An Adaptive Threshold Segmentation Algorithm for Gesture segmentation

被引：0
|
作者：
Wang, Mei [1 ]
Lin, Jzau-Sheng
Fu, Zhou Xing [1 ]
Meng, Guo Qing [1 ]
机构：
[1] Xian Univ Sci & Technol, Coll Elect & Control Engn, Xian 710054, Peoples R China
来源：
APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY | 2014年 / 513-517卷
关键词：
Image Segmentation; Adaptive Threshold; Hand Gesture;
D O I：
10.4028/www.scientific.net/AMM.513-517.457
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
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.
引用
收藏
页码：457 / 460
页数：4
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