Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Hexagonal edge relaxation

Hexagonal edge relaxation

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.

© The Institution of Electrical Engineers
Published

It has been found that hexagonal spatial sampling yields smaller quantisation errors. A new hexagonal edge relaxation method is described. In this method, the vertex types of an edge are simple and their classification is reasonable, therefore the overall enhancement of edges is more reliable than the Prager square edge relaxation method [1].

Inspec keywords: picture processing

Other keywords: hexagonal edge relaxation; hexagonal spatial sampling; edge enhancement; edge vertex types; image processing; quantisation errors

Subjects: Optical information, image and video signal processing; Pattern recognition

References

    1. 1)
      • Kamgar-Parsi, B., Sander, W.A.: `Quantization error in spatial sampling: comparison between square and hexagonal pixels', Proc. CVPR, 1989, p. 604–611.
    2. 2)
      • B.K.P. Horn . (1986) , Robot vision.
    3. 3)
      • J.M. Prager . Extracting and labeling boundary segments in natural scenes. IEEE Trans. , 1 , 16 - 27
    4. 4)
      • E.R. Davies . Optimising computation of hexagonal differential gradient edge detector. Electron. Lett. , 1526 - 1527
    5. 5)
      • S.K. Chang . (1989) , Principles of pictorial information systems design.
http://iet.metastore.ingenta.com/content/journals/10.1049/el_19920223
Loading

Related content

content/journals/10.1049/el_19920223
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address