The week's pick
Reseach Article
A Theory Based on Conversion of RGB image to Gray image
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 7 - Number 2 |
| Year of Publication: 2010 |
| Authors: Tarun Kumar, Karun Verma |
10.5120/1140-1493
|
Tarun Kumar, Karun Verma . A Theory Based on Conversion of RGB image to Gray image. International Journal of Computer Applications. 7, 2 ( September 2010), 7-10. DOI=10.5120/1140-1493
Abstract
The use of color in image processing is motivated by two principal factors; First color is a powerful descriptor that often simplifies object identification and extraction from a scene. Second, human can discern thousands of color shades and intensities, compared to about only two dozen shades of gray. In RGB model, each color appears in its primary spectral components of red, green and blue. This model is based on Cartesian coordinate system. Images represented in RGB color model consist of three component images. One for each primary, when fed into an RGB monitor, these three images combines on the phosphor screen to produce a composite color image. The number of bits used to represent each pixel in RGB space is called the pixel depth. Consider an RGB image in which each of the red, green and blue images is an 8-bit image. Under these conditions each RGB color pixel is said to have a depth of 24 bit. MATLAB 7.0 2007b was used for the implementation of all results.
References
- Gur, E., Zalevsky, Z., 2007, Single-Image Digital Super-Resolution A Revised Gerchberg Papoulis Algorithm, IAENG international Journal of Computer Science, 34:2, IJCS_34_2_14.
- Irani, M., Peleg, S., 1991, Improving resolution by image Registration, Graphical Models and Image Processing, vol. 53,no. 3, pp.231-239.
- Deepa, S. N., Sivanandam, S. N., Sumathi, S., 2006, Introduction to Neural Networks using MATLAB 6.0, vol. 1, Tata McGraw-Hill.
- Finlayson, G. D., Qiu, G., Qiu, M., 1999, Contrast Maximizing and Brightness Preserving Color to Grayscale Image Conversion.
- The Math Work, 1999 the neural network and image processing toolbox, The Math Work Inc.
- Bala, R., Braun ,K. M., Color to grayscale conversion to maintain discriminability, Xerox Innovation Group, 800 Phillips Rd, 128-27E, Webster, NY 14580.
- MATLAB and Simulink for Technical Computing, URL: http://www.mathworks.com, July 2010.
- Pratt, W. K., 2007, “Digital Image Processing”, Fourth Edition, A John Wiley & Sons Inc. Publication.
- Parveen, N. R.S., Sathik, M.M., 2010, Gray Scale Conversion Of X-Ray Image, ICISA 2010, and Chennai, India.
- Kumar, T., Verma, K., 2010, Analysis of Soft computing Techniques for face Detection, Thesis, Thapar University, Patiala, India.
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