A Feature Vector for CBIR Based on DLEP and Gabor Features

A Feature Vector for CBIR Based on DLEP and Gabor Features

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-12 Number-8
Year of Publication : 2014
Authors : L. Koteswara Rao , Dr. D.Venkata Rao
  10.14445/22315381/IJETT-V12P277

Citation 

L. Koteswara Rao , Dr. D.Venkata Rao. "A Feature Vector for CBIR Based on DLEP and Gabor Features", International Journal of Engineering Trends and Technology (IJETT), V12(8),401-405 June 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

The properties of texture present in an image can be derived in different ways. Local Binary Pattern(LBP) operator is one among them in which a centre pixel is compared with the neighboring pixels to obtain a feature vector. However, the directions are not obtained 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 feature vector which is a combination of DLEP and Gabor filter to derive the feature which can be used in the process of Image 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] 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
[5] S Arivazhagan and L Ganesan, “Texture classification using wavelet transform(1513-1521) vol.24,issue 9-10,June 2003
[6] 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
[7] S Arivazhagan and L Ganesan, ‘Texture classification using Gabor wavelets based rotation invariant features ,vol 27,ISSUE 16, December 2006 (1976-82)
[8] 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
[9] 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
[10] Raghu ,P,Yegnanarayana,”segmentation of Gabor filtered textures using deterministic relaxation, IEEE Trans. on Image Processing 5(12),1625-1636, 1996
[11] 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
[12] Subrahmanyam Murala, R.P. Maheswari, R.Balasubramanian Directional local extrema pattern: a new descriptor for content based image retrieval(2012)
[13] Koteswara rao,Venkatrao,Rohini ,”Improved DLEP as a feature vector for CBIR”,IEEE conference 2013
[14] Jabid,,Kabir, Chae Kyung H, “Local Directional Pattern for face recognition” IEEE conference 2010
[15] http://wang.ist.psu.edu/docs/related/

References
Gabor filters, LBP, image retrieval, precision, recall