Scaling Theorems for Zero Crossings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Uniqueness of the Gaussian Kernel for Scale-Space Filtering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two-dimensional imaging
The Topological Structure of Scale-Space Images
Journal of Mathematical Imaging and Vision
Scale-Space Theory in Computer Vision
Scale-Space Theory in Computer Vision
Signal Processing for Computer Vision
Signal Processing for Computer Vision
Linear Scale-Space has First been Proposed in Japan
Journal of Mathematical Imaging and Vision
An Extended Class of Scale-Invariant and Recursive Scale Space Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Review of Nonlinear Diffusion Filtering
SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
Linear Spatio-Temporal Scale-Space
SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
Disparity from Monogenic Phase
Proceedings of the 24th DAGM Symposium on Pattern Recognition
A New Extension of Linear Signal Processing for Estimating Local Properties and Detecting Features
Mustererkennung 2000, 22. DAGM-Symposium
On the Axioms of Scale Space Theory
Journal of Mathematical Imaging and Vision
The monogenic scale space on a bounded domain and its applications
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
IEEE Transactions on Signal Processing
Nonlinear image operators for the evaluation of local intrinsic dimensionality
IEEE Transactions on Image Processing
A general framework for low level vision
IEEE Transactions on Image Processing
The Monogenic Scale Space on a Rectangular Domain and its Features
International Journal of Computer Vision
Signal modeling for two-dimensional image structures
Journal of Visual Communication and Image Representation
The Conformal Monogenic Signal
Proceedings of the 30th DAGM symposium on Pattern Recognition
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing
The monogenic wavelet transform
IEEE Transactions on Signal Processing
Multiresolution monogenic signal analysis using the Riesz-Laplace wavelet transform
IEEE Transactions on Image Processing
Optical flow estimation from monogenic phase
IWCM'04 Proceedings of the 1st international conference on Complex motion
The monogenic scale space on a bounded domain and its applications
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
α scale spaces on a bounded domain
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Dense optical flow estimation from the monogenic curvature tensor
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Anisotropic α-kernels and associated flows
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Wavelet steerability and the higher-order Riesz transform
IEEE Transactions on Image Processing
Journal of Mathematical Imaging and Vision
Differential geometry of monogenic signal representations
RobVis'08 Proceedings of the 2nd international conference on Robot vision
A compact harmonic code for early vision based on anisotropic frequency channels
Computer Vision and Image Understanding
Review article: Edge and line oriented contour detection: State of the art
Image and Vision Computing
Local structure analysis by isotropic hilbert transforms
Proceedings of the 32nd DAGM conference on Pattern recognition
A novel curvature estimator for digital curves and images
Proceedings of the 32nd DAGM conference on Pattern recognition
Journal of Mathematical Imaging and Vision
Image Analysis by Conformal Embedding
Journal of Mathematical Imaging and Vision
The Color Monogenic Signal: Application to Color Edge Detection and Color Optical Flow
Journal of Mathematical Imaging and Vision
The 2D analytic signal on RF and B-mode ultrasound images
IPMI'11 Proceedings of the 22nd international conference on Information processing in medical imaging
Hypercomplex Mathematical Morphology
Journal of Mathematical Imaging and Vision
Anisotropic $\alpha$-Kernels and Associated Flows
SIAM Journal on Imaging Sciences
Detecting intrinsically two-dimensional image structures using local phase
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Twists – an operational representation of shape
IWMM'04/GIAE'04 Proceedings of the 6th international conference on Computer Algebra and Geometric Algebra with Applications
GET: the connection between monogenic scale-space and gaussian derivatives
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
On α kernels, Lévy processes, and natural image statistics
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
The monogenic curvature scale-space
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Uniqueness Results for Image Reconstruction from Features on Curves in α-Scale Spaces
Journal of Mathematical Imaging and Vision
Texture classification based on BIMF monogenic signals
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Full length article: Singular integrals, scale-space and wavelet transforms
Journal of Approximation Theory
Hi-index | 0.01 |
In this paper we address the topics of scale-space and phase-based image processing in a unifying framework. In contrast to the common opinion, the Gaussian kernel is not the unique choice for a linear scale-space. Instead, we chose the Poisson kernel since it is closely related to the monogenic signal, a 2D generalization of the analytic signal, where the Riesz transform replaces the Hilbert transform. The Riesz transform itself yields the flux of the Poisson scale-space and the combination of flux and scale-space, the monogenic scale-space, provides the local features phase-vector and attenuation in scale-space. Under certain assumptions, the latter two again form a monogenic scale-space which gives deeper insight to low-level image processing. In particular, we discuss edge detection by a new approach to phase congruency and its relation to amplitude based methods, reconstruction from local amplitude and local phase, and the evaluation of the local frequency.