Title:

Fundamentals of electronic image processing

Author:

Weeks, Arthur R.

Personal Author:

Publication Information:

Bellingham, Wash., USA : SPIE Optical Engineering Press ; New York : IEEE Press, [1996]

©1996

Physical Description:

xiii, 570 pages : illustrations (some color), maps ; 26 cm.

Language:

English

Subject Term:

ISBN:

9780780334106

9780819421494

Format :

Book

### Available:*

Library | Call Number | Material Type | Home Location | Status | Item Holds |
---|---|---|---|---|---|

Searching... | TA1637 .W44 1996 | Adult Non-Fiction | Central Closed Stacks | Searching... | Searching... |

### On Order

### Summary

### Summary

This book provides the fundamentals of image processing specifically for the practicing engineer or scientist. A large variety of example images is included to give the reader a better understanding of how particular image processing algorithms work. This book bridges the gap between existing high level texts and the need for a more practical and fundamental approach.

### Table of Contents

Preface | p. xi |

Acknowledgments | p. xiii |

1 Introduction to Electronic Image Processing | p. 1 |

1.1 Historical Background | p. 1 |

1.2 Applications of Image Processing | p. 9 |

1.3 Introduction to Visual Perception | p. 13 |

1.4 Image Formation | p. 25 |

1.5 Sampling and Quantization | p. 26 |

1.6 Image Neighbors and Distances | p. 34 |

1.7 Typical Image Processing Systems | p. 37 |

2 Transforms Used in Electronic Image Processing | p. 40 |

2.1 The Fourier Series | p. 40 |

2.2 The One-Dimensional Fourier Transform | p. 44 |

2.3 The Two-Dimensional Fourier Transform | p. 48 |

2.4 Important Functions Relating to the Fourier Transform | p. 51 |

2.5 The Discrete Fourier Transform | p. 55 |

2.6 Example and Properties of the Discrete Fourier Transform | p. 59 |

2.7 Computation of the Discrete Fourier Transform | p. 69 |

2.8 Other Image Transforms | p. 71 |

3 Image Enhancement by Point Operations | p. 90 |

3.1 An Overview of Point Processing | p. 90 |

3.2 Constant and Nonlinear Operations | p. 93 |

3.3 Operations Between Images | p. 102 |

3.4 Histogram Techniques | p. 109 |

4 Spatial Filtering and Fourier Frequency Methods | p. 121 |

4.1 Various Types of Noise That Appear in Images | p. 121 |

4.2 Spatial Filtering | p. 129 |

4.3 Spatial Frequency Filtering | p. 144 |

4.4 Image Restoration | p. 158 |

5 Nonlinear Image Processing Techniques | p. 173 |

5.1 Nonlinear Spatial Filters Based on Order Statistics | p. 173 |

5.2 Nonlinear Mean Filters | p. 197 |

5.3 Adaptive Filters | p. 208 |

5.4 The Homomorphic Filter | p. 221 |

6 Color Image Processing | p. 228 |

6.1 Color Fundamentals | p. 229 |

6.2 Color Models | p. 237 |

6.3 Examples of Color Image Processing | p. 276 |

6.4 Pseudocoloring and Color Displays | p. 288 |

7 Image Geometry and Morphological Filters | p. 294 |

7.1 Spatial Interpolation | p. 294 |

7.2 Image Geometry | p. 299 |

7.3 Binary Morphology Dilation and Erosion | p. 316 |

7.4 Binary Morphology Opening, Closing, Edge Detection, and Skeletonization | p. 333 |

7.5 Binary Morphology Hit-Miss, Thinning, Thickening, and Pruning | p. 347 |

7.6 Binary Morphology Granulometries and the Pattern Spectrum | p. 359 |

7.7 Graylevel Morphology | p. 367 |

8 Image Segmentation and Representation | p. 387 |

8.1 Image Thresholding | p. 388 |

8.2 Edge, Line, and Point Detection | p. 414 |

8.3 Region Based Segmentation | p. 440 |

8.4 Image Representation | p. 452 |

9 Image Compression | p. 471 |

9.1 Compression Fundamentals | p. 471 |

9.2 Error-Free Compression Methods | p. 483 |

9.3 Lossy Compression Methods | p. 522 |

Bibliography | p. 548 |

Index | p. 557 |