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Experiencing Various Color Models on Colored Images

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Noor A. Ibraheem, Mokhtar M. Hasan

Noor A Ibraheem and Mokhtar M Hasan. Experiencing Various Color Models on Colored Images. International Journal of Computer Applications 169(2):29-33, July 2017. BibTeX

	author = {Noor A. Ibraheem and Mokhtar M. Hasan},
	title = {Experiencing Various Color Models on Colored Images},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2017},
	volume = {169},
	number = {2},
	month = {Jul},
	year = {2017},
	issn = {0975-8887},
	pages = {29-33},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2017914608},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Colors are important for human communicating with the daily encountered objects as well as his species, these colors should be represented formally and numerically within a mathematical formula so it can be projected on device/ computer storage and applications, this mathematical representation is known as color model that can hold the color space, by the means of color’s primary components (Red, Green, and Blue) the computer can visualizes what the human does in hue and lightness. In this work a review of most popular color models are given (which are RGB, CMY, HSV, and YCbCr) with the explanation of the components, color system, and transformation formula for each other, application areas and usages are also included. Comparison between these different color models is performed by applying Signal to noise Ratio (SNR) metric to indicate the best color models. Results analysis shows the RGB has better results according to SNR measure.


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Color Model, RGB, CMY, HSV, YCbCr, skin color detection, segmentation.