Conformal Snake algorithm for contour detection

Access Full Text

Conformal Snake algorithm for contour detection

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© IEE
Published

A novel and effective modification of the original Snake algorithm is proposed. The modification can improve the capability of the algorithm to detect boundaries with sharp corners or concave parts without the need to introduce external forces. The essential idea is to apply conformal mapping to transform the image so that the object boundary in the new domain can be captured by the Snake algorithm.

Inspec keywords: edge detection

Other keywords: sharp corners; image transform; concave parts; boundary detection; contour detection; object boundary detection; conformal Snake algorithm

Subjects: Image recognition; Image recognition

References

    1. 1)
      • M. Kass , A. Witkin , D. Terzopoulos . Snakes: active contour models. Int. J. Comput. Vision , 321 - 331
    2. 2)
    3. 3)
      • L.D. Cohen . On the active contour models and balloons. CVGIP, Image Underst. , 211 - 218
    4. 4)
      • M.R. Spiegel . (1964) Complex variables.
http://iet.metastore.ingenta.com/content/journals/10.1049/el_20020335
Loading

Related content

content/journals/10.1049/el_20020335
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading