Journals starting with sca

ScaleSpace01 * *Scale Space
* accurate operator splitting scheme for nonlinear diffusion filtering, An
* Adjunctions in pyramids and curve evolution
* Algebraic and PDE approaches for multi-scale image operators with global constraints: reference semi-lattice erosions and levelings
* Bayesian object detection through level curves selection
* Bilateral Filtering and Anisotropic Diffusion: Towards a Unified Viewpoint
* Color differential structure
* Combing porcupine via stereographic direction diffusion
* Complex diffusion processes for image filtering
* Computing optic flow by scale-space integration of normal flow
* Down-scaling for better transform compression
* Exploring nonlinear diffusion: the diffusion echo
* Fast statistical level sets image segmentation for biomedical applications
* Features in scale-space: progress on the 2D 2nd order jet
* Gaussian convolutions: numerical approximations based on interpolation
* Generic multi-scale segmentation and curve approximation method
* Geodesic active contours applied to texture feature space
* Geometry motivated variational segmentation for color images
* Hierarchical segmentation using dynamics of multi-scale color gradient watersheds
* Hierarchies of partitions and morphological segmentation
* Image analysis for using histograms of infinitestimal neighbourhoods
* Image Registration, Optical Flow and Local Rigidity
* Indentation and protrusion detection and its applications
* influence of the g-parameter on feature detection with automatic scale selection, The
* Inverse quantization of digital binary images for resolution conversion
* Inverse scale-space theory for inverse problems
* Morphological tools for robust key region extraction and video shot modeling
* multi-scale feature likelihood map for direct evaluation of object hypotheses, A
* note on two classical shock filters and their asymptotics, A
* On the behavior of spatial critical points under Gaussian blurring
* Polyhedral set operations for 3D discrete object deformation
* Robust multi-scale non-rigid registration of 3D ultrasound images
* Scale-space theories for scalar and vector images
* Scale-spaces, PDE's, and scale invariance
* Scale-time kernels and models
* Segmentation of shapes
* Segmentation-free estimation of length distributions using sieves and RIA morphology
* Selection of Optimal Stopping Time for Nonlinear Diffusion Filtering
* Total variation based oversampling of noisy images
* Tracking of multi-state hand models using particle filtering and a hierarchy of multi-scale image features
* Using the vector distance functions to evolve manifolds of arbitrary codimension
* What do features tell about images?
42 for ScaleSpace01

ScaleSpace03 * *Scale Space
* Alpha Scale Spaces on a Bounded Domain
* Approximating Non-linear Diffusion
* Basic Morphological Operations, Band-Limited Images and Sampling
* Common Viewpoint on Broad Kernel Filtering and Nonlinear Diffusion, A
* Comparing Objective and Subjective Quality Results for Compression Pre-processing with Non-linear Diffusion
* Complete System of Measurement Invariants for Abelian Lie Transformation Groups, A
* Computation of Generic Features for Object Classification
* Content Based Image Retrieval Using Multiscale Top Points: A Feasibility Study
* Continuous Curve Matching with Scale-Space Curvature and Extrema-Based Scale Selection
* Convex Colour Sieves
* Correspondences between Wavelet Shrinkage and Nonlinear Diffusion
* Detection and Localization of Random Signals
* Efficient and Consistent Recursive Filtering of Images with Reflective Extension
* Efficient Beltrami Flow Using a Short Time Kernel
* Equivalence Results for TV Diffusion and TV Regularisation
* Error-Bounds on Curvature Estimation
* Evolution of the Critical Points in the Curvature and Affine Morphological Scale Spaces
