## Automatic Generation of Morphological Set Recognition AlgorithmsThe purpose of this book is to study the process of image development, to see how it may be formalized and partially or fully automated. The book examines many of the difficult theoretical issues associated with this process, and then describes a working system which can automatically find solutions to simple image processing patterns in a reasonably efficient manner. The most important features of the book are that it links together image processing with AI; it is the first book to apply automatic programming techniques and expert systems to the problems of image algorithm development and mathematical morphology; it provides a concise yet fairly complete and readable introduction to mathematical morphology; it uses algebraic languages to express image algorithms; it describes the image algorithm development process from a human, as well as from a formal, viewpoint; the automatic search described achieves a 300:1 speedup over an equivalent exhaustive search. Readers can expect to derive a better understanding of mathematical morphology, and of the process and difficulties associated with image algorithm development. |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

Introduction | 16 |

List of Figures | 17 |

Review of Mathematical Morphology | 31 |

Copyright | |

8 other sections not shown

### Other editions - View all

Automatic Generation of Morphological Set Recognition Algorithms Robert C. Vogt Limited preview - 2012 |

Automatic Generation of Morphological Set Recognition Algorithms Robert C. Vogt No preview available - 2011 |

### Common terms and phrases

63 NOTIMAGE T_5 A-Inf A-Sup accept and reject accept mask accept set ADDIMAGES T_2 T_l analyzer anti-extensive operator band operators base images binary image BITMERGE C4PL coded images compute condition COVER 63 criteria current subproblem defined described DIFFIMAGES T_2 T_5 disk display distributions erosion and dilation evaluation Figure foreground grey level images ia-expr image processing implementation INTERSECT QUOTE Lisp LOADCODE MAG4 mathematical morphology MATTE1 MINIMAGES T_l T_5 Minkowski addition morphological operations Octagon operator expert original image parameters partial algorithm partial solutions Particle Band Pdisk pixels possible predicate program transformations QUOTE T_7 R-Inf R-Sup reject masks reject set REM system represent residue result sequence set recognition shape space square stelt structuring elements T_2 ADDIMAGES T_2 T_2 APPLY T_2 SLICE T_2 T_l FALSE T_5 DIFFIMAGES T_2 T_5 OUTMSK T_l APPLY T_l MINIMAGES T_l tests threshold band threshold operation types voxels WINDOW 64