A novel alternative to conventional machine vision features
by Suash Deb
International Journal of Bio-Inspired Computation (IJBIC), Vol. 1, No. 1/2, 2009

Abstract: The problem of recognition, classification and distance measurement between different polygons are all very important tasks in pattern recognition, text identification and model-based vision. The performance of any such job depends to a great extent on the proper selection of features. Towards that, this paper introduces a new set of shape descriptors – extended angle and extended ratio. These arise out of every set of alternating line segments of any polygon. These are invariant under similarity transformation (Deb, 2006). These together with a proper measure of the direction of the extended lengths makes the feature set unique in the sense that besides recognition, it helps in completing the reconstruction of the unknown polygon. This paper will study several characteristics of the extended feature set.

Online publication date: Mon, 26-Jan-2009

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 Bio-Inspired Computation (IJBIC):
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