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Combination of CDLEP and Gabor Features for CBIR

  • L Koteswara Rao
  • D Venkata Rao
  • Pinapatruni Rohini
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 380)

Abstract

The retrieval of an image can be done by extracting the local texture information. The procedure involves the calculation of patterns of texture present in an image. Local binary patterns became the first of its kind in which the gray value of a pixel in the middle position is compared with all of its surrounding pixels. The patterns of the texture obtained are converted into a histogram and the same becomes a feature vector in the process of comparison and subsequent retrieval process. One among several modifications to LBP was directional extrema patterns, which employs a technique of deriving the data by comparison of the pixel at the middle with two immediate pixels in four possible directions. To increase the performance further, an integrated approach is proposed for a CBIR system in which CDLEP is integrated with Gabor filters. The precision and recall values are found to decide the performance of the proposed framework.

Keywords

Color Gabor filters LBP DLEP Histogram Image retrieval Precision Recall 

References

  1. 1.
    Datta, R., Joshi, D., Li, J., Wang, J.: Image retrieval-ideas, influences and trends of the new age. ACM Comput. Surv. 40(2), 1–60 (2008)CrossRefGoogle Scholar
  2. 2.
    smeulders, A.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content based image retrieval at the end of early years. IEEE Trans. PAMI 22(12), 1349–1380 (2000)CrossRefGoogle Scholar
  3. 3.
    Rui, Y., Huang, T.S., Chang, S.F.: Image retrieval: current techniques, promising directions & open issues. J. Vis. Commun. Image Represent. 10(4), 39–62 (1999)CrossRefGoogle Scholar
  4. 4.
    Haralick, R.M., Shanmugam, K., Dinstein, I.: Texture features for image classification. IEEE Trans. Syst. Man Cybern. 8, 610–621 (1973)CrossRefGoogle Scholar
  5. 5.
    Arivazhagan, S., Ganesan, L.: Texture classification using wavelet transform. 24(9)10, 1513–1521 June 2003Google Scholar
  6. 6.
    Kim, Soo chang, Kang, Tae Jin: Texture classification and segmentation using wavelet packet frame and Gaussian mixture model 40(4), 1207–1221 (2007). elsevierMATHGoogle Scholar
  7. 7.
    Arivazhagan, S., Ganesan, L.: Texture classification using Gabor wavelets based rotation invariant features 27(16), 1976–1982 (2006)Google Scholar
  8. 8.
    Yegnanarayana, Raghu P.: Segmentation of Gabor filtered textures using deterministic relaxation. IEEE Trans. Image Process. 5(12), 1625–1636 (1996)MathSciNetCrossRefGoogle Scholar
  9. 9.
    Ojala, T., Pietikainen, M., Harwood, D.: A comparative study of texture measures with classification based on feature distributions. J Pattern Recogn. 29(1), 51–59 (1996)CrossRefGoogle Scholar
  10. 10.
    Hadid, A., Ahonen, T., Pietikainen, M, Face analysis using local binary patterns. In: handbook of texture analysis, Imperial college press London, pp. 347–373 (2008)Google Scholar
  11. 11.
    Zhang, B., Gao, Y., Zhao, S., Liu, J.: Local derivative pattern versus local binary pattern: face recognition with higher-order local pattern descriptor. IEEE Trans. Image Process. 19(2), 533–544 (2010)MathSciNetCrossRefGoogle Scholar
  12. 12.
    Murala, S., Maheswari, R.P., Balasubramanian, R.: Directional local extrema pattern: a new descriptor for content based image retrieval (2012)Google Scholar
  13. 13.
    Kabir, J., Chae Kyung, H.: Local Directional Pattern for face recognition. IEEE Conference (2010)Google Scholar
  14. 14.
    Rao, L.K., Venkatrao, D.: A feature vector for cbir based on dlep and gabor feature IJETT 12 (2014)Google Scholar
  15. 15.
    Rao, L.K., Venkatrao, D., Rohini, P.: Improved DLEP as a feature vector for CBIR. IEEE Conference (2013)Google Scholar
  16. 16.

Copyright information

© Springer India 2016

Authors and Affiliations

  • L Koteswara Rao
    • 1
  • D Venkata Rao
    • 2
  • Pinapatruni Rohini
    • 3
  1. 1.Research Scholar of JNTUHAsst.Prof. at FST, IFHEHyderabadIndia
  2. 2.Narasarao Pet Institute of TechnologyNarasararaopet, GunturIndia
  3. 3.Department of CSE, Faculty of Science and TechnologyIFHEHyderabadIndia

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