CFP last date
20 December 2024
Reseach Article

Performance Comparison of DFT and Hartley Plane Sectorization with its Wavelets across RGB, LUV and YCbCr Colour Planes in CBIR

by H. B. Kekre, Dhirendra Mishra, Vaibhav Gandhi, Sahil Deshpande, Rishabh Iyer, Mitali Barot
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 22
Year of Publication: 2013
Authors: H. B. Kekre, Dhirendra Mishra, Vaibhav Gandhi, Sahil Deshpande, Rishabh Iyer, Mitali Barot
10.5120/12104-8236

H. B. Kekre, Dhirendra Mishra, Vaibhav Gandhi, Sahil Deshpande, Rishabh Iyer, Mitali Barot . Performance Comparison of DFT and Hartley Plane Sectorization with its Wavelets across RGB, LUV and YCbCr Colour Planes in CBIR. International Journal of Computer Applications. 69, 22 ( May 2013), 22-27. DOI=10.5120/12104-8236

@article{ 10.5120/12104-8236,
author = { H. B. Kekre, Dhirendra Mishra, Vaibhav Gandhi, Sahil Deshpande, Rishabh Iyer, Mitali Barot },
title = { Performance Comparison of DFT and Hartley Plane Sectorization with its Wavelets across RGB, LUV and YCbCr Colour Planes in CBIR },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 22 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 22-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number22/12104-8236/ },
doi = { 10.5120/12104-8236 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:31:01.080922+05:30
%A H. B. Kekre
%A Dhirendra Mishra
%A Vaibhav Gandhi
%A Sahil Deshpande
%A Rishabh Iyer
%A Mitali Barot
%T Performance Comparison of DFT and Hartley Plane Sectorization with its Wavelets across RGB, LUV and YCbCr Colour Planes in CBIR
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 22
%P 22-27
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper uses the sectorization method on DFT and Hartley transforms along with sectorization of the DFT and Hartley wavelets over 3 different color spaces namely RGB, LUV and YCbCr. A comparison and evaluation of these methods is carried out and the results are drawn based on the retrieval rates of each class of images from the database. Three different similarity measures such as Precision, Recall, Precision- Recall Crossover are used for the matching the feature vectors of the query image with that of the images in the database. Euclidean distance and sum of Absolute difference are used for measuring the distances between the images. The average precision-recall cross-over point plot (PRCP) and the overall average PRCP performances have been compared for all the methods.

References
  1. Arnold W. M. Smeulders, MarceWorring, Simone Santini, Amarnath Gupta, "Content Based Image Retrieval at the End of Early years," IEEE Transactions on pattern analysis and machine intelligence, vol. 22, no. 12, December 2000.
  2. John Eakins ,Margaret Graham, University of Northumbria at Newcastle "Content-based Image Retrieval",JISC technology applications, October 1999.
  3. N. Krishnan, M. SheerinBanu, C. CallinsChristiyana, "Content Based Image Retrieval using Dominant Color Identification Based on Foreground Objects", International Conference on Computational Intelligence and Multimedia Applications 2007.
  4. 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, No. 12, Dec. 2010, pp. 7234-7244, ISSN No. 0975-5462.
  5. Radomir S. Stankovi and Bogdan J. Falkowski, " The Haar Wavelet Transform : Its status and Achievements," Computer and Electrical Engineering, Volume 29 , Issue 1, January 2003, Pages 25-44.
  6. H. B. Kekre, Dhirendra Mishra, "Image Retrieval using DST and DST Wavelet Sectorization", published in international journal of advanced computer applications (IJACA) Vol. 2, No. 6, 2011.
  7. Faisal Alturki , Russell Mersereau, " Secure Blind Image Staganographic Technique using Discrete Fourier Transformation", Image Processing, 2001, Proceedings 2001 International Conference Volume : 2.
  8. H. B. Kekre, Dhirendra Mishra, "Content Based Image Retrieval Using Full HaarSectorization",International Journal of Image Processing (IJIP), Volume (5) : Issue (1) : 2011.
  9. Dr. H. B. Kekre,Dhirendra Mishra, Anirudh K. ," A Survey of CBIR Techniques and Semantics", International Journal of Engineering Science and Technology Year: 2011 Vol: 3 Issue: 5 pp: 4510-4517
  10. Dr. Kekre. H. B, Thepade. S. D,,Banura. V. K. , (2010),Augmentation of Colour Averaging BasedImage Retrieval Techniques using Even Part of Images and Amalgamation of featureAbstractvectors, published in International Journal of Engineering Science and Technology, Vol 2. (10), page no 5238-5246
  11. H. B. Kekre, Sudeep D. Thepade,AkshayMaloo, "CBIR Feature Vector Dimension Reduction with Eigenvectors of Covariance Matrix using Row, Column and Diagonal Mean Sequences", International Journal of Computer Applications (0975 – 8887) Volume 3 – No. 12, July 2010.
  12. Dr. H. B. Kekre, Sudeep D. Thepade, ArchanaAthawale, Anant Shah, PrathameshVerlekar and SurajShirke,"KekreTransform over Row Mean, Column Mean and Both Using Image Tiling for Image Retrieval", International Journal of Computer and Electrical Engineering, Vol. 2, No. 6, December, 2010.
  13. R. P. Millane, "Analytic Properties of the Hartley Transform and their Implications",0018-9219/94 IEEE 94, Invited Paper http://www. elec. canterbury. ac. nz/research/imaging/documents/millanepub/hartley. pdf
  14. H. B. Kekre,Dhirendra Mishra , StutiNarula and Vidhi Shah, " Color feature extraction for CBIR", International journal of science and technology (IJEST), Vol. 3,No. 12,December 2011, http://www. ijest. info/docs/IJEST11-03-12-156. pdf
  15. H. B. Kekre, Dhirendra Mishra &ChiragThakkar, " Column wise DCT plane sectorization in CBIR", International journal of computer science and information technology (IJCSIT), Vol. 3, No. 1, 2012,
  16. H. B. Kekre, Dhirendra Mishra,Rohan shah, Shikha shah &ChiragThakkar, " CBIR using Combined Feature Vectors of Column-wise and Row-wise DCT Transformed Plane Sectorization",International journal of computer application (IJCA), USA, Vol. 43, No. 22, April 2012 pp-35-41. http://www. ijcaonline. org/archives/volume43/number22/6405-8874
  17. H. B. Kekre and Dhirendra Mishra, "Colorization of gray scale digital image using Kekre's LUV Color space", International conference on managing next generation of computer applications , 5th and 6th December,2008; KarunyaUniversity,Tamilnadu,INDIA
Index Terms

Computer Science
Information Sciences

Keywords

CBIR Wavelet DFT Hartley RGB LUV YCbCr Euclidean Distance Absolute Difference Precision Recall Cross Over Point