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| Performance Comparison of Density Distribution and Sector mean of sal and cal functions in Walsh Transform Sectors as Feature Vectors for Image Retrieval
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Full
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Source |
International Journal of Image Processing (IJIP) |
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Table of Contents |
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Complete Issue PDF(20.36MB) |
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Volume: 4 Issue: 3 |
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Pages: 192-286 |
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Publication
Date: July 2010 |
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ISSN
(Online): 1985-2304 |
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Pages |
205 - 217 |
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Author(s) |
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Published
Date |
10-08-2010 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: CBIR, Precision and Recall, Eucledian Distance, Kekre's Algorithm, Walsh Transform |
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| In this paper we have proposed two different approaches for feature vector generation with absolute difference as similarity measuring parameter. Sal-cal vectors density distribution and Individual sector mean of complex Walsh transform. The cross over point performance of overall average of precision and recall for both approaches on all applicable sectors sizes are compared. The complex Walsh transform is conceived by multiplying sal components by j= ã-1. The density distribution of real (cal) and imaginary (sal) values and individual mean of Walsh sectors in all three color planes are considered to design the feature vector. The algorithm proposed here is worked over database of 270 images spread over 11 different classes. Overall Average precision and recall is calculated for the performance evaluation and comparison of 4, 8, 12 & 16 Walsh sectors. The overall average of cross over points of precision and recall is of all methods for both approaches are compared. The use of Absolute difference as similarity measure always gives lesser computational complexity and Individual sector mean approach of feature vector has the best retrieval. |
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| 1 |
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H.B.Kekre, Dhirendra Mishra, “Content Based Image Retrieval using Weighted Hamming Distance Image hash Value” published in the proceedings of international conference on contours of computing technology pp. 305-309 (Thinkquest2010) 13th & 14th March 2010.
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8. H.B.Kekre, Dhirendra Mishra,“Digital Image Search & Retrieval using FFT Sectors of Color Images” published in International Journal of Computer Science and Engineering (IJCSE) Vol. 02,No.02,2010,pp.368-372 ISSN 0975-3397 available online at http://www.enggjournals.com/ijcse/doc/IJCSE10-02- 02-46.pdf
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H.B.Kekre, Dhirendra Mishra, “CBIR using upper six FFT Sectors of Color Images for feature vector generation” published in International Journal of Engineering and Technology(IJET) Vol. 02, No. 02, 2010, 49-54 ISSN 0975-4024 available online at http://www.enggjournals.com/ijet/doc/IJET10-02- 02-06.pdf
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Arun Ross, Anil Jain, James Reisman, “A hybrid fingerprint matcher,” Int’l conference on Pattern Recognition (ICPR), Aug 2002.
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| 11 |
H.B.Kekre, Tanuja K. Sarode, Sudeep D. Thepade, “Image Retrieval using Color-Texture Features from DCT on VQ Codevectors obtained by Kekre’s Fast Codebook Generation”, ICGST International Journal on Graphics, Vision and Image Processing (GVIP), Available online at http://www.icgst.com/gvip
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| 12 |
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.
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H.B.Kekre, Tanuja K. Sarode, Sudeep D. Thepade, “DCT Applied to Column mean and Row Mean Vectors of Image for Fingerprint Identification”, International Conference on Computer Networks and Security, ICCNS-2008, 27-28 Sept 2008, Vishwakarma Institute of Technology, Pune.
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| 14 |
H.B.Kekre, Sudeep Thepade, Archana Athawale, Anant Shah, Prathmesh Velekar, Suraj Shirke, “Walsh transform over row mean column mean using image fragmentation and energy compaction for image retrieval”, International journal of computer science and engineering (IJCSE),Vol.2.No.1,S2010,47-54.
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| 15 |
H.B.Kekre, Vinayak Bharadi, “Walsh Coefficients of the Horizontal & Vertical Pixel Distribution of Signature Template”, In Proc. of Int. Conference ICIP-07, Bangalore University, Bangalore. 10-12 Aug 2007
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| 16 |
H.B.Kekre, Kavita sonawane, “DCT Over Color Distribution of Rows and Columns of Images for CBIR” SANSHODHAN, SFIT Technical Magazine No 5, pp. 11-17, March2010.
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| 17 |
H.B.Kekre, Tanuja Sarode, “Two Level Vector Quantization Method for Codebook Generation using Kekre’s Proportionate Error Algorithm” International Journal of Image Processing, Vol.4, Issue 1, pp.1-10, January-February 2010 .
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| 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”, International Journal of Image Processing, Vol.4, Issue 2, pp.142-155, March-April 2010.
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| 19 |
Hiremath P.S, Jagadeesh Pujari, “Content Based Image Retrieval using Color Boosted Salient Points and Shape features of an image”, International Journal of Image Processing (IJIP) Vol.2, Issue 1, pp 10-17, January-February 2008.
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| H. B. Kekre : Colleagues
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| Dhirendra Mishra : Colleagues
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