Research on the image segmentation of icing line based on NSCT and 2-D OSTU
by Lin Qi; Jing Wang; Can Dong Li; Wei Liu
International Journal of Computer Applications in Technology (IJCAT), Vol. 57, No. 2, 2018

Abstract: In allusion to increased noise and blurring of icing line images, this paper has proposed a segmentation method based on NSCT and 2-D Otsu, using NSCT to implement de-noising processing of image, and introducing combined threshold methods of improved genetic algorithm and 2-D Otsu algorithm for image segmentation, and has described the specific algorithm. The results show that this method can effectively realise the de-noising processing of icing images, making accurate extraction of the target, which has reduced the search time, convenient for real time applications.

Online publication date: Thu, 10-May-2018

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 Computer Applications in Technology (IJCAT):
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