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Variety of Segmentation Techniques for High Accuracy Object

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

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In order to build a robust model that used to detect and recognize an object in any scene, good segmentation technique should be adopted, in this work we have studied and analyzed two recent segmentation techniques using varies metric parameters to highlights the concealed performance of each of them as well as discover the detailed operation of these techniques, we have presented in this paper the techniques that used Gaussian Mixture Model (GMM) as a basic tools to spot the foreground object based on natural skin color with two different applications for that tool.


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[11] Rafiqul Z. Khan, Noor A. Ibraheem, “Segmentation Algorithms for Vision Based HCI”, Third Kuwait Conference on e-Services and e-Systems, December 18-20, 2012, Kuwait University, Kuwai.

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[13] Noor A. Ibraheem, Rafiqul Z. Khan ,“Novel Segmentation Algorithm based on Mixture of Multiple Histograms”, International Journal of Scientific & Engineering Research, Volume 4 (8):1074-1087, August-2013.

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Gaussian Mixture Model, Segmentation, Object Detection, Skin Color Extraction, pattern recognition.

  • Format Volume 3, Issue 1, No 2, 2015
  • Copyright All Rights Reserved ©2015
  • Year of Publication 2015
  • Author Mokhtar M Hasan
  • Reference IJCS-080
  • Page No 456-459

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