Dietrich Paulus Livres

This book demonstrates the efficiency of the C++ programming language in the realm of pattern recognition and pattern analysis. It introduces the basics of software engineering, image and speech processing, as well as fundamental mathematical tools for pattern recognition. Step by step the C++ programming language is discribed. Each step is illustrated by examples based on challenging problems in image und speech processing. Particular emphasis is put on object-oriented programming and the implementation of efficient algorithms. The book proposes a general class hierarchy for image segmentation. The essential parts of an implementation are presented. An object-oriented system for speech classification based on stochastic models is described.

Parts of this text were used for several years by students in a one~term under graduate course in computer science. The students had to prepare projects in small groups (2~4 students).1 This book emphasizes practical experience with image processing. It offers a comprehensive study of • image processing and image analysis, • basics of speech processing, • object~oriented programming, • software design, • and programming in C++. The book is divided into four parts. In the first part we introduce image processing, image analysis, programming tools, and the basics of C++. In the second part we describe object~oriented programming in general and the possible applications of object~oriented concepts in C++. Several appli cations of object~oriented programming for image processing are discussed as well. The new features of C++ are introduced entirely through the use of examples. We cover the proper representation of the data that is a result of pattern analysis as well. The third part describes a complete system for image segmentation. Some of the material covered refers to the exercises found in the first and second parts: this verifies our belief that an image segmentation system of programs can be developed while simultaneously acquainting others to C++. We combine the data representation described in the second part with the algorithms that use and manipulate them here in the third part.

Inhaltsverzeichnis1 Grundlagen.1 Einleitung.2 Ikonik und Symbolik.3 Objektorientierte Bildverarbeitung.2 Objekte für die ikonische Bildverarbeitung.4 Rasterbilder.5 Pixelnahe Darstellungsformen.6 Atomare Objekte.7 Relationen.8 Darstellung von Segmentierungsergebnissen.3 Wissensbasierte Bildanalyse.9 Höhere Dimensionen.10 Wissen, Modelle, Modellvergleich.11 Graphen in Ikonik und Symbolik.4 Realisierung.12 Verhältnis zu anderen Systemen.13 Ergebnisse und Implementierung.A.1 Die Struktur von NIHCL.A.2 Das Verhältnis von NIHCL und ?????.A.3 Externe Repräsentation.A.4 Verwaltungsinformation.A.5 Die Klasse XDR.A.6 XDR für Objekte der Bildverarbeitung.A.7 Beispiel für die Programmierung von XDR.