CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Combination of Color and Local Patterns as a Feature Vector for CBIR

by L. Koteswara Rao, D. Venkata Rao
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 99 - Number 1
Year of Publication: 2014
Authors: L. Koteswara Rao, D. Venkata Rao
10.5120/17334-6964

L. Koteswara Rao, D. Venkata Rao . Combination of Color and Local Patterns as a Feature Vector for CBIR. International Journal of Computer Applications. 99, 1 ( August 2014), 1-5. DOI=10.5120/17334-6964

@article{ 10.5120/17334-6964,
author = { L. Koteswara Rao, D. Venkata Rao },
title = { Combination of Color and Local Patterns as a Feature Vector for CBIR },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 99 },
number = { 1 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume99/number1/17334-6964/ },
doi = { 10.5120/17334-6964 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:27:33.815951+05:30
%A L. Koteswara Rao
%A D. Venkata Rao
%T Combination of Color and Local Patterns as a Feature Vector for CBIR
%J International Journal of Computer Applications
%@ 0975-8887
%V 99
%N 1
%P 1-5
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The local properties of an image can be acquired in many ways. Local Binary Patterns(LBP) operator is one among them in which a centre pixel is referenced with the neighboring pixels to obtain a feature vector. However, the directions are not considered in this method. The Directional Local Extrema Patterns(DLEP) are used to encode the relationship between the reference pixel and its neighbors by computing the edge information in four directions . In this paper, we propose a new approach based on the combination of DLEP and color to derive the properties those can be used in the process of retrieval.

References
  1. R. Datta, D Joshi J. Li and J. Wang,' Image Retrieval- Ideas, influences and trends of the new age', ACM Computing surveys,vol. 40,no. 2,pp 1-60 2008
  2. AM smeulders,M Worring,S Santini,A Gupta&R Jain,"content based Image retrieval at the end of early years"IEEE Transactions aon PAMI 22(12),pp 1349-1380,2000
  3. Y Rui,T S Huang&S F Chang," Image retrieval: current techniques, promising directions& open issues. Journal of visual communications& Image representation 10(4):pp 39-62,1999.
  4. Digital Image Processing Gonzalez& Woods third edition
  5. M J Swain,D H Ballard, Color Indexing, International Journal of computer vision (1991) 11-32
  6. R M Haralick,K Shanmugam&i dinstein," texture features for image classification ",IEEE transactions on system, man and cybernetics vol,smc-8,pp 610-621, 1973
  7. S Arivazhagan and L Ganesan, "Texture classification using wavelet transform(1513-1521) vol. 24,issue 9-10,June 2003
  8. Soo chang Kim,Tae Jin Kang ,"Texture classification and segmentation using wavelet packet frame and Gaussian mixture model vol 40,issue 4,april 2007, 1207-1221 elsevier
  9. S Arivazhagan and L Ganesan, 'Texture classification using Gabor wavelets based rotation invariant features ,vol 27,ISSUE 16, December 2006 (1976-82)
  10. Do MN,Vettrli M(2002) Wavelet-based texture retrieval using generalized Gaussian density and Kullback-leibler distance, IEEE Transactions on Image processing. vol 11(2).
  11. Ojala T,Pietikainen M,Harwood D (1996) A comparative study of texture measures with classification based on feature distributions. J Pattern Recognition 29(1):51-59
  12. A Hadid,T Ahonen and M Pietikainen,"Face analysis using local binary patterns," in handbook of Texture analysis, Imperial college press London 2008,pp 347-373
  13. Zhang B, Gao Y,Zhao S, Liu J (2010) Local derivative pattern versus local binary pattern: Face Recognition with higher-order local pattern descriptor, IEEE Trans Image Process 19(2):533-544
  14. Subrahmanyam Murala, R. P. Maheswari, R. Balasubramanian Directional local extrema pattern: a new descriptor for content based image retrieval(2012)
  15. Jabid,,Kabir, Chae Kyung H, "Local Directional Pattern for face recognition" IEEE conference 2010
Index Terms

Computer Science
Information Sciences

Keywords

Combination Color

Powered by PhDFocusTM