An approach to manage Hue and Saturation uncertainty addressed to colour segmentation algorithms
by S. Romani, P. Sobrevilla, E. Montseny
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 1, No. 3/4, 2006

Abstract: Variability of Hue and Saturation components is an important drawback for developing accurate colour image segmentation algorithms based on HSI spaces: input RGB noise gets unevenly amplified through RGB-to-HSI formulation. Therefore, some H–S values are intrinsically more uncertain than others. To quantify such uncertainty, we propose to use our Hue and Saturation reliability functions, which are defined on predicted standard deviations of colour samples. These functions provide a reliability degree of the H–S values of image pixels, so that any segmentation algorithm may ponder the relevance of input colour data.

Online publication date: Thu, 01-Jun-2006

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 Intelligent Systems Technologies and Applications (IJISTA):
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