Digital Image Processing

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 Parallel Processing in the Video Pipeline.- B.5.2 Processing Windows: Area-of-Interest.- B.5.3 Arithmetic Pipeline Processors.- B.5.4 Filter processors.- B.5.5 Histogram and Feature Extractors.- B.6 Programmable Systems.- B.6.1 Frame Grabbers with Programmable Processors.- B.6.2 Frame Grabbers for Fast PC Bus Systems.- B.6.3 Portable Software Versus Dedicated Hardware.