Fast Edge Map Pyramids for Hexagonal Image Structures

Author

Gardiner, Bryan ; Coleman, Sonya ; Scotney, Bryan

Author_Institution

Sch. of Comput. & Intell. Syst., Univ. of Ulster, Londonderry, UK

fYear

2009

fDate

2-4 Sept. 2009

Firstpage

41

Lastpage

46

Abstract

Improving the computational efficiency of image processing tasks has become a dominant issue with the ultimate goal of real-time processing. One solution to improve efficiency is the use of a hexagonal image representation and we present an approach to feature extraction on hexagonal images using an edge map pyramid approach that further reduces the computational cost. The efficient performance of this approach is demonstrated by comparing run-times for obtaining edge maps by applying multi-scale operators directly to hexagonal images with the edge map pyramid approach.

Keywords

edge detection; feature extraction; image representation; computational efficiency; fast edge map pyramids; feature extraction; hexagonal image representation; hexagonal image structure; image processing; real-time processing; Computational efficiency; Computer vision; Feature extraction; Humans; Image edge detection; Image processing; Image representation; Machine vision; Retina; Sensor systems; finite element; hexagonal; pyramid;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Vision and Image Processing Conference, 2009. IMVIP '09. 13th International

Conference_Location

Dublin

Print_ISBN

978-1-4244-4875-3

Electronic_ISBN

978-0-7695-3796-2

Type

conf

DOI

10.1109/IMVIP.2009.15

Filename

5319338