*MDSG94*
* ***Shape in Picture: Mathematical Description of Shape in Grey-level Images**

* Blind Approximation of Planar Convex Shapes

* Can Categorical Shape Theory Handle Grey-level Images?

* Classical and Fuzzy Differential Methods in Shape Analysis

* Conic Primitives for Projectively Invariant Representation of Planar Curves

* Contour Texture and Frame Curves for the Recognition of Non-Rigid Objects

* Discrete Stochastic Growth Models for Two-Dimensional Shapes

* Elements of a Fuzzy Geometry for Visual Space

* Equivariant Dynamical Systems: a Formal Model for the Generation of Arbitrary Shapes

* Exploring the Shape Manifold: the Role of Conservation Laws

* Fractal Surfaces, Multiresolution Analyses, and Wavelet Transforms

* Geometry-Based Image Segmentation Using Anisotropic Diffusion

* Hierarchical Shape Analysis in Grey-level Images

* Hierarchical Shape Representation for Image Analysis

* Image Representation Using Affine Covariant Coordinates

* Images: Regular Tempered Distributions

* Inference of Stochastic Graph Models for 2-D and 3-D Shapes

* Interpolation in Multiscale Representations

* Introduction to Categorical Shape Theory, with Applications in Mathematical Morphology

* Irregular Curve Pyramids

* Khalimsky Line as a Foundation for Digital Topology, The

* Learning Shape Classes

* Local and Multilocal Scale-Space Description

* Manifold Shape: from Differential Geometry to Mathematical Morphology

* Mathematical Morphology as a Tool for Shape Description

* Model-based Bottom-Up Grouping of Geometric Image Primitives

* Morphological Area Openings and Closings for Grey-scale Images

* Multiresolution Shape Description by Corners

* Neural Processing of Overlapping Shapes

* New Concept for Digital Geometry, A

* On Boundaries and Boundary Crack-Codes of Multidimensional Digital Images

* On Information Contained in the Erosion Curve

* On Negative Shape

* On the Relationship Between Surface Covariance and Differential Geometry

* Overview of the Theory and Applications of Wavelets, An

* Performance in Noise of a Diffusion-based Shape Descriptor

* Polygonal Harmonic Shape Characterization

* Recognition of Affine Planar Curves Using Geometric Properties

* Recognition of Shapes from a Finite Series of Plane Figures

* Recognizing 3-D Curves from a Stereo Pair of Images: A Semi-differential Approach

* Scale-Space Behaviour and Invariance Properties of Differential Singularities

* Scale-Space for N-Dimensional Discrete Signals

* Shape Description and Classification Using the Interrelationship of Structures at Multiple Scales

* Shape Theory: an ANR-Sequence Approach

* Statistical Shape Methodology in Image Analysis

* Studying Shape Through Size Functions

* Theoretical Approaches to N-Dimensional Digital Objects

* Topological Foundations of Shape Analysis

* Towards a Morphological Scale-Space Theory

49 for MDSG94

Last update: 7-Nov-19 16:02:47

Use price@usc.edu for comments.