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A hand segmentation scheme using clustering technique in homogeneous background


Citation

Lew, Yuan Pok and Ramli, Abdul Rahman and Koay, Su Yeong and Ali, Roslizah and Prakash, Veeraraghavan (2002) A hand segmentation scheme using clustering technique in homogeneous background. In: 2002 Student Conference on Research and Development (SCOReD 2002), 16-17 July 2002, Grand Blue Wave Hotel, Shah Alam, Malaysia. (pp. 305-308).

Abstract / Synopsis

Segmentation serves as the first step in any image analysis and it plays a very vital role as the success of the image analysis in the later stage depends very much on a suitable and robust segmentation scheme. Hand segmentation on the other hand is the first step for hand image analysis such as hand gesture recognition. An image subtraction method is implemented on a gray level image, RGB color image and image in normalized RGB color space under homogeneous background to investigate their appropriateness for segmentation. A skin color model based on the clustering property of skin color is then built to improve the segmentation result obtained from the image subtraction on the normalized RGB image. It is found that the proposed skin color modeling technique is able to improve the segmentation and provide a faster and reliable method for hand segmentation.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1109/SCORED.2002.1033119
Publisher: IEEE
Keywords: Hand segmentation; Image analysis; Segmentation; RGB color; Skin color model
Depositing User: Nabilah Mustapa
Date Deposited: 14 Jul 2016 17:10
Last Modified: 14 Jul 2016 17:10
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/SCORED.2002.1033119
URI: http://psasir.upm.edu.my/id/eprint/47732
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