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Article:Edge Texture Based CBIR using Row Mean of Transformed Column Gradient Image

by Dr.H.B.Kekre, Sudeep Thepade, Priyadarshini Mukherjee, Miti Kakaiya, Shobhit Wadhwa, Satyajit Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 10
Year of Publication: 2010
Authors: Dr.H.B.Kekre, Sudeep Thepade, Priyadarshini Mukherjee, Miti Kakaiya, Shobhit Wadhwa, Satyajit Singh
10.5120/1286-1720

Dr.H.B.Kekre, Sudeep Thepade, Priyadarshini Mukherjee, Miti Kakaiya, Shobhit Wadhwa, Satyajit Singh . Article:Edge Texture Based CBIR using Row Mean of Transformed Column Gradient Image. International Journal of Computer Applications. 7, 10 ( October 2010), 12-17. DOI=10.5120/1286-1720

@article{ 10.5120/1286-1720,
author = { Dr.H.B.Kekre, Sudeep Thepade, Priyadarshini Mukherjee, Miti Kakaiya, Shobhit Wadhwa, Satyajit Singh },
title = { Article:Edge Texture Based CBIR using Row Mean of Transformed Column Gradient Image },
journal = { International Journal of Computer Applications },
issue_date = { October 2010 },
volume = { 7 },
number = { 10 },
month = { October },
year = { 2010 },
issn = { 0975-8887 },
pages = { 12-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume7/number10/1286-1720/ },
doi = { 10.5120/1286-1720 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:56:22.739658+05:30
%A Dr.H.B.Kekre
%A Sudeep Thepade
%A Priyadarshini Mukherjee
%A Miti Kakaiya
%A Shobhit Wadhwa
%A Satyajit Singh
%T Article:Edge Texture Based CBIR using Row Mean of Transformed Column Gradient Image
%J International Journal of Computer Applications
%@ 0975-8887
%V 7
%N 10
%P 12-17
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The paper discusses novel image retrieval methods based on edge texture of images extracted using gradient operators and slope magnitude technique with image transforms. Twenty eight variations of proposed image retrieval techniques using seven image transforms and four gradient operators like Roberts, Sobel, Prewitt and Canny are considered here. 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. The various ‘Mask-Shape-Transform’ CBIR techniques [1] are compared with each other and each of the proposed ‘Mask-Shape-Transform’ CBIR methods. The ‘Mask-Shape-Transform’ is found to be better than the ‘Mask-Shape’ Technique. In all Roberts-Kekre-Transform based CBIR gives best performance followed by Sobel-Slant-Transform and Sobel-Hartley-Transform.

References
  1. Dr.H.B.Kekre, Sudeep D. Thepade, Priyadarshini Mukherjee, Shobhit Wadhwa, Miti Kakaiya, Satyajit Singh, “Image Retrieval with Shape Features Extracted using Gradient Operators and Slope Magnitude Technique with BTC”, International Journal of Computer Applications, September 2010 issue.
  2. 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 Engineering, Vidyavihar, Mumbai-77.
  3. Image database - http://wang.ist.psu.edu/docs/related/Image.orig (Last referred on 23 Sept 2008)
  4. 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.
  5. 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, Available online www.icgst.com/gvip/Volume10/Issue1/P1150938876.html
  6. 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
  7. 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
  8. Dr.H.B.Kekre, Sudeep D. Thepade, “Improving the Performance of Image Retrieval using Partial Coefficients of Transformed Image”, International Journal of Information Retrieval, Serials Publications, Volume 2, Issue 1, 2009, pp. 72-79
  9. 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 Technology, Mumbai, 13-14 March 2010, The paper will be uploaded on online Springerlink.
  10. 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.
  11. Hirata K. and Kato T. “Query by visual example – content-based image retrieval”, In Proc. Of Third International Conference on Extending Database Technology, EDBT’92, 1992, pp 56-71.
  12. Sagarmay Deb, Yanchun Zhang, “An Overview of Content Based Image Retrieval Techniques,” Technical Report, University of Southern Queensland.
  13. Rafael C. Gonzalez, Richard E. Woods, “Digital Image Processing”. Chapter 10, pg 599-607. Published by Pearson Education, Inc. 2005.
  14. 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
  15. Bill Green, “Canny Edge Detection Tutorial”, 2002. http://www.pages.drexel.edu/~weg22/can_tut.html, referred on 9 March 2010
  16. John Eakins, Margaret Graham, “Content Based Image Retrieval”, Chatpter 5.6, pg 36-40, University of Northrumbia at New Castle, October 1999
  17. Dr.H.B.Kekre, Sudeep D. Thepade, Akshay Maloo, “Performance Comparison of Image Retrieval Techniques using Wavelet Pyramids of Walsh, Haar and Kekre Transforms”, International Journal of Computer Applications (IJCA) Volume 4, Number 10, August 2010 Edition, pp 1-8, http://www.ijcaonline.org/archives/volume4/number10/866-1216
  18. Dr.H.B.Kekre, Sudeep D. Thepade, Akshay Maloo, “Performance Comparison of Image Retrieval Using Fractional Coefficients of Transformed Image Using DCT, Walsh, Haar and Kekre’s Transform”, CSC International Journal of Image Processing (IJIP), Volume 4, Issue 2, pp 142-157, Computer Science Journals, CSC Press, www.cscjournals.org
  19. Dr.H.B.Kekre, Sudeep D. Thepade, Varun K. Banura, “Amelioration of Colour Averaging Based Image Retrieval Techniques using Even and Odd parts of Images”, International Journal of Engineering Science and Technology (IJEST), Volume 2, Issue 9, Sept. 2010. pp. (ISSN: 0975-5462) Available online at http://www.ijest.info.
  20. Dr.H.B.Kekre, Sudeep D. Thepade, “Boosting Block Truncation Coding using Kekre’s LUV Color Space for Image Retrieval”, WASET International Journal of Electrical, Computer and System Engineering (IJECSE), Volume 2, No.3, Summer 2008. Available online at www.waset.org/ijecse/v2/v2-3-23.pdf
Index Terms

Computer Science
Information Sciences

Keywords

CBIR Edge Texture Slope Magnitude Transforms Cosine Sine Haar Hartley Kekre Slant Walsh

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