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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.
List of Contributors
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
- No. of pages:
- © Academic Press 1981
- 28th September 1981
- Academic Press
- eBook ISBN:
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 analysisspecifically on digital geometry and topology and the accurate measurement of statistical features of digital images in the 1960s and 1970sformed 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.
University of Maryland, College Park, U.S.A.
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