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Row-wise DCT Plane Sectorization in CBIR

by H.b.kekre, Dhirendra Mishra, Shikha Shah, Rohan Shah, Chirag Thakkar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 4
Year of Publication: 2012
Authors: H.b.kekre, Dhirendra Mishra, Shikha Shah, Rohan Shah, Chirag Thakkar
10.5120/6897-9247

H.b.kekre, Dhirendra Mishra, Shikha Shah, Rohan Shah, Chirag Thakkar . Row-wise DCT Plane Sectorization in CBIR. International Journal of Computer Applications. 46, 4 ( May 2012), 29-35. DOI=10.5120/6897-9247

@article{ 10.5120/6897-9247,
author = { H.b.kekre, Dhirendra Mishra, Shikha Shah, Rohan Shah, Chirag Thakkar },
title = { Row-wise DCT Plane Sectorization in CBIR },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 4 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 29-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number4/6897-9247/ },
doi = { 10.5120/6897-9247 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:38:53.657635+05:30
%A H.b.kekre
%A Dhirendra Mishra
%A Shikha Shah
%A Rohan Shah
%A Chirag Thakkar
%T Row-wise DCT Plane Sectorization in CBIR
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 4
%P 29-35
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

CBIR(Content Based Image Retrieval System) uses the visual information of an image to give the relevant images as the output. In this paper, we have implemented CBIR by the method of generating Feature Vector using Plane Sectorization. The plane of the image is sectorized in four different ways, namely: 4 sectors, 8 sectors, 12 sectors and 16 sectors. For each of these, feature vector is generated by taking the mean value of coefficients of each sector and by augmenting the zeroth and the highest column component for every plane. Taking the Sectorization is performed on DCT transformed image. The results are compared on the basis of absolute difference and Euclidean distance. The evaluation parameters used are LIRS (Length of initial relevant string of images), LSRR (Length of string to recover all relevant images), Precision and Recall. We have also introduced a new parameter LSRI (Longest string of relevant images retrieved). The database used is Wang database which comprises of 1000 images divided into 10 classes. To compare and evaluate the performance of 4, 8, 12 and 16 DCT sectors, we have considered the overall average of precision and recall. Also, in our earlier works [13], we have applied the algorithm of Feature Vector Generation using DCT plane sectorization on Column-wise transformed plane of images. Here, we are applying the same on Row-wise transformed images and have compared the results of both the methods as well.

References
  1. S. Nandgopalan, Dr. B. S. Adiga , N. Deepak, "A Universal Model for Content-Based Image Retrieval", World Academy of Science, Engineering and Technology 46 2008.
  2. MarjoMarkkula, Marius Tico, BemmuSepponen, KatjaNirkkonen and EeroSormunen, "A Test Collection for the Evaluation of Content-Based Image Retrieval Algorithms - A User and Task-Based Approach", Published in Information Retrieval 4(3/4), 275-294 (2001). *
  3. Dr. H. B. Kekre, Dhirendra Mishra, "Sectorization of Walsh and Walsh Wavelet in CBIR", International Journal on Computer Science and Engineering (IJCSE) Vol. 3 No. 6 June 2011. *
  4. Kato, T. , "Database architecture for content based image retrieval in Image Storage and Retrieval Systems" (Jambardino A andNiblack W eds),Proc SPIE 2185, pp 112-123, 1992.
  5. V. N. Gudivada and V. V. Raghavan. : Special issue on content-based image retrieval systems - guest eds. IEEE Computer. 28(9) (1995) 18-22 [gr95].
  6. 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.
  7. H. B. Kekre, Dhirendra Mishra, "DCT Sectorization for Feature Vector Generation in CBIR" International Journal of Computer Applications (0975 – 8887) Volume 9– No. 1, November 2010.
  8. H. B. Kekre, Tanujasarode, VinayaRawool, "Finger Print Identification using Discrete Sine Transform (DST)" International Conference on Advanced Computing & Communication Technology (ICACCT-2008) Asia Pacific Institute of Information Technology, Panipat India 8-9 Nov 2008H. B. Kekre, Dhirendra Mishra, "DCT Sectorization for Feature Vector Generation in CBIR" International Journal of Computer Applications (0975 – 8887) Volume 9– No. 1, November 2010.
  9. H. B. Kekre, SudeepThepade, Juhi Jain and Naman Agrawal, "IRIS Recognition using Texture Features Extracted from Haarlet Pyramid", International Journal of Computer Applications (IJCA) Vol. 11, No. 12, pp. 01-05, December, 2010.
  10. H. B. Kekre, Kamal Shah, "Application of DCT row and column feature vector for face recognition with comparison to full DCT and PCA", International Journal of Computer Applications in Engineering, Technology and Science (IJ-CA-ETS) , Vol. 1, No. 2, 435-439 April/September 2009.
  11. James Z. Wang, Jia Li, GioWiederhold, ``SIMPLIcity: Semantics-sensitive Integrated Matching for Picture LIbraries,'' IEEE Trans. on Pattern Analysis and Machine Intelligence, vol 23, no. 9, pp. 947-963, 2001.
  12. Jia Li, James Z. Wang, ``Automatic linguistic indexing of pictures by a statistical modeling approach,'' IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 9, pp. 1075-1088, 2003.
  13. H. B. Kekre, Dhirendra Mishra, Chirag Thakkar, "Column wise DCT plane sectorization in CBIR," International Journal of Computer Science and Information Technologies (IJCSIT), vol. 3 no. 1, pp. 3229-3235, 2012.
  14. H. B. Kekre, Dhirendra Mishra, "DCT-DST Plane sectorization of Row-wise Transformed color Images in CBIR", International Journal of Engineering Science and Technology Vol. 2 (12), 2010,7234-7244.
  15. Xiang-Yu Huang, Yu-Jin Zhang, Dong Hu, "Image Retrieval Based on Weighted Texture Features Using DCT Coefficients of JPEG Images" ICICS-PCM 2003, 15-18 December 2003.
  16. 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.
  17. 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.
  18. 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.
  19. Arun Ross, Anil Jain, James Reisman, "A hybrid fingerprint matcher," Int'l conference on Pattern Recognition (ICPR), Aug 2002.
Index Terms

Computer Science
Information Sciences

Keywords

Cbir lirs Lsrr lsri Euclidean Distance sum Of Absolute Difference Precision And Recall dct

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