Pattern Recognition of Images and Speech in C++

This work provides an introduction into applications and problems from

the broad field of pattern recognition. It describes basic topics and

the required mathematical background of image and speech processing.

Algorithms and data structures for filtering, feature extraction,

segmentation and classification are discussed, introducing and

demonstrating different C++ concepts. The practice of object-oriented

programming is illustrated by a step-wise development of a complete

class library for image processing.

Part 1 Introductions: pattern recognition; from C to C++; software

development; expressions, statements, functions; classification and

pattern analysis; arrays and pointers; statistics for pattern

recognition; C++ as a better C. Part 2 Object-oriented pattern

analysis: object-oriented programming; classes in C++; intensity images;

inheritance in C++-classes; edge detection and edge images; class

libraries; hierarchy of picture processing objects; spectral features

and speech processing. Part 3 Pattern recognition algorithms: an image

analysis system; synthetic signals and images; filtering and smoothing

signals; histogram algorithms; edge images; line detection algorithms;

chain codes. Appendices: basics of C++; software development tools;

source codes and tools.