Skin region segmentation using an image-adapted colour model Online publication date: Sat, 26-Sep-2015
by Seok-Woo Jang; Kee-Hong Park; Gye-Young Kim
International Journal of Computer Applications in Technology (IJCAT), Vol. 52, No. 2/3, 2015
Abstract: This paper presents a new skin region extraction method that generates an image-adapted skin colour model and then segments skin areas using the model. Our method first detects eyes by using an eye map and then develops an image-adapted skin colour distribution model based on a skin map generated by reliably selecting true skin samples near the detected eyes. All skin areas over the entire image are then segmented with the generated skin model. While most of the existing skin detection methods use some pre-defined colour model, our skin model is adaptively constructed from each test image online so that it can overcome fundamental difficulties in extracting skin areas. Experimental results show that our skin extraction method gives better results as compared to other existing approaches.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com