An algorithmic comparison between square- and hexagonal-based grids
CVGIP: Graphical Models and Image Processing
A Systematic Design Procedure for Scalable Near-Circular Laplacian of Gaussian Operators
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Hexagonal Image Processing: A Practical Approach (Advances in Pattern Recognition)
Hexagonal Image Processing: A Practical Approach (Advances in Pattern Recognition)
Improving Cooperative Robot Exploration Using an Hexagonal World Representation
CERMA '07 Proceedings of the Electronics, Robotics and Automotive Mechanics Conference
A Design Procedure for Gradient Operators on Hexagonal Images
IMVIP '07 Proceedings of the International Machine Vision and Image Processing Conference
Multi-scale Feature Extraction in a Sub-pixel Virtual Hexagonal Environment
IMVIP '08 Proceedings of the 2008 International Machine Vision and Image Processing Conference
Orthogonal and Biorthogonal FIR Hexagonal Filter Banks With Sixfold Symmetry
IEEE Transactions on Signal Processing
Blue-noise halftoning for hexagonal grids
IEEE Transactions on Image Processing
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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.