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Informationen zum Autor Stéphane Marchand-Maillet is affiliated with the Department of Multimedia Communications at Institut Eurecom, Sophia-Antipolis, France - a consortium between academic and industrial partners. Yazid M. Sharaiha received his B.Sc. (Eng) and PhD (1991)from Imperial College, London. He also holds Master degrees in Engineering (1987) and Management Science (1988) from University of California, Berkeley and Imperial College respectively. He was a University Lecturer in Information Management at Imperial College from 1991 to 1997. He is currently a visiting fellow at Imperial College and working in Quantitative Strategies at Morgan Stanley Dean Witter. His research publications and interests include combinatorial optimisation, graph theory, computational geometry, and their applications in image analysis, scheduling and financial modeling. Klappentext Treats the mathematical foundations of binary digital image processing! offering unified theoretical coverage of digital topology! discrete geometry! mathematical morphology! and algorithmic graph theory and their applications in image analysis. Addresses low-level binary image processing! offers detailed reviews of topics in binary digital image processing! and reviews some common applications. Marchand-Maillet is a research and teaching assistant in the department of multimedia communications at Institut Eurecom! France. Zusammenfassung Reviews and analyses the research output in the field of binary image processing. This work includes the basic principles required for binary digital image analysis. It uses the algorithmic approach that addresses problems which find applications beyond binary digital line image processing. It also includes practical applications of this work. Inhaltsverzeichnis Digital topologyDiscrete geometryAlgorithmic graph theoryAcquisition and storageDistance transformationsBinary digital image characteristicsImage thinningSome applications...
