## Handbook of Computer Vision and Applications: Signal processing and pattern recognition, Volume 2CD-ROM files contain complete text of all three print vols. in the Adobe Acrobat portable document file format (PDF), as well as hyperlinks to figures, tables, etc. and between the index and the text. Also included are hyperlinks to movies, interactive 3-D models, demonstration software and additional reference and image materials not contained in the print version. |

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### Contents

Continuous and Digital Signals | 10 |

Spatial and Fourier Domain | 36 |

Multiresolutional Signal | 69 |

30 other sections not shown

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### Common terms and phrases

algorithm analysis aperture problem applications approach basic camera cell Chapter coefficients complex components computer vision convolution coordinates corresponding defined definition denotes derivative filter diffusion dilation direction discrete distance edge edge detection eigenvalues equation error estimation example factor Figure filter mask flow field Fourier domain Fourier transform fuzzy sets Gabor filter Gaussian geometric given gradient graph gray values grid image processing input interpolation irradiance kernel lattice least squares linear mapping mask matrix measure method morphological motion multiplication neighborhood neighbors node noise nonlinear normalized object operator optical flow optimization orientation parameters Pattern Recognition pixels plane point spread function problem Proc properties reconstruction recursive regions relation representation sampling scale space Section segmentation sequence shape signal processing smoothing solution spatial stereo structure tensor surface symmetry techniques texture theorem tion transfer function vector velocity vertices volume Voronoi diagram voxel wave number zero