Title
Adaptive tri-direction edge detection operators based on the spiral architecture
Abstract
We present a general approach to the computation of adaptive tri-directional operators for use on hexagonal pixel-based images, based on the spiral architecture. We show that the use of Gaussian basis functions within the finite element method provides a framework for a systematic design procedure for operators that are adaptive to spiral neighbourhoods through the use of an explicit scale parameter. We evaluate the proposed operators using simulated hexagonal images and provide comparative results with the use of traditional rectangular operators.
Year
DOI
Venue
2010
10.1109/ICIP.2010.5650008
Image Processing
Keywords
Field
DocType
Gaussian processes,edge detection,finite element analysis,Gaussian basis functions,adaptive tridirection edge detection operators,adaptive tridirectional operators,explicit scale parameter,finite element method,hexagonal pixel-based images,spiral architecture,systematic design procedure,hexagonal images,spiral architecture
Computer vision,Spiral,Computer science,Edge detection,Gaussian,Basis function,Pixel,Gaussian process,Operator (computer programming),Artificial intelligence,Computation
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-7993-1
978-1-4244-7993-1
2
PageRank 
References 
Authors
0.51
7
3
Name
Order
Citations
PageRank
S. A. Coleman1408.50
Bryan Gardiner2288.31
B. W. Scotney3536.56