Niemann H. Pattern Analysis

Springer, 1981, -316 p.This book is devoted to pattern analysis, that is, the automatic construction of a symbolic description for a complex pattern, like an image or connected speech. Pattern analysis thus tries to simulate certain capabilities which go without saying in any human central nervous system. The increasing interest and growing efforts at solving the problems related with pattern analysis are motivated by the challenge of the problem and the expected applications. Potential applications are numerous and result from the fact that data can be gathered and stored by modern devices in ever increasing extent, thus making the finding of particular interesting facts or events in these hosts of data an ever increasing problem.
It was tried to organize the book around one particular view of pattern analysis: the view that pattern analysis requires an appropriate set of processing modules operating on a common data base which contains intermediate results of processing. Although other views are certainly possible, this one was adopted because the author feels that it is a useful idea, because the size of this book had to be kept within reasonable bounds, and because it facilitated the composition of fairly self-contained chapters.
The book is addressed to the scientists working in the field of pattern analysis and to students with some background in pattern recognition in general and, of course, in mathematics and statistics. The material of the book can be covered in a one semester course, perhaps with varying degrees of emphasis. The first chapter gives a general introduction to the topic. The next two chapters treat low-level processing methods which need little, if any, problem specific knowledge. The fourth chapter gives only a very condensed account of numerical classification algorithms. Chapter 5 is devoted to data structures and data bases, and Chap. 6 to control structures. Representation and utilization of problem-specific knowledge is treated in Chap. 7 . The last two short chapters, finally, are concerned with two examples of pattern analysis systems and a guess about future problems.Preprocessing
Simple Constituents
Classification
Data
Control
Knowledge Representation, Utilization, and Acquisition
Systems for Pattern Analysis
Things to Come