Hands-on morphological image processing / / Edward R. Dougherty, Roberto A. Lotufo

• Record Nr.: UNINA9911004824103321
• Autore: Dougherty Edward R
• Pubbl/distr/stampa: Bellingham, Wash., : SPIE Optical Engineering Press, 2003
• ISBN: 1-61583-698-5; 0-8194-7866-0
• Descrizione fisica: 1 online resource (289 p.)
• Collana: Tutorial texts in optical engineering ; ; v. TT 59
• Altri autori (Persone): LotufoRoberto A
• Disciplina: 621.36/7
• Soggetti: Image processing - Mathematics; Morphisms (Mathematics)
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.