Image Modeling - 1st Edition - ISBN: 9780125973205, 9781483275604

Image Modeling

1st Edition

Editors: Azriel Rosenfeld
eBook ISBN: 9781483275604
Imprint: Academic Press
Published Date: 28th September 1981
Page Count: 460
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Description

Image Modeling compiles papers presented at a workshop on image modeling in Rosemont, Illinois on August 6-7, 1979.

This book discusses the mosaic models for textures, image segmentation as an estimation problem, and comparative analysis of line-drawing modeling schemes. The statistical models for the image restoration problem, use of Markov random fields as models of texture, and mathematical models of graphics are also elaborated. This text likewise covers the univariate and multivariate random field models for images, stochastic image models generated by random tessellations of the plane, and long crested wave models. Other topics include the Boolean model and random sets, structural basis for image description, and structure in co-occurrence matrices for texture analysis.

This publication is useful to specialists and professionals working in the field of image processing.

Table of Contents


List of Contributors

Preface

Mosaic Models for Textures

Image Segmentation as an Estimation Problem

Toward a Structural Textural Analyzer Based on Statistical Methods

Stochastic Boundary Estimation and Object Recognition

Edge Detection in Textures

Comparative Analysis of Line-Drawing Modeling Schemes

Statistical Models for the Image Restoration Problem

Syntactic Image Modeling Using Stochastic Tree Grammars

Edge and Region Analysis for Digital Image Data

The Use of Markov Random Fields as Models of Texture

On the Noise in Images Produced by Computed Tomography

Mathematical Models of Graphics

Nonstationary Statistical Image Models (and Their Application to Image Data Compression)

Markov Mesh Models

Univariate and Multivariate Random Field Models for Images

Image Models in Pattern Theory

A Survey of Geometrical Probability in the Plane, with Emphasis on Stochastic Image Modeling

Stochastic Image Models Generated by Random Tessellations of the Plane

Long Crested Wave Models

The Boolean Model and Random Sets

Scene Modeling: A Structural Basis for Image Description

Pictorial Feature Extraction and Recognition via Image Modeling

Finding Structure in Co-Occurrence Matrices for Texture Analysis

Details

No. of pages:
460
Language:
English
Copyright:
© Academic Press 1981
Published:
Imprint:
Academic Press
eBook ISBN:
9781483275604

About the Editor

Azriel Rosenfeld

The late Azriel Rosenfeld was a tenured research professor, a distinguished university professor, and the Founding Director of the Center for Automation Research at the University of Maryland in College Park, where he also held affiliate professorships in the departments of computer science, electrical engineering, and psychology. Dr. Rosenfeld was widely regarded as the leading researcher in the world in the field of computer image analysis. Over a period of nearly 40 years, he made fundamental and pioneering contributions to nearly every area of that field. He wrote the first textbook in the field, was founding editor of its first journal, and was co-chairman of its first international conference. He published over 30 books and over 600 book chapters and journal articles, and directed nearly 60 Ph.D. dissertations. Dr. Rosenfeld's research on digital image analysis—specifically on digital geometry and topology and the accurate measurement of statistical features of digital images in the 1960s and 1970s—formed the foundation for a generation of industrial vision inspection systems that have found widespread applications from the automotive to the electronics industry. He was a Fellow of the IEEE and the Washington Academy of Sciences; a Founding Fellow of the AAAI, the ACM, and the IAPR. Among his numerous awards and honors are the IEEE's Emanuel Piore Award, its Third Millennium Medal, and its Distinguished Service Award for Lifetime Achievement in Computer Vision and Pattern Recognition.

Affiliations and Expertise

University of Maryland, College Park, U.S.A.