* Explanation for the Logarithmic Connection between Linear and Morphological Systems, An
* Extrema Edges, The
* Families of Generalised Morphological Scale Spaces
* Fast Computation of Scale Normalised Gaussian Receptive Fields
* Feature Coding with a Statistically Independent Cortical Representation
* Fully Automatic Segmentation of MRI Brain Images Using Probabilistic Anisotropic Diffusion and Multi-scale Watersheds
* Gaussian Scale Space from Insufficient Image Information
* Generalized Discrete Scale-Space Formulation for 2-D and 3-D Signals, A
* Image Decomposition Application to SAR Images
* Image Reconstruction from Multiscale Critical Points
* Interest Point Detection and Scale Selection in Space-Time
* Iris Feature Extraction and Matching Based on Multiscale and Directional Image Representation
* Least Squares and Robust Estimation of Local Image Structure
* Many-to-Many Matching of Scale-Space Feature Hierarchies Using Metric Embedding
* MAPS: Multiscale Attention-Based PreSegmentation of Color Images
* Markov Random Field Approach to Multi-scale Shape Analysis, A
* Maximum Principle for Beltrami Color Flow, The
* Mode Estimation Using Pessimistic Scale Space Tracking
* Monogenic Scale Space on a Bounded Domain and Its Applications, The
* Multiphase Level Set Framework for Motion Segmentation, A
* Multiresolution Approach to Biomedical Image Segmentation with Statistical Models of Appearance
* On Manifolds in Gaussian Scale Space
* On the Number of Modes of a Gaussian Mixture
* PDE Based Shape from Specularities
* Properties of Brownian Image Models in Scale-Space
* Real-Time Scale Selection in Hybrid Multi-scale Representations
* Regularity Classes for Locally Orderless Images
* Regularizing a Set of Unstructured 3D Points from a Sequence of Stereo Images
* Scale Space for Contour Registration Using Minimal Surfaces, A
* Scale-Space Image Analysis Based on Hermite Polynomials Theory
* Scale-Space on Image Profiles about an Object Boundary
* Segmentation of Coarse and Fine Scale Features Using Multi-scale Diffusion and Mumford-Shah
* Shape Description Using Gradient Vector Field Histograms
* Temporal Scale Spaces
* Temporal Structure Tree in Digital Linear Scale Space
* Texture Classification through Multiscale Orientation Histogram Analysis
* Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling
* Using the Complex Ginzburg-Landau Equation for Digital Inpainting in 2D and 3D
* Variational Dense Motion Estimation Using the Helmholtz Decomposition
57 for ScaleSpace03

ScaleSpace05 * *Scale Space
* Active Shape Models and Segmentation of the Left Ventricle in Echocardiography
* Analysis of Variational Alignment of Curves in Images, An
* Contrast Invariant Approach to Motion Estimation, A
* Denoising of Audio Data by Nonlinear Diffusion
* Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time
* Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation
* Discrete Representation of Top Points via Scale Space Tessellation
* Enhancing Images Painted on Manifolds
* Estimation of the Optimal Variational Parameter via SNR Analysis
* Figure Field Analysis of Linear Scale-Space Image
* Four-Pixel Scheme for Singular Differential Equations, A
* Geometric Formulation of Gradient Descent for Variational Problems with Moving Surfaces, A
* Geometry of Isophote Curves
* GET: The Connection Between Monogenic Scale-Space and Gaussian Derivatives
* Image Deblurring in the Presence of Salt-and-Pepper Noise
* Image Features and the 1-D, 2nd Order Gaussian Derivative Jet
* Isometric Embedding of Facial Surfaces into S3
* Linear Image Reconstruction Framework Based on Sobolev Type Inner Products, A
* Matrix-Valued Filters as Convex Programs
* Multi-scale Singularity Trees: Soft-Linked Scale-Space Hierarchies
* Multigrid Approach to Image Processing, A
* Multiscale Active Contours
* Mumford-Shah Model Based Man-Made Objects Detection from Aerial Images
