Abstract -- This paper is an innovative proposal for developing a new image signature based on Refined Histogram (RH) Model for supervised texture classification. It is an efficient and effective RH algorithm for modeling the wavelet sub band detail coefficients. In histogram modeling we make us of RH to utilize the step function with exponentially increasing intervals, and the concatenation of the RH model parameters for all wavelet sub band forms the so called RH signature, for the justification of RH we analyzed and reviewed statistical properties of the same histogram. These properties would justify the suitability of the image signature to characterize the wavelet sub band information. In this paper we present an efficient algorithm for RH signature based on the coefficient counting technique. This technique will be the indirect method to speed up the overall classification of system performance. We applied the new image signature to texture classification using the standard database. These results are summarized that the classification performance of RH is better than traditional methods.

Keywords -- Refined Histogram (RH). Multispectral Images, RH signature,Wavelet Transform.

References --

  1. Tong L.Li.C.S and Choy S.K “Texture classification Using Refined Histogram”       IEEE Transaction on Image processing Vol 19, No.5, May 2010.
  2. Anil K.Jain, Farshid Farrokhnia,“ Unsupervised Texture Segmentation using Gabor Filter ” - IEEE  Conference pp 75-85 , Feb 1990.
  3. Boris Lohmann, Shutao LI, Yaonan WANG, “Texture Classification using Discrete   Multiwavelet Transform”– IEEE Conference pp 45-56, March 2000.
  4. Castano Rebbecca, Roberto Manduchi, Justin Fox, “Classification experiments on Real World Texture” –IEEE Conference pp 12-25, May 2001.
  5. Deliang Wang, Xiuwen, “Texture Classification using Spectral Histograms” –IEEE Conference Vol 12, No:6  pp 130-135, June 2003.          
  6. Fogel.S.I, Sagi.D, Johnson, “Gabor Filter as Texture Discriminator” –Journal 103-113, Oct 1989.
  7. Hong-Choon Ong, Hee- Kooi Khoo, “ Improved Image Texture Classification using Grey Level Coccurence Probabilities with support vector machines post-processing” Journal Vol 19, No:2 pp 225-231 , July 2009.
  8. Jianguo Zhang, Tieniu Tan,“Affine Invariant Texture Signatures  “ –IEEE Conference pp 92-96, April 2001.
  9. Kai-Kuang Ma, Jiango Zhang“Kernel Fisher Discriminant for Texture Classification” IEEE Conference pp 11-19, Sep 2004.
  10.  Ms.P.N.Jebarani Sargunar, Dr.R.Sukanesh,“Texture Defect Detection the for MR       Knee Images” –Journal pp – 25-31 , March 2009.    
  11.  Martin Vetterli, Mitnh N.Do, “Rotation Invariant  texture characterization and  retrival using steerable wavelet domain Hidden Markov Models”-IEEE Transaction on neural networks pp 76-87 May 2002
  12. Malik Magdon, Amir Atiya. “detection estimation and random variate generation using multilayer network- IEEE Transaction on neural networks pp 67-87 May 2003
  13. Martin Szummer, Rosalind  picard.W, “ Temporal texture classification”-IEEE Trans pp 90-103
  14. Minh.N and Martin Vetterli “ Wavelet based texture classification using generalized Gaussian Density and Kullback -leibler Distance ” IEEE  Trans 2002 pp 149-155
  15. Ojala.T and Pietik.M Dinen “ Texture Classification ” http:/ images/texture.
  16. Olivercommowick,Christophelenglet,CecileLouchet“Wavelet based texture classification and retrieval”-IEEE conference ,pp2-8 Apirl, 2003.
  17. Oriol pujol and Petia Radeva “ Supervised texture classification  for intravascular tissue characterization ” journal 2004 pp 6-34.
  18. Padma.M.C, Vijaya.P.A, “ Entropy based texture features useful for automatic script identification ” journal vol.15 no.10 pp 134-145.



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Dr.M.Anto Bennet

Professor,Department of ECE, VELTECH, Chennai-600062

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