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Hands-on morphological image processing /

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 ha...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Dougherty, Edward R.
Autor Corporativo: Society of Photo-Optical Instrumentation Engineers
Otros Autores: Lotufo, Roberto A.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bellingham, Wash. : SPIE, ©2003.
Colección:SPIE tutorial texts ; TT59.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Preface
  • List of Symbols
  • 1. Binary Erosion and Dilation
  • 1.1 Introduction
  • 1.2 Euclidean and Discrete Binary Images
  • 1.3 Erosion
  • 1.4 Dilation
  • 1.5 Algebraic Properties
  • 1.6 Filter Properties
  • 1.7 Relationship to Set Operations
  • 1.8 Bounded Operators
  • 1.9 Exercises
  • 1.10 Laboratory Experiments
  • 1.11 References.
  • 2. Binary Opening and Closing
  • 2.1 Opening
  • 2.2 Closing
  • 2.3 Filter Properties
  • 2.4 Application of Opening and Closing Filters
  • 2.5 Alternating Sequential Filters
  • 2.6 Invariance
  • 2.7 T-Openings
  • 2.8 Demonstration
  • 2.9 Exercises
  • 2.10 Laboratory Experiments
  • 2.11 References.
  • 3. Morphological Processing of Binary Images
  • 3.1 Pixel Regions
  • 3.2 Boundary Detection
  • 3.3 Reconstruction
  • 3.4 Conditional Dilation
  • 3.5 Marker Selection in Reconstruction
  • 3.6 Reconstructive T-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
  • 3.15 References.
  • 4. Hit-or-Miss Transform
  • 4.1 The Transform
  • 4.2 Object Recognition
  • 4.3 Thinning
  • 4.4 Pruning
  • 4.5 Exercises
  • 4.6 Laboratory Experiments
  • 4.7 References.
  • 5. Gray-Scale Morphology
  • 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 Images
  • 5.9 Gray-Scale Morphology for Discrete Bounded Signals
  • 5.10 Gray-Scale Opening and Closing
  • 5.11 Exercises
  • 5.12 Laboratory Experiments
  • 5.13 References.
  • 6. Morphological Processing of Gray-Scale Images
  • 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
  • 6.14 References.
  • 7. Morphological Segmentation Watershed
  • 7.1 Watershed From Markers
  • 7.2 Watershed, Voronoi Diagram and SKIZ
  • 7.3 Segmentation of Overlapped Convex Cells
  • 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
  • 7.10 References.
  • 8. Granulometries
  • 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
  • 8.12 References.
  • 9. Automatic Design of Morphological Operators
  • 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 Aperture Filters
  • 9.10 Relation to Pattern Recognition
  • 9.11 Exercises
  • 9.12 References
  • Index.