* New Technique for Local Symmetry Estimation, A
* Non-convex PDE Scale Space, A
* On a Kernels, LÚvy Processes, and Natural Image Statistics
* On Image Reconstruction from Multiscale Top Points
* On Similarity-Invariant Fairness Measures
* PDE-Based Deconvolution with Forward-Backward Diffusivities and Diffusion Tensors
* Perfusion Analysis of Nonlinear Liver Ultrasound Images Based on Nonlinear Matrix Diffusion
* Phase Contrast MRI Segmentation Using Velocity and Intensity
* Piecewise Constant Level Set Methods and Image Segmentation
* Regularity and Scale-Space Properties of Fractional High Order Linear Filtering
* Relations Between Higher Order TV Regularization and Support Vector Regression
* Relativistic Scale-Spaces
* Retinex by Two Bilateral Filters
* Riesz-Transforms Versus Derivatives: On the Relationship Between the Boundary Tensor and the Energy Tensor
* Scale Invariant Texture Analysis Using Multi-scale Local Autocorrelation Features
* Scale Space Method for Volume Preserving Image Registration, A
* Scale-Space Analysis of a Contour Figure Using a Crystalline Flow, A
* Scale-Space Generation via Uncertainty Principles
* Skeletons of 3D Shapes
* Sparse Finite Element Level-Sets for Anisotropic Boundary Detection in 3D Images
* Stabilised Nonlinear Inverse Diffusion for Approximating Hyperbolic PDEs
* Stability of Top-Points in Scale Space
* Stochastic Structure of Images, The
* Structure of Shapes Scale Space Aspects of the (pre-) Symmetry Set, The
* Texture Mapping via Spherical Multi-dimensional Scaling
* Total Variation Motion Adaptive Deinterlacing Scheme, A
* Tree Edit Distances from Singularity Theory
* Two-Step Area Based Method for Automatic Tight Segmentation of Zona Pellucida in HMC Images of Human Embryos, A
* Variational Image Registration Approach Based on Curvature Scale Space, A
* Vortex and Source Particles for Fluid Motion Estimation
54 for ScaleSpace05

ScaleSpace97 * *Scale Space
* 3D Shape Representation: Transforming Polygons into Voxels
* Directional Anisotropic Diffusion Applied to Segmentation of Vessels in 3D Images
* Dynamic Scale-Space Theories
* Extraction of Structure Feature from Three-Dimensional Object by Scale-Space Analysis
* Fast Adaptive Alternatives to Nonlinear Diffusion in Image Enhancement: Greens Function Approximators and Nonlocal Filters
* Following Feature Lines Across Scale
* From High Energy Physics to Low Level Vision
* Generating Stable Structure Using Scale-Space Analysis with Non-Uniform Gaussian Kernels
* Generic Events for the Gradient Squared with Application to Multi-Scale Segmentation
* Images Loci Are Ridges in Geometric Spaces
* Intrinsic Scale Space for Images on Surfaces: The Geodesic Curvature Flow
* Invertible Orientation Bundles on 2D Scalar Images
* Level Set Methods and the Stereo Problem
* Linear Spatio-Temporal Scale-Space
* Multi-Scale Active Shape Description
* Multi-Scale Contour Segmentation
* Multi-Scale Detection of Characteristic Figure Structures Using Principal Curvatures of Image Gray-Lever Profile
* Multi-Scale Line Filter with Automatic Scale Selection Based on the Hessian Matrix for Medical Image Segmentation, A
* Multi-Spectral Probabilistic Diffusion Using Bayesian Classification
* Multiscale Measures in Linear Scale-Space for Characterizing Cerebral Functional Activations in 3D PET Difference Images
* New Framework for Hierarchical Segmentation Using Homogeneity Analysis, A
* On Automatic Selection of Temporal Scales in Time-Causal Scale-Space
* On Generalized Entropies and Scale-Space
* On the Duality of Scalar and Density Flows
* On the Handling of Spatial and Temporal Scales in Feature Tracking
* Reconstruction of Self-Similar Functions from Scale-Space
* Recursive Separable Schemes for Nonlinear Diffusion Filters
* Reliable Classification of Chrysanthemum Leaves Through Curvature Scale Space
* review of Nonlinear Diffusion Filtering, A
