Digital Image Processing: Concepts, Algorithms, and Scientific Applications

1 Introduction.- 2 Image Formation and Digitization.- 3 Space and Wave Number Domain.- 4 Pixels.- 5 Neighborhoods.- 6 Mean and Edges.- 7 Local Orientation.- 8 Scales.- 9 Texture.- 10 Segmentation.- 11 Shape.- 12 Classification.- 13 Reconstruction from Projections.- 14 Motion.- 15 Displacement Vectors.- 16 Displacement Vector Fields.- 17 Space-Time Images.- A Mathematical Preliminaries.- A.1 Matrix Algebra.- A.1.1 Definitions.- A.1.2 The Overdetermined Discrete Inverse Problem.- A.1.3 Suggested Further Readings.- A.2 Fourier Transformation.- A.2.1 Definition.- A.2.2 Properties of the Fourier Transform.- A.2.3 Important Fourier Transform Pairs.- A.2.4 Suggested Further Readings.- A.3 Discrete Fourier transform (DFT).- A.3.1 Definition.- A.3.2 Important Properties.- A.3.3 Important Transform Pairs.- A.3.4 Suggested Further Readings.- B PC-Based Image Processing Systems.- B.1 Overview.- B.2 Video Input.- B.3 Frame Buffer.- B.4 Video Output.- B.5 Dedicated Image Processing Hardware.- B.5.1 Processing Area-of-Interest.- B.5.2 Arithmetic Pipeline Processors.- B.5.3 Filter processors.- B.5.4 Histogram and Feature Extractors.- B.5.5 Parallel Processing in the Video Pipeline.- B.6 Programmable Systems.

Since the first edition of "Digital Image Processing" was published in 1991 it has found its way to many desks and classrooms. The book offers an integral view of image processing from physical process of image acquisition to the extraction of the data of interest. This is also revealed in the renewed structure of the seventh edition, dividing the contents in three major parts: Image Acquisition, Image Processing, and Image Analysis. In particular, the Image Acquisition Part is strengthened by a new chapter on Sensors taking into account the technological improvements of recent years. A reference of fundamental mathematics is given in the Appendix.

The book supplements the discussion of the general concepts with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms. Each chapter includes exercises that help you to test your understanding, train your skills, and introduce you to real-world image processing tasks. An important part of the exercises is a wealth of interactive computer exercises, which cover all topics of this textbook. These exercises are performed with the image processing software heurisko which is included on the accompanying CD-ROM. In this way you can get own practical experience with almost all topics and algorithms covered by this book.