Hands-on Morphological Image Processing

Author(s): Edward R. Dougherty, Roberto Alencar Lotufo

Published: 2003

PDF ISBN: 9780819478665 | Print ISBN: 9780819447203

DESCRIPTION

Morphological image processing, now a standard part of the imaging scientist's toolbox, can be applied to a wide range of industrial applications. Concentrating on applications, this book shows how to analyze a problem and then develop successful algorithms based on the analysis. The book is hands-on in a very real sense: readers can download a demonstration toolbox of techniques and images from the web so they can process the images according to examples in the text.

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Front Matter

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CHAPTER 1.

Binary Erosion and Dilation

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1.1 Introduction
1.2 Euclidean and Discrete Binary
1.3 Erosion
1.4 Dilation
1.5 Algebraic Properties
1.6 Filter Properties
1.7 Relationship to Set O
1.8 Bounded Operators
1.9 Exercises
1.10 Laboratory Experiments
References

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CHAPTER 2.

Binary Opening and Closing

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2.1 Opening
2.2 Closing
2.3 Filter Properties
2.4 Application of Opening and Closing
2.5 Alternating Sequential
2.6 Invariance
2.7 r-Openings
2.8 Demonstration
2.9 Exercises
2.10 Laboratory Experiments
References

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CHAPTER 3.

Morphological Processing of Binary Images

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3.1 Pixel Regions
3.2 Boundary Detection
3.3 Reconstruction
3.4 Conditional Dilation
3.5 Marker Selection in Reconstruction
3.6 Reconstructive r-opening
3.7 Logical Openings
3.8 Logical Structural Filters
3.9 Connected Operators
3.10 Skeletonization
3.11 Distance Transform
3.12 Geodesic Distance Transform
3.13 Exercises
3.14 Laboratory Experiments
References

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CHAPTER 4.

Hit-or-Miss Transform

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4.1 The Transform
4.2 Object Recognition
4.3 Thinning
4.4 Pruning
4.5 Exercises
4.6 Laboratory Experiments
References

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CHAPTER 5.

Gray-Scale Morphology

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5.1 Mathematical Preliminaries
5.2 Gray-Scale Erosion
5.3 Gray-Scale Dilation
5.4 Algebraic Properties
5.5 Filter Properties
5.6 Umbra Transform
5.7 Flat Structuring Elements
5.8 Gray-Scale Morphology for Discrete
5.9 Gray-Scale Morphology for Discrete Bounded Signals
5.10 Gray-Scale Opening and Closing
5.11 Exercises
5.12 Laboratory Experiments
References

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CHAPTER 6.

Morphological Processing of Gray-Scale Images

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6.1 Morphological Gradient
6.2 Top-Hat Transform
6.3 Gray-Scale Alternating Sequential Filters
6.4 Gray-Scale Morphological Reconstruction
6.5 Flat Zones and Connected Filters
6.6 Gray-Scale Reconstructive Opening
6.7 Connected Alternating Sequential Filters
6.8 Image Extrema
6.9 Markers From Regional Maxima of Filtered Images
6.10 Extinction Values
6.11 Demonstration
6.12 Exercises
6.13 Laboratory Experiments
References

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CHAPTER 7.

Morphological Segmentation - Watershed

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7.1 Watershed From Markers
7.2 Watershed, Voronoi Diagram, and SKIZ
7.3 Segmentation of Overlapped Convex
7.4 Inner and Outer Markers
7.5 Hierarchical Watershed Transform
7.6 Watershed Transform Algorithms
7.7 Demonstrations
7.8 Exercises
7.9 Laboratory Experiments
References

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CHAPTER 8.

Granulometries

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8.1 Granulometries Generated by a Single Opening
8.2 Discrete Size Distributions
8.3 The Open and Discrete-Size Transforms
8.4 Granulometries on Random Binary Images
8.5 Granulometric Classification
8.6 General Granulometries
8.7 Logical Granulometries
8.8 Discrete Granulometric Bandpass Filters
8.9 Gray-Scale Granulometries
8.10 Exercises
8.11 Laboratory Experiments
References

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CHAPTER 9.

Automatic Design of Morphological Operators

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9.1 Boolean Functions
9.2 Morphological Representation
9.3 Optimal W-Operators
9.4 Design of Optimal W-Operators
9.5 Optimal Increasing Filters
9.6 Differencing Filters
9.7 Resolution Conversion
9.8 Multiresolution Analysis
9.9 Envelope Filters
9.10 Aperture Filters
9.11 Relation to Pattern Recognition
9.12 Exercises
References

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Back Matter

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