DocumentCode
578382
Title
Hand segmentation in complex environment based on skin color model and boundary cutting
Author
Cui, Xin ; Bu, Wei ; Wu, Xiang-qian ; Zhao, Qiu-shi
Author_Institution
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China
Volume
3
fYear
2012
fDate
15-17 July 2012
Firstpage
1098
Lastpage
1103
Abstract
This paper presents a novel hand segmentation method in complex environment based on color model and boundary cutting. Probability map is generated through skin color model to get a rough segmentation. For boundary cutting, a vote map based method is proposed to get precise hand segmentation. Experimental result is appraised by sensitivity and specificity which are 96.54% and 96.92% respectively.
Keywords
edge detection; image colour analysis; image segmentation; boundary cutting; complex environment; hand segmentation; probability map; rough segmentation; skin color model; vote map based method; Abstracts; Artificial neural networks; Biological system modeling; Biomedical imaging; Image segmentation; Skin; Standards; Boundary extraction; Complex environment; Hand segmentation; Neural network; Skin color model;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location
Xian
ISSN
2160-133X
Print_ISBN
978-1-4673-1484-8
Type
conf
DOI
10.1109/ICMLC.2012.6359508
Filename
6359508
Link To Document