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Article:Image Retrieval with Shape Features Extracted using Morphological Operators with BTC

by Sudeep Thepade, Priyadarshini Mukherjee, Miti Kakaiya, Shobhit Wadhwa, Satyajit Singh
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 3
Year of Publication: 2010
Authors: Sudeep Thepade, Priyadarshini Mukherjee, Miti Kakaiya, Shobhit Wadhwa, Satyajit Singh
10.5120/1662-2238

Sudeep Thepade, Priyadarshini Mukherjee, Miti Kakaiya, Shobhit Wadhwa, Satyajit Singh . Article:Image Retrieval with Shape Features Extracted using Morphological Operators with BTC. International Journal of Computer Applications. 12, 3 ( December 2010), 1-5. DOI=10.5120/1662-2238

@article{ 10.5120/1662-2238,
author = { Sudeep Thepade, Priyadarshini Mukherjee, Miti Kakaiya, Shobhit Wadhwa, Satyajit Singh },
title = { Article:Image Retrieval with Shape Features Extracted using Morphological Operators with BTC },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 12 },
number = { 3 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume12/number3/1662-2238/ },
doi = { 10.5120/1662-2238 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:00:42.023716+05:30
%A Sudeep Thepade
%A Priyadarshini Mukherjee
%A Miti Kakaiya
%A Shobhit Wadhwa
%A Satyajit Singh
%T Article:Image Retrieval with Shape Features Extracted using Morphological Operators with BTC
%J International Journal of Computer Applications
%@ 0975-8887
%V 12
%N 3
%P 1-5
%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 morphological operators. The existing CBIR techniques are based on the feature vectors extracted from morphological edge extraction techniques such as simple morphological edge extraction technique, Top-Hat transform and Bottom-Hat transform. The proposed CBIR techniques are using the morphological edge extraction techniques with block truncation coding (BTC). The proposed 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 experimental results show that use of BTC over morphological shape images for feature extraction improves the performance of image retrieval with reduced computational complexity for query execution. In all BTC with simple morphological edge extraction based CBIR method (SMBTC) gives best performance.

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. . Rafael C. Gonzalez, Richard E. Woods, “Digital Image Processing”. Chapter 10, pg 599-607. Published by Pearson Education, Inc. 2005.
  13. 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
  14. Bill Green, “Canny Edge Detection Tutorial”, 2002. http://www.pages.drexel.edu/~weg22/can_tut.html, referred on 9 March 2010
  15. John Eakins, Margaret Graham, “Content Based Image Retrieval”, Chatpter 5.6, pg 36-40, University of Northrumbia at New Castle, October 1999
  16. 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
  17. 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
  18. 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), Vol. 2, Issue 9, Sept. 2010. pp. (ISSN: 0975-5462) Available online at http://www.ijest.info.
  19. 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), Vol. 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 Top-Hat Bottom-Hat BTC Morphology Edge extraction

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