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Reseach Article

Query based Image Retrieval using Kekre’s, DCT and Hybrid wavelet Transform over 1st and 2nd Moment

by H. B. Kekre, Kavita Sonawane
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 32 - Number 4
Year of Publication: 2011
Authors: H. B. Kekre, Kavita Sonawane
10.5120/3891-5451

H. B. Kekre, Kavita Sonawane . Query based Image Retrieval using Kekre’s, DCT and Hybrid wavelet Transform over 1st and 2nd Moment. International Journal of Computer Applications. 32, 4 ( October 2011), 13-18. DOI=10.5120/3891-5451

@article{ 10.5120/3891-5451,
author = { H. B. Kekre, Kavita Sonawane },
title = { Query based Image Retrieval using Kekre’s, DCT and Hybrid wavelet Transform over 1st and 2nd Moment },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 32 },
number = { 4 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 13-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume32/number4/3891-5451/ },
doi = { 10.5120/3891-5451 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:18:49.991107+05:30
%A H. B. Kekre
%A Kavita Sonawane
%T Query based Image Retrieval using Kekre’s, DCT and Hybrid wavelet Transform over 1st and 2nd Moment
%J International Journal of Computer Applications
%@ 0975-8887
%V 32
%N 4
%P 13-18
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In order to improve the accuracy and efficiency of the image retrieval systems vast research is going on in the direction of Content Based Image Retrieval instead of text based search of images which has got many constraints and drawbacks in the retrieval process. In this paper, we describe the novel techniques to retrieve similar images from large volume of databases based on contents. Feature extraction strategy of the proposed system is based on transform domain. Three different techniques are used to extract the image features using three transforms namely Kekre’s transform, Discrete Cosine transform and Hybrid wavelet transform which is constructed using combination of DCT and Kekre’s Transform. Experimental results obtained using these three approaches for 100 queries using database of 1000 bmp images. Results are obtained in two levels. Level 1 gives results for R, G and B plane separately, Level 2 combines these results by taking combination of three planes based on three different criteria. Retrieval of similar images increases as we move forward from Criterion 1 to Criterion 3. It is observed that hybrid wavelet is giving fast and better retrieval results as compare to DCT and Kekre’s transform.

References
  1. Strang G. Wavelet Transforms Versus Fourier Transforms. Bull. Amer. Math. Soc. 28, 288-305, 1993.
  2. Y. N. O. C. Xudong Zhang. Wavelet domain statistical hyperspectral soil texture classification. IEEE Transactions on Geoscience and Remote Sensing, 2006; 43 (3): 615-618.
  3. Lau, H.F., Levine, M.D., 2002. Finding a small number of regions in an image using low-level features. Pattern Recognition 35 (11), 2323–2339.
  4. C. J. Liu, and H. Wechsler. A Shape- and Texture-Based Enhanced Fisher Classifier for Face Recognition. IEEE Trans. Image Processing, vol. 10, no. 4, pp. 598–608, 2001.
  5. Y. Rui And T. S. Huang. Image Retrieval: Current Techniques,Promising Directions, And Open Issues. J. Vis. Commun. Image Repress., Vol. 10, Pp.39–62, Oct. 1999.
  6. H. B. Kekre, Kavita Sonawane . Standard Deviation of Mean and Variance of Rows and Columns of Images for CBIR. WASET International Journal of Computer, Information and System Science and Engineering (IJCISSE), Volume 3, Number 1, pp.8-11, 2009.
  7. H. B. Kekre, Kavita Patil. WALSH Transform over color distribution of Rows and Columns of Images for CBIR. International Conference on Content Based Image Retrieval (ICCBIR) PES Institute of Technology, Bangalore on 16-18 July 2008.
  8. Algorithm to Generate Kekre’s Wavelet Transform from Kekre’s Transform. International Journal of Engineering Science and Technology, Vol. 2, No.5, pp.756-767 , 2010 Dr. H. B. Kekre Archana Athawale Dipali Sadavarti
  9. Guoping Qiu. Color Image Indexing Using BTC. IEEE Transactions On Image Processing, Vol. 12, No. 1, January 2003.
  10. H. B. Kekre, Kavita Sonawane. Feature Extraction in Bins Using Global and Local thresholding of Images for CBIR, International Journal of Computer, Information and System Science and Engineering. (IJCISSE, Vol. 3, No. 1,Winter 2009 pp.1- 4), ISSN: 0974-3596.
  11. CBIR Using Kekre’s Transform over Row Column Mean and Variance Vectors . Published in International Journal of Computer Science and Engineering Vol. 02, No. 05, July 2010, 1609-1614.
  12. Young Deok Chun, Sang Yong Seo, And Nam Chul Kim. Image Retrieval Using Bdip And Bvlc Moments. IEEE Transactions On Circuits And Systems For Video Technology, Vol. 13, No. 9, September 2003.
  13. H. B. Kekre, Kavita Patil. DCT over Color Distribution of Rows and Columns of Image for CBIR. Sanshodhan – A Technical Magazine of SFIT No. 4 pp. 45-51, Dec.2008
  14. H.B.kekre, Sudeep D. Thepade, Adib Parkar. Storage of Colour Information in a Greyscale Image using Haar Wavelets and Various Colour Spaces. International Journal of Computer Applications (IJCA), Volume 6, Number 7, pp.18-24, September 2010.
  15. H.B.Kekre, Sudeep D. Thepade, Juhi Jain, Naman Agrawal, IRIS Recognition using Texture Features Extracted from Walshlet Pyramid. ACM-International Conference and Workshop on Emerging Trends in Technology (ICWET 2011),Thakur College of Engg. And Tech., Mumbai, 26-27 Feb 2011.
  16. H.B.Kekre, Sudeep D. Thepade, Akshay Maloo, Face Recognition using Texture Features Extracted from Walshlet Pyramid. ACEEE International Journal on Recent Trends in Engineering and Technology (IJRTET), Volume 5, Issue 1,
  17. H.B.Kekre, Sudeep D. Thepade, Juhi Jain, Naman Agrawal. Performance Comparison of IRIS Recognition Techniques using Wavelet Pyramids of Walsh, Haar and Kekre Wavelet Transforms. International Journal of Computer Applications (IJCA), Number 2, Article 4, March.
  18. .H.B.Kekre, Sudeep D. Thepade, Akshay Maloo, Face Recognition using Texture Features Extracted from Haarlet Pyramid. International Journal of Computer Applications (IJCA), Volume 12, Number 5, December 2010, pp 41-45.
  19. C.S. Burrus, R.A. Gopinath, and H. Guo. Introduction to Wavelets and Wavelet Transform. Prentice-hall International, Inc., New Jersey, 1998.
  20. Amara Graps, An Introduction to Wavelets. IEEE Computational Science and Engineering, vol. 2, num. 2, Summer 1995, USA.
  21. S. Mallat, A Theory of Multiresolution Signal Decomposition: The Wavelet Representation. IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 11, pp. 674-693, 1989.
  22. H.B.kekre, Sudeep D. Thepade, Adib Parkar. A Comparison of Haar Wavelets and Kekre’s Wavelets for Storing Color Information in a Greyscale Image. International Journal of Computer Applications (IJCA), Volume 1, Number 11, December 2010, pp 32-38.
  23. H.B.Kekre1, Tanuja K. Sarode2, Sudeep D. Thepade. Inception of Hybrid Wavelet Transform using Two Orthogonal Transforms and It’s use for Image Compression. IJCSIS, Vol.0, No. 6, 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Row Mean Column Mean Row Variance Column Variance Kekre’s transform (KT) DCT Hybrid Wavelet transform(HWT) Criterion1 2 and 3