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International Journal of Latest Research in Science and Technology

DOI:10.29111/ijlrst   ISRA Impact Factor:3.35,  Peer-reviewed, Open-access Journal

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GESTURE SEGMENTATION USING AN ADAPTIVE THRESHOLD ALGORITHM

Research Paper Open Access

International Journal of Latest Research in Science and Technology Vol.3 Issue 4, pp 65-71,Year 2014

GESTURE SEGMENTATION USING AN ADAPTIVE THRESHOLD ALGORITHM

Mei Wang, Jzau-Sheng Lin, Zhou Xing Fu,Guo Qing Meng

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Received : 15 August 2014; Accepted : 26 August 2014 ; Published : 31 August 2014

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Article No. 10356
Abstract

Hand gesture segmentation is a key step for gesture recognition. Based on the construction of a new color space of skin model, a new dynamic-thresholding segmentation approach named Adaptive Threshold Segmentation Algorithm (ATSA) was further developed and segmentation effect evaluation was conducted. Some images of hand gesture were processed by using ATSA and the Fixed Threshold Segmentation (FTS) algorithm as well as the Similarity algorithm of Skin Color (SSC). Comparing with FTS and SSC algorithms, The ATSA is experimentally demonstrated that, the segmentation results have a less brightness impact, a lower redundancy rate, a lower rate of false alarm and missing, and a higher integrity rate.

Key Words   
Image Segmentation; Adaptive Threshold, Hand Gesture

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References
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To cite this article

Mei Wang, Jzau-Sheng Lin, Zhou Xing Fu,Guo Qing Meng , " Gesture Segmentation Using An Adaptive Threshold Algorithm ", International Journal of Latest Research in Science and Technology . Vol. 3, Issue 4, pp 65-71 , 2014

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