* Robust Anisotropic Diffusion
* Scale Selection Using Three Different Representations for Images
* Scale Space Analysis by Stabilized Inverse Diffusion Equations
* Scalespace Approach to Shape Similarity, A
* Slowed Anisotropic Diffusion
* Some Morphological Scale-Space Filters and Their Properties
* Supervised Diffusion Parameter Selection for Processing SPECT Brain Images
* Thin Nets Extraction Using a Multi-scale Approach
38 for ScaleSpace97

ScaleSpace99 * *Scale Space
* active contour model without edges, An
* Adaptive Finite Element Method for Large Scale Image Processing, An
* Adaptive Local Smoothing for Contour Figure Approximation, An
* Applications of Locally Orderless Images
* Blur and Disorder
* Calculations on Critical Points under Gaussian Blurring
* Color Invariant Determination of Material Changes in Reflection and Transmission of Light
* Compact and Multiscale Image Model Based on Level Sets, A
* Computation of Ridges via Pullback Metrics from Scale Space
* Curvature Scale Space with Affine Length Parametrisation
* Decomposition and Hierarchy: Efficient Structural Matching of Large Multi-scale Representations
* Detection of Critical Structures in Scale Space
* Discrete Mean Curvature Flow
* Edges as Outliers: Anisotropic Smoothing using Local Image Statistics
* Fast geodesic active contours
* Fast Marching to Moving Object Location
* Geometric Functional for Gradient Approximation, A
* Geometric Multiscale Representation of Numerical Images
* Geometric-Variational Approach for Color Image Enhancement and Segmentation
* Global Convergence Rates of Nonlinear Diffusion for Time-Varying Images
* Hausdorff Dimension and Scale-Space Normalisation of Natural Images, The
* Hierachical Density Non-rigid Object Analysis
* Lattice Boltzmann Models for Nonlinear Diffusion Filtering
* Level Set Model for Image Classification, A
* Maximal Scale Ridge: Incorporating scale into the ridge definition, The
* Morphing Active Contours
* Morphological Scale Space and Mathematical Morphology
* Morphological scale-space representation with levelings
* Multiscale Morphological Segmentations based on Watershed, Flooding, and Eikonal PDE
* Multiscale Taylor Series Approaches to Optic Flow and Stereo: A Generalization of Optic Flow Under the Aperture, A
* Negative Results for Multilevel Preconditioners in Image Deblurring
* new time dependent model based on level set motion for nonlinear deblurring and noise removal, A
* Nonlinear Anisotropic Diffusion in Three-Dimensional Electron Microscopy
* Nonlinear PDEs and Numerical Algorithms for Modeling Levelings and Reconstruction Filters
* Numerical Solution Schemes for Continuous-Scale Morphology
* Polygon Evolution by Vertex Deletion
* Proper scales of shapes - A curved scale space
* Qualitative Multiscale Feature Hierarchies for Object Tracking
* Reconciling Distance Functions and Level Sets
* Region Tracking on Level-Sets Methods
* Riemannian Drums, Anisotropic Curve Evolution, and Segmentation
* Scale Space Range Image Aspect Graph
* Scale space technique for word segmentation in handwritten manuscripts
* Scale-Space Approach for Deformable Contour Optimization, A
* Scale-Space Approach to Nonlocal Optical Flow Calculations, A
* Scale-Space from a Level Lines Tree
* Scale-Space Properties of Regularization Methods
* Scales in natural images and a consequence on their BV norm
* Segmenting by Compression using Linear Scale-Space and Watersheds
* Self-similarity of Noise in scale-space
* Stochastic Scale Space for Multiscale Image Representation, A
* Tracing of Curvilinear Structures in 3D Images with Single Scale Diameter Measurement
* Unfolding the Cerebral Cortex Using Level Set Methods
* Windows-based User Friendly System for Image Analysis with Partial Differential Equations, A
55 for ScaleSpace99

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