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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Bibliographic Details
Published in:Applied Mechanics and Materials Vol. 513-517; no. Applied Science, Materials Science and Information Technologies in Industry; pp. 457 - 460
Main Authors: Fu, Zhou Xing, Wang, Mei, Meng, Guo Qing, Lin, Jzau Sheng
Format: Journal Article
Language:English
Published: Zurich Trans Tech Publications Ltd 06.02.2014
Subjects:
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
Online Access:Get full text
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Summary: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.
Bibliography:Selected, peer reviewed papers from the 2014 International Conference on Advances in Materials Science and Information Technologies in Industry (AMSITI 2014), January 11-12, 2014, Xi’an, China
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ISBN:9783038350125
3038350125
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.513-517.457