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Experiencing Various Color Models on Colored Images

by Noor A. Ibraheem, Mokhtar M. Hasan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 169 - Number 2
Year of Publication: 2017
Authors: Noor A. Ibraheem, Mokhtar M. Hasan
10.5120/ijca2017914608

Noor A. Ibraheem, Mokhtar M. Hasan . Experiencing Various Color Models on Colored Images. International Journal of Computer Applications. 169, 2 ( Jul 2017), 29-33. DOI=10.5120/ijca2017914608

@article{ 10.5120/ijca2017914608,
author = { Noor A. Ibraheem, Mokhtar M. Hasan },
title = { Experiencing Various Color Models on Colored Images },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2017 },
volume = { 169 },
number = { 2 },
month = { Jul },
year = { 2017 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume169/number2/27959-2017914608/ },
doi = { 10.5120/ijca2017914608 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:16:18.402658+05:30
%A Noor A. Ibraheem
%A Mokhtar M. Hasan
%T Experiencing Various Color Models on Colored Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 169
%N 2
%P 29-33
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
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  5. Rafiqul Z. Khan,Noor A. Ibraheem, “Novel Segmentation Algorithm based on Mixture of Multiple Histograms”, International Journal of Scientific & Engineering Research (IJSER), (ISSN 2229-5518), Volume 4 (8), pp. 1074-1087, France, August2013.
  6. Noor A. Ibraheem, Mokhtar M. Hasan, Rafiqul Z. Khan, Pramod K. Mishra, “Understanding Color Models: A Review”, ARPN Journal of Science and Technology (ISSN: 2225-7217) - (An International Journal), Volume 2 (3), April 2012.
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  8. Noor A. Ibraheem, Rafiqul Z. Khan, “Multiple Histogram Technique for Robust Skin Color Based Segmentation”, American Journal of Engineering Research (AJER), Volume 2(5), (e-ISSN 2229-5518), (p-ISSN 2320-0936), pp. 50-54, USA, May 2013.
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  13. Mokhtar M. Hasan, Ahmed A. Abdul Redha, “Applying Quran Security and Hamming Codes for Preventing of Text Modification”, Baghdad Science Journal, University of Baghdad, Iraq, vol.8 (2): 408-418, June 2011.
  14. Mokhtar M Hasan, “New Rotation Invariance Features Based on Circle Partitioning”, Journal of Computer Engineering & Information Technology, vol. 2 (2), USA, July 2013, doi: 10.4172/2324-9307.1000108.
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  18. Mokhtar M. Hasan and Pramod K. Mishra, “Robust Gesture Recognition Using Gaussian Distribution for Features Fitting”, International Journal of Machine Learning and Computing, IACSIT Organization, vol. 2(3):266-273, Singapore, June 2012.
  19. Mokhtar M. Hasan, “Object Filling Using Table Based Boundary Tracking”, Journal of College of Education for Women, vol. 28(1): 323-331, March 2017.
  20. RafiqulZaman Khan, Noor Adnan Ibraheem ,"Genetic Shape Fitting for Hand Gesture Modeling and Feature Extraction using Variable Length Chromosome", British Journal of Science, (ISSN 2047-3745), Volume 10 (1), UK, December 2013.
  21. Rafiqul Zaman Khan, Noor Adnan Ibraheem ,"Comparative Study and Analysis for Gesture Recognition Methodologies", International Journal of Advance Research in Science and Engineering, (e-ISSN 2319-8354), (p-ISSN 2319-8346), Volume 2(11), pp.64-69, India, November 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Color Model RGB CMY HSV YCbCr skin color detection segmentation.

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