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Pattern Recognition and Image Processing in C++

  • Book
  • © 1995

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Authors:
  1. Dietrich W. R. Paulus
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  2. Joachim Hornegger
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Table of contents (23 chapters)

  1. Pattern Recognition Algorithms

    1. An Image Analysis System

      • Dietrich W. R. Paulus, Joachim Hornegger
      Pages 239-252

    2. Synthetic Signals and Images

      • Dietrich W. R. Paulus, Joachim Hornegger
      Pages 253-262

    3. Filtering and Smoothing Signals

      • Dietrich W. R. Paulus, Joachim Hornegger
      Pages 263-277

    4. Histogram Algorithms

      • Dietrich W. R. Paulus, Joachim Hornegger
      Pages 278-286

    5. Edge Images

      • Dietrich W. R. Paulus, Joachim Hornegger
      Pages 287-299

    6. Line Detection Algorithms

      • Dietrich W. R. Paulus, Joachim Hornegger
      Pages 300-314

    7. Chain Codes

      • Dietrich W. R. Paulus, Joachim Hornegger
      Pages 315-320

  2. Back Matter

    Pages 321-360
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Keywords

About this book

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.

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