Automatic generation of trimap for image matting
by Sweta Singh; Anand Singh Jalal
International Journal of Machine Intelligence and Sensory Signal Processing (IJMISSP), Vol. 1, No. 3, 2014

Abstract: Image matting is a process of extracting a foreground object from an image. Providing trimap is an important challenge of image matting. An attentively created trimap is required to get accurate alpha-matte. Accuracy of trimap-based approach reduces drastically as the trimap becomes thicker and coarser. Providing trimap manually is an exhausting and time consuming task for user. Scribble-based approach solves the problem by reducing user effort but with reduced accuracy. In this paper, we propose an approach to automatically generate trimap. It uses learning-based matting to generate a high quality alpha-matte in less time. It helps in obtaining accurate and fast result without user effort. The experimental results show the automatically generated trimap and alpha-matte are qualitatively and quantitatively better.

Online publication date: Wed, 31-Dec-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
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 Machine Intelligence and Sensory Signal Processing (IJMISSP):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your 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