A novel idea of sectorization has been applied on Full Discrete sine transformed (DST) images to extract the unique feature of images. The method of sectorization has been experimented over two newly generated planes i.e. Even and Odd planes out of full DST transformed images. These two planes sectored into 4,8,12 and 16 sectors in order to extract the efficient feature vectors. The process is applied in content based image retrieval to check it’s applicability. As CBIR needs the similarity measuring parameters for the similarity measures of all images with each other; we have used sum of absolute difference and the Euclidian distance as two parameters. The retrieval result of all sectors with respect to these two similarity measures are checked by means of LIRS,LSRR and average precision-recall cross over point plots. The proposed method works on the database consisting of 1055 images spread over 12 different classes.

1. Dr. Qi, “semantic based CBIR(content based image retrieval)”,http://cs.usu.edu/htm/REU-Current-Projects.
2. Kato, T., “Database architecture for content based image retrieval in Image Storage and Retrieval Systems” (Jambardino A and Niblack W eds),Proc SPIE 2185, pp 112-123, 1992.
3. Ritendra Datta,Dhiraj Joshi,Jia Li and James Z. Wang, “ Image retrieval:Idea,influences and trends of the new age”,ACM Computing survey,Vol 40,No.2,Article 5,April 2008.
4. Ch.srinivasa rao,S. srinivas kumar,B.N.Chaterjii, “content based image retrieval using contourlet transform”, ICGST-GVIP Journal, Vol.7 No. 3, Nov2007.
5. 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.
6. Arun Ross, Anil Jain, James Reisman, “A hybrid fingerprint matcher,” Int’l conference on Pattern Recognition (ICPR), Aug 2002.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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
12. 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
13. 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
14. 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
15. 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
16. H.B.Kekre, Dhirendra Mishra, “ density distribution in walsh transfom 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
17. 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 1985-2304
18. 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 scienece 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
19. 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.
20. J. L. Walsh, “A closed set of orthogonal functions” American Journal of Mathematics, Vol. 45, pp.5-24,year 1923.
21. 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
22. 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
23. 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.
24. 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),

CBIR DST Euclidian Distance Sum of Absolute Difference Precision and Recall LIRS LSRR