An Adaptive Threshold Segmentation Algorithm for Gesture Segmentation

The key step for gesture recognition is hand gesture segmentation. A new dynamic thresholding segmentation approach named Adaptive Threshold Segmentation Algorithm (ATSA) was developed. The segmentation effect evaluation was conducted based on the construction of a new color space model of skin mode...

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Veröffentlicht in:Applied Mechanics and Materials Jg. 513-517; H. Applied Science, Materials Science and Information Technologies in Industry; S. 457 - 460
Hauptverfasser: Fu, Zhou Xing, Wang, Mei, Meng, Guo Qing, Lin, Jzau Sheng
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Zurich Trans Tech Publications Ltd 06.02.2014
Schlagworte:
Adaptive algorithms
Algorithms
Brightness
Color
Integrity
Recognition
Segmentation
Thresholds
Hand Gesture
Adaptive Threshold
Image Segmentation
ISBN:9783038350125, 3038350125
ISSN:1660-9336, 1662-7482, 1662-7482
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Abstract The key step for gesture recognition is hand gesture segmentation. A new dynamic thresholding segmentation approach named Adaptive Threshold Segmentation Algorithm (ATSA) was developed. The segmentation effect evaluation was conducted based on the construction of a new color space model of skin model. The images of hand gesture were processed by using the proposed ATSA and the Fixed Threshold Segmentation (FTS) algorithm. Comparing with FTS, the ATSA is experimentally demonstrated that the segmented result has a less brightness impact, a lower redundancy rate, a lower rate of false alarm and missing, and a higher integrity rate.
AbstractList The key step for gesture recognition is hand gesture segmentation. A new dynamic thresholding segmentation approach named Adaptive Threshold Segmentation Algorithm (ATSA) was developed. The segmentation effect evaluation was conducted based on the construction of a new color space model of skin model. The images of hand gesture were processed by using the proposed ATSA and the Fixed Threshold Segmentation (FTS) algorithm. Comparing with FTS, the ATSA is experimentally demonstrated that the segmented result has a less brightness impact, a lower redundancy rate, a lower rate of false alarm and missing, and a higher integrity rate.
Author Meng, Guo Qing
Fu, Zhou Xing
Wang, Mei
Lin, Jzau Sheng
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  email: jslin@ncut.edu.tw
  organization: National Chin-Yi University of Technology : Department of Computer Science and Information Engineering
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Cites_doi 10.1109/mmul.2008.28
10.1109/tnn.2002.1021898
10.1109/tip.2011.2146190
10.1117/1.oe.52.2.027206
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Issue Applied Science, Materials Science and Information Technologies in Industry
Keywords Hand Gesture
Adaptive Threshold
Image Segmentation
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SubjectTerms Adaptive algorithms
Algorithms
Brightness
Color
Integrity
Recognition
Segmentation
Thresholds
Title An Adaptive Threshold Segmentation Algorithm for Gesture Segmentation
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