*PRIP77*
* ***Pattern Recognition and Image Processing**

* Application of Line and Character Recognition in Cartography, An

* Automatic Verification of Signatures by Means of Acceleration

* Computing the Shape Hull of Points in the Plane

* Contour Extraction Problem and Biomedical Applications, The

* Effectiveness of Textural Features for Classification of Aerial Multispectral Images

* Graph-Theoretic Approach to Image Segmentation, A

* Image Analysis in Paper Manufacturing

* Image Segmentation Using Texture and Gray Level

* Iterative Methods in Image Analysis

* Locating Straight Line Edge Segments in Outdoor Scenes

* Picture Understanding by Machine via Textural Feature Extraction

* Pyramid Model for Binary Picture Complexity, A

* Shape Description using Weighted Symmetric Axis Features

* Shape Description via the Use of Critical Points

* Shape Matching Using Relaxation Techniques

* Syntactic Analysis and Description of Stroke-Based Shapes

* Syntactic Pattern Recognition of Shape

* What One Can See on the Earth from Different Altitudes: A Hierarchical Control Structure in Computer Vision

19 for PRIP77

*PRIP78*
* ***Pattern Recognition and Image Processing**

* Adaptive Image Segmentation Using Prototype Similarity

* Analysis of Probabilistic Relaxation Labeling Processes

* Analysis, synthesis, and Evaluation of Local Measures for Discrimination and Segmentation of Textured Regions, The

* Application of the Generalized Chain Coding Scheme to Map Data Processing

* Arrangements, Homomorphisms, and Discrete Relaxation

* Elements of a Structural Model of Texture

* Encoding Techniques for Efficient Similarity Retrieval from Pictorial Databases

* Fast Two-Dimensional Median Filtering Algorithm, A

* General Spatial Data Structure, A

* Hierarchical Relaxation for Shape Analysis

* Hierarchical Relaxation System for Line Labeling and Grouping, A

* Identification of Object Symmetry from Multiple Views

* Improved Algorithm to Check for Polygon Similarity, An

* Maximum Likelihood Framework for Boundary Estimation, A

* Measure of Scene Content, A

* Numerical Computations of Moment Invariants for Scene Analysis

* Object/Background Segmentation in FLIR Imagery

* Program for Describing Complex Three-Dimensional Objects Using Generalized Cylinders as Primitives, A

* Scene Representation Using the Adjacency Matrix and Sampled Shapes of Regions

* Sequential Shape Feature Extraction from Line Drawings

* Survey of the Hough Transform and Its Extensions for Curve Detection, A

* Texture Analysis Using Generalized Co-Occurrence Matrices

* To Extract a Connected Object of Arbitrary Shape from its Background by Decision Tree Method

* Towards Design of a Natural Picture Description Language

25 for PRIP78

*PRIP79*
* ***Pattern Recognition and Image Processing**

* Design of Composite Classifier Systems in Imperfectly Supervised Environments

* Dynamic Model for Image Registration, A

* Edge Smoothing

* Evaluation of Edge Operators Using Relative and Absolute Grading

* Experiments in Dynamic Segmentation

* Feature Extraction for Texture Discrimination

* Generalized Cylinders from Parallel Slices

* Generation of 3D Surface Descriptions from Images of Pattern Illuminated Objects

* Global Shape Decomposition Using the k-Syntactic Similarity Approach

* Implementation, Interpretation, and Analysis of a Suboptimal Boundary Finding Algorithm

* Map-Guided Interpretation of Remotely-Sensed Data

* Medial Axis of a Coarse Binary Image Using Boundary Smoothing, The

* Modular Computer Vision System for Picture Segmentation, A

* Multilevel Array Grammars for Generating Texture Scenes

* New Probabilistic Relaxation Scheme, A

* Object Location in Computed Tomography Images Using Global Local Segmentation

* Object Recognition by Three Dimensional Moment Invariants

* On Improving Line Detection in Noisy Images

* Regionalization of Image Data Using Surface Approximation

* Scene Labeling: An Optimization Approach

* Segmentation

* Segmentation of Solid Objects Using Global and Local Edge Coincidence

* Segmentation, Evaluation, and Natural Scenes

* Skeletons from Sequential Boundary Data

* Some Recent Developments in Texture Analysis

* Stochastic Texture Fields Synthesis from a Priori Given Second Order Statistice

* Strip Trees: A Hierarchical Representation for Map Features

* Structural Shape Description and Matching

* Technique for Comparing Curves, A

* Texture Image Segmentation Using Local Extrema

* Three-Dimensional Shape Analysis Using Local Shape Descriptors

* Toward a Set of Statistical Features Which Measure Visually Perceivable Qualities of Textures

* Use of Incremental Curvature for Describing and Analyzing Two-Dimensional Shape

