Paper Info
Title
Fast Multiscale Operator Development for Hexagonal Images
Abstract
For many years the concept of using hexagonal pixels for image capture has been investigated, and several advantages of such an approach have been highlighted. Recently there has been a renewed interested in using hexagonal pixel based images for various image processing tasks. Therefore, we present a design procedure for scalable hexagonal gradient operators, developed within the finite element framework, for use on hexagonal pixel based images. We highlight the efficiency of our approach, based on computing just one small neighbourhood operator and generating larger scale operators via linear additions of the small operator. We also demonstrate that scaled salient feature maps can be generated from one low level feature map without the need for application of larger operators.
Year
DOI
Venue
2009
10.1007/978-3-642-03798-6_29
DAGM-Symposium
Keywords
Field
DocType
image capture,larger scale operator,larger operator,salient feature map,small operator,fast multiscale operator development,small neighbourhood operator,low level feature map,hexagonal pixel,scalable hexagonal gradient operator,various image processing task,hexagonal images,finite element,image processing
Computer vision,Hexagonal tiling,Image processing,Finite element method,Artificial intelligence,Operator (computer programming),Pixel,Mathematics,Salient,Pixel connectivity,Scalability
Conference
Volume
ISSN
Citations 
5748
0302-9743
4
PageRank 
References 
Authors
0.52
10
3
Name
Order
Citations
PageRank
Bryan Gardiner1288.31
Sonya Coleman2165.59
Bryan W. Scotney367082.50