Uniqueness of the Gaussian Kernel for Scale-Space Filtering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Design of optimal Gaussian operators in small neighbourhoods
Image and Vision Computing
Computer Vision, Graphics, and Image Processing
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finite element method for determination of optical flow
Pattern Recognition Letters
Journal of Mathematical Imaging and Vision
Simulating facial surgery using finite element models
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Robust Visual Method for Assessing the Relative Performance of Edge-Detection Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
Scale-Space Theory in Computer Vision
Scale-Space Theory in Computer Vision
Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Device Space Design for Efficient Scale-Space Edge Detection
ICCS '02 Proceedings of the International Conference on Computational Science-Part I
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
Content-adaptive feature extraction using image variance
Pattern Recognition
Fast Multiscale Operator Development for Hexagonal Images
Proceedings of the 31st DAGM Symposium on Pattern Recognition
FESID: Finite Element Scale Invariant Detector
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Processing Hexagonal Images in a Virtual Environment
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Gradient operators for feature extraction and characterisation in range images
Pattern Recognition Letters
Multi-scale edge detection on range and intensity images
Pattern Recognition
A finite element blob detector for robust features
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
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In image filtering, the 'circularity' of an operator is an important factor affecting its accuracy. For example, circular differential edge operators are effective in minimising the angular error in the estimation of image gradient direction. We present a general approach to the computation of scalable circular low-level image processing operators that is based on the finite element method. We show that the use of Gaussian basis functions within the finite element method provides a framework for a systematic and efficient design procedure for operators that are scalable to near-circular neighbourhoods through the use of an explicit scale parameter. The general design technique may be applied to a range of operators. Here we evaluate the approach for the design of the image gradient operator. We illustrate that this design procedure significantly reduces angular error in comparison to other well-known gradient approximation methods.