Composite Pseudocoloring Scheme Using Spiral Method with Ensuring Same Brightness

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2013 by IJETT Journal
Volume-4 Issue-7                      
Year of Publication : 2013
Authors : Rajbahadur Singh Raghuvanshi , Ashutosh Datar


Rajbahadur Singh Raghuvanshi , Ashutosh Datar. "Composite Pseudocoloring Scheme Using Spiral Method with Ensuring Same Brightness". International Journal of Engineering Trends and Technology (IJETT). V4(7):2800-2805 Jul 2013. ISSN:2231-5381. published by seventh sense research group.


This paper develops a method for automatic colorization of images (or two - dimensional fields presented as images), in order to clearly visualize the intensity level. Medical images like X - ray, CT scan, MRI and Ultrasound images are generally gray images. In these type of appli cations, brightness level are very important for good diagnosis . In generally used pseudocoloring methods intensity information is lost due to simple to one transform. Hence a parametric path in RGB color cube is introduced for preserving the brightness level. The obtained spiral can provide a number of color spectra by altering its parameters. in pseudocored image. This method can also applied on images of higher number of bits. Here this technique is taken as the tool for enhancing the gray medical images. A hybrid scheme is also applied in which a specific window of gray image is psudocolored with a color spectra other than the applied on remaining image. Human beings can only discern a few dozen gray level values while they can distinguish thousands of colors, the use of color for human interpretation could only improve the diagnos is process . It can produce a n image in different color spectras for visualising the medical image clearly and effectively hig hlight the disease areas, which results in better diagnosis .


[1] R.C. Gonzalez and R.E. Woods, Digital Image Processing, New Delhi: Asea Pearson , 2002.
[2] Dai Jianbiao and Zhou Shaoxiang, ?Computer - aided pseudocolor coding of gray images: complementary color - coding technique,? Proc. SPIE. Electronic Imaging and Multimedia Systems . vol. 2889, pp. 181 – 191, September 1996. .
[3] Maoyong Cao and Daoyin Yu, ?Pseudo - color coding of high gray resolution image,? Optical Technique. BeiJing, vol. 28, pp. 19 – 21, March 2002.
[4] Maoyong Cao and Dao yin Yu, ?Pseudocolor coding of gray image based on perceptual color space,? Optical Technique. Beijing, vol. 28, pp. 79 – 80+83, July 2002. .
[5] Daiying Zhang, Shaofang Pang, and Yuening Chen, ?Low - contrast image enhancement based on wavelet and pseudocolor processing,? Optical Technique. Beijing, vol. 30, pp. 104 - 106, May 2004
[6] Ashutosh Datar and Shilpa Datar ? Pseudocoloring of medical images using parametric equation with preserved brightness? Proceedings of NCBME2007, October 5 - 6, 2007
[7] B. Chanda and D.D. Majumder, Digital Image Processing and Analysis, New De lhi: PH India, p54, 2002.
[8] V. Karthikeyan, K. Duraiswamy, and P. Kamalakkannan, ?Conversion of gray - scale image to color image with and without texture synthesis?, Intl. j. of Comp. Sc. And Network Security, vol.7, no.4, pp 11 - 16. April 2007.
[9] W.K. Pratt, Di gital Image Processing, New York: Wiley, 2003.
[10] B.R. Abidi, Y. Zheng, A.V. Gribok, and M.A. Abidi,? Improving weapon detection in single energy X - ray images through pseudocoloring?, IEEE Trans. Systems, Man and Cybernetics, vol. 36, no. 6, pp784 - 796, Nov. 2006..
[11] T.M. Lehmann, A. Kaser, and R. Repges, ?A simple parametric equation for pseudocoloring grey scale images keeping their original brightness progression.?, Image and Vision computing, vol.15, pp251 - 257, 1997 .
[12] J. McNames, ? An effective color scale for simultaneous color and grayscale publications?, IEEE Signal processing mag., pp 82 - 87 Jan 2006.
[13] N. Saidin, U.K. Ngah, and M.Y. Mashor, ?Ovarian ultrasound image enhancement by pseudocoloring?.
[14] L. Jinxiu, L. Junli, and W. Ping, ?Pseudocolor coding of medical images based on gradient?, pp 932 - 935, 2007.
[15] B. Chanda and D.D. Majumder, Digital Image Processing and Analysis , New Delhi: PH India, p54, 2002
[16] A. Naiman, color spaces and color contrast, The Visual Computer, 1( 1985)194 - 201.

brightness ; visualisation; medical images; pseudocolor coding.