published by Pearson Education, Inc. 2005.
  20. LI Xue-wei, ZHANG Xin-rong, “A Perceptual Color Edge Detection Algorithm”. 2008 International Conference on Computer Science and Software Engineering.
  21. William I. Grosky, “Image Retrieval - Existing Techniques, Content-Based (CBIR) Systems” Department of Computer and Information Science, University of Michigan-Dearborn, Dearborn, MI, USA, http://encyclopedia.jrank.org/articles/pages/6763/Image-Retrieval.html#ixzz0l30drFVs, (referred on 9 March 2010)
  22. Bill Green, “Canny Edge Detection Tutorial”, 2002. http://www.pages.drexel.edu/~weg22/can_tut.html, referred on 9 March 2010
  23. John Eakins, Margaret Graham, “Content Based Image Retrieval”, Chatpter 5.6, pg 36-40, University of Northrumbia at New Castle, October 1999
Index Terms

Computer Science
Information Sciences

Keywords

CBIR Shape Feature Sobel Prewitt Robert Canny Slope Magnitude BTC

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