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Content Based Image Retrieval Using Full Haar Sectorization
H.B. Kekre, Dhirendra Mishra
Pages - 1 - 12     |    Revised - 31-03-2011     |    Published - 04-04-2011
Volume - 5   Issue - 1    |    Publication Date - March / April 2011  Table of Contents
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KEYWORDS
CBIR, Haar Wavelet, Euclidian Distance, Sum of Absolute Difference, LIRS and LSRR, Precision and Recall
ABSTRACT
Content based image retrieval (CBIR) deals with retrieval of relevant images from the large image database. It works on the features of images extracted. In this paper we are using very innovative idea of sectorization of Full Haar Wavelet transformed images for extracting the features into 4, 8, 12 and 16 sectors. The paper proposes two planes to be sectored i.e. Forward plane (Even plane) and backward plane (Odd plane). Similarity measure is also very essential part of CBIR which lets one to find the closeness of the query image with the database images. We have used two similarity measures namely Euclidean distance (ED) and sum of absolute difference (AD). The overall performance of retrieval of the algorithm has been measured by average precision and recall cross over point and LIRS, LSRR. The paper compares the performance of the methods with respect to type of planes, number of sectors, types of similarity measures and values of LIRS and LSRR.
CITED BY (4)  
1 Ghousel, M. K., & Chillakuru, P. (2015). Face Image Retrieval using Contextual and HAAR Feature Extraction. Digital Image Processing, 7(5), 164-166.
2 Kekre, H. B., Mishra, D., Gandhi, V., Deshpande, S., Iyer, R., & Barot, M. (2013). Performance Comparison of DFT and Hartley Plane Sectorization with its Wavelets across RGB, LUV and YCbCr Colour Planes in CBIR. database, 10, 3.
3 Kousalya, S., & Thananmani, A. S. (2013). Image Mining-Similar Image Retrieval Using Multi-Feature Extraction and Content Based Image Retrieval Technique. Image, 2(11).
4 Sulayman, E. N., Ammar, M., & Hossein, J. Analysis study of Content Based Medical Image Retrieval Systems.
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4 John Berry and David A. Stoney “The history and development of fingerprinting,” in Advances in Fingerprint Technology, Henry C. Lee and R. E. Gaensslen, Eds., pp. 1-40. CRC Press Florida, 2nd edition, 2001.
5 H.B.Kekre, Archana Athawale and Dipali sadavarti, “Algorithm to generate Kekre’s Wavelet transform from Kekre’s Transform”, International Journal of Engineering, Science and Technology, Vol.2No.5,2010 pp.756-767.
6 H. B. Kekre, Dhirendra Mishra, “Digital Image Search & Retrieval using FFT Sectors” published in proceedings of National/Asia pacific conference on Information communication and technology(NCICT 10) 5TH & 6TH March 2010.SVKM’S NMIMS MUMBAI
7 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.
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
9 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
10 H.B.Kekre, Dhirendra Mishra, “Four Walsh transform sectors feature vectors for image retrieval from image databases”, published in international journal of computer science and information technologies (IJCSIT) Vol. 1 (2) 2010, 33-37 ISSN 0975-9646 available online at http://www.ijcsit.com/docs/vol1issue2/ijcsit2010010201.pdf
11 H.B.Kekre, Dhirendra Mishra, “Performance comparison of four, eight and twelve Walsh transform sectors feature vectors for image retrieval from image databases”, published in international journal of Engineering, science and technology(IJEST) Vol.2(5) 2010, 1370- 1374 ISSN 0975-5462 available online at http://www.ijest.info/docs/IJEST10-02-05-62.pdf
12 H.B.Kekre, Dhirendra Mishra, “ density distribution in Walsh Transform sectors ass feature vectors for image retrieval”, published in international journal of compute applications (IJCA) Vol.4(6) 2010, 30-36 ISSN 0975-8887 available online at http://www.ijcaonline.org/archives/volume4/number6/829-1072
13 H.B.Kekre, Dhirendra Mishra, “Performance comparison of density distribution and sector mean in Walsh transform sectors as feature vectors for image retrieval”, published in international journal of Image Processing (IJIP) Vol.4(3) 2010, ISSN http://www.cscjournals.org/csc/manuscript/Journals/IJIP/Volume4/Issue3/IJIP-193.pdf
14 H.B.Kekre, Dhirendra Mishra, “Density distribution and sector mean with zero-sal and highest-cal components in Walsh transform sectors as feature vectors for image retrieval”, published in international journal of Computer science and information security (IJCSIS) Vol.8(4) 2010, ISSN 1947-5500 available online http://sites.google.com/site/ijcsis/vol-8-no- 4-jul-2010
15 Arun Ross, Anil Jain, James Reisman, “A hybrid fingerprint matcher,” Int’l conference on Pattern Recognition (ICPR), Aug 2002.
16 H.B.Kekre, Dhirendra Mishra, “DCT sectorization for feature vector generation in CBIR”, International journal of computer application (IJCA),Vol.9, No.1,Nov.2010,ISSN:1947-5500 http://ijcaonline.org/archives/volume9/number1/1350-1820
17 A. M. Bazen, G. T. B.Verwaaijen, S. H. Gerez, L. P. J. Veelenturf, and B. J. van der Zwaag, “A correlation-based fingerprint verification system,” Proceedings of the ProRISC2000 Workshop on Circuits, Systems and Signal Processing, Veldhoven, Netherlands, Nov 2000.
18 H.B.Kekre, Tanuja K. Sarode, Sudeep D. Thepade, “Image Retrieval using Color-Texture Features from DST 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
19 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.
20 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. Available online at ACM portal.
21 H.B.Kekre, Tanuja K. Sarode, Sudeep D. Thepade, “DST 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.
22 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.
23 J. L. Walsh, “A closed set of orthogonal functions” American Journal of Mathematics, Vol. 45, pp.5-24,year 1923.
24 H.B.Kekre, Dhirendra Mishra, “DST Sectorization for feature vector generation”, Universal journal of computer science and engineering technology (Unicse),Vol.1, No.1Oct 2010 available at http://www.unicse.oeg/index.php?option=comcontent and view=article&id=54&itemid=27
Professor H.B. Kekre
- India
Associate Professor Dhirendra Mishra
SVKM's NMIMS University - India
dhirendra.mishra@gmail.com