34 for PRIP79

*PRIP81*
* ***Pattern Recognition and Image Processing**

* Adaptive DPCM Algorithm for Predicting Contours in NTSC Composite Video Signals, An

* Adaptive Transform Image Data Compression Scheme Incorporating Pattern Recognition Procedures, An

* Anisotropic Filtering Operations for Image Enhancement and Their Relation to the Visual System

* Augmented Relaxation Labeling and Dynamic Relaxation Labeling

* Chord Distributions for Shape Matching

* Comparing Orthonormal Matrices for Two-Dimensional Image Transform Coding by Means of the Gain Distortion Function

* Constraints on Optical Flow Computation

* Contextual Classification in PASM

* Detecting Object Orientation from Surface Normals

* Detection and Segmentation of Blobs in Infrared Images, The

* Determination of Displacement Vector Fields for General Camera Motions

* Determining the Instantaneous Direction of Motion from Optical Flow Generated by a Curvilinearly Moving Observer

* Digital Edge, The

* Elimination of Seams from Photomosaics

* Estimating 3-D Motion Parameters of a Rigid Planar Patch I

* Facet Model Region Growing Algorithm, A

* Flexible Parallel Thinning Algorithm, A

* General Scheme for Signal Restoration with Application to Picture Processing, A

* Image Data compression with the Laplacian Pyramid

* Image Registration by Matching Relational Structures

* Locating Objects under Different Conditions: An Example in Aerial Image Understanding

* Matching Three-Dimensional Models

* Motion and Image Differencing

* Motion Detection Using Hough Techniques

* Multiple Level Representations for Texture Description

* Neighbor Finding in Quadtrees

* Normalized Quadtrees with Respect to Translations

* Occluding Contours in Dynamic Scenes

* Occlusion Analysis in Time-Varying Imagery

* On Classifying Time-Varying Events

* On the Correlation Structure of Random Field Models of Images and Textures

* On the Derivation of 3-D Rigid Point Configurations from Image Sequences

* Parallel Thinning Operations for Digital Binary Images

* Recognition in Noisy Environments: System Structure and Strategies

* Recognition of Spatial Point Patterns

* Reconstruction of Three-Dimensional Motions from Image Sequences

* Recursive Generation of Hierarchical Data Structures for Multidimensional Digital Images

* Relaxation Labeling Using Staged Updating

* Representation of a Region as a Forest of Quad-Trees

* Segmentation of Textured Dynamic Scenes

* Shape Analysis of Segmented Objects Using Moments

* Synthetic Generation and Estimation in Random Field Models of Images

* Textural Anisotropy Features for Texture Analysis

* Texture Discrimination Using Region Based Primitives

* Texture Simulation Using a Best-Fit Model

* Texture Synthesis Using a Bidimensional Markov Model

* Three-Dimensional Segmentation Using the Gaussian Image and Spatial Information

* Two-Stage Method of Fitting Conic Arcs and Straight Line Segments to Digitized Contours, A

* Visual Interpretation of the Motion of Objects in Space

50 for PRIP81

*PRIP82*
* ***Pattern Recognition and Image Processing**

* 3D Parallel Skeletonwise Thinning Algorithm Pictures, A

* Approach for the Direct Computation of the Focus of Expansion, An

* Computer Vision System for Generating Object Descriptions, A

* Computing Motions of Planar Surfaces from Spatio-Temporal Changes in Image Brightness

* Curved Surface Measurement for Robot Vision

* Determining 3-D Motion and Structure of a Rigid Body Using the Spherical Projection

* Development System for Machine Vision, A

* Efficient Synthetic Image Generation of Arbitrary 3-D Objects

* Estimation of Location and Orientation of 3-D Surfaces Using a Single 2-D Image

* Goal Directed Segmentation

* Gradient Based Estimation of Disparity

* Iterative Region Segmentation

* Local Correlation Measures for Motion Analysis: A Comparative Study

* New Connected Components Algorithm for Virtual Memory Computers, A

* New Recursive Method to Detect Moving Objects in a Sequence of Images, A

* Polyhedral Approximation of 3-D Objects Without Holes

* Reasoning About Success and Failure in Aerial Image Understanding

* Recognition of Curvilinear Objects by Matching Relational Structures

* Recognizing and Locating Partially Visible Workpieces: The Local-Feature-Focus Method

* Recognizing Three-Dimensional Objects from Single Perspective Views Using Geometric and Relational Reasoning

* Relaxation Labeling and Evidence Gathering

* Representing Possible Realities for Vision and Manipulation

* Smoothed Local Symmetries and Local Frame Propagation

* Surface Representation and Shape Matching of 3-D Objects

* Temporal Constraints for Estimating Optic Flow

* Three-Dimensional Surface Shape Recognition by Approximating Image Intensity Functions with Quadric Polynomials

* Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved Surfaces

28 for PRIP82

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