Pattern Recognition and Image Processing in C++

Paulus, Dietrich W.R.; Hornegger, Joachim

ISBN 10: 3528054913 / ISBN 13: 9783528054915

Published by Vieweg+Teubner Verlag, 1995

About this Item

Provides an introduction to applications and problems from the field of pattern recognition. Basic topics and the mathematical background of image and speech processing are described. Algorithms and data structures for filtering, feature extraction, segmentation and classification are discussed. Series: Vieweg Advanced Studies in Computer Science. Num Pages: 369 pages, references, figures, tables, indexes. BIC Classification: UMX; UYQP; UYS; UYT; UYU. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 230. . . 1995. Softcover reprint of the original 1st ed. 1995. paperback. . . . .

Seller Inventory # V9783528054915

Bibliographic Details

• Title: Pattern Recognition and Image Processing in C++
• Publisher: Vieweg+Teubner Verlag
• Publication Date: 1995
• Language: English
• ISBN 10: 3528054913
• ISBN 13: 9783528054915
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.