It is well known that most images don’t always require an 8-bit representation for each pixel; in
particular a pixel of texture images may even be coded in no more than 5 bits (32 gray levels).
Adequately enough it is probable that between 20 to 32 levels of gray could be a suitable
threshold for most gray level texture image representation, before the image shows signs of false
contouring or any notable rough edges. This research uses various sets of images that have been
equalized through the use of Histogram Equalization; a methodology that increases the contrast
of an image by using the image’s histogram. All the data gathered were from a survey conducted
on 50 different test subjects.

[1] G.K. Bhattacharyya and A.R. Johnson, Statistical Concepts and Methods, John Wiley &
Sons, New York, 1977.
[2] P. Brodatz, Textures: A Photographic Album for Artists and Designers, Dover, New
York, 1966.
[3] C.C. Chen and C. C. Chen, “Texture Synthesis: A Review and Experiments,” Journal of
Information Science and Engineering 19, 371-380, 2003.
[4] C.C Chen and C.C. Chen, “Filtering methods for Texture Discrimination,” Pattern
Recognition Letters 20 789-790, 1999.
[5] C.C. Chen and C. C. Chen, “Texture Synthesis: Algorithms and Experiments,” in
Proceedings of the 9
th
, Chinese Image Processing and Pattern Recognition Conference,
pp. 31-37, 1996.
[6] C. H. Chen and L. F. Pau, The Handbook of Pattern Recognition and Computer Vision
(2
nd
Edition), 1999.
[7] C.R. Dyer and A. Rosenfeld. Fourier texture features: Suppression of aperture effects.
IEEE Trans. Systems, Man and Cybernetics, 6:703–705, 1976.
[8] C.R. Gonzalez and E.R. Woods, Digital Image Processing. Prentice Hall Inc., New Jersey,
2002.
[9] F. Harry, Introduction to Probability and Statistics: Concepts and Principles, John Wiley
& Sons, New York, 1974.
[10] H. Kaizer. A Quantification of Textures on Aerial Photographs. MS thesis, Boston
University, 1955.
[11] E.L. Lehmann and H.J.M. D’abrera, Nonparametrics: Statistical Methods Based on Ranks,
Holden-Day Inc., 1975.
[12] M. Mirmehdi, X. Xie, and J. Suri, "Handbook of Texture Analysis", Imperial College
Press, London, October 2008.
[13] A.C. SchützCorresponding, D. I. Brauna and K. R. Gegenfurtnera, “Object recognition
during foveating eye movements.” Vision Research, August 2008.
[14] H. Tamura, S. Mori, and T. Yamawaki, “Textural features corresponding to Visual
perception,” IEEE Transactions on Systems, Man and Cybernetics, Vol. 8, 460-470, 1978.
[15] J.S. Weszka and A. Rosenfeld. An application of texture analysis to materials inspection.
Pattern Recognition, 8(4):195–200, October 1976.
[16] B. Wyble., H. Bowman, & M. Potter, “Sparing at a Cost: The attentional blink serves to
enhance episodic distinctiveness.” Journal of Vision, 7(9):957, 957a, 2007.
[17] http://fourier.eng.hmc.edu/e161/lectures/contrast_transform/node3.html, accessed on June 10th, 2009.
[18] http://homepages.inf.ed.ac.uk/rbf/HIPR2/histeq.htm, accessed on June 10th, 2009.
[19] http://en.wikipedia.org/wiki/Histogram_equalization, accessed on June 10th, 2009.