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BL
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| Record Number
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636901
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| Doc. No
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dltt
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| Main Entry
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Dougherty, Edward R
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| Title & Author
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Hands-on morphological image processing /\ Edward R. Dougherty, Roberto A. Lotufo
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| Series Statement
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Tutorial texts in optical engineering ;; v. TT59
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| Page. NO
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xvi, 272 pages :: illustrations ;; 26 cm
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| ISBN
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081944720X
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: 9780819447203
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| Bibliographies/Indexes
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Includes bibliographical references and index
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| Contents
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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 --
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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 --
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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 --
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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 --
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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 --
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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 --
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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 --
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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 --
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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
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| Abstract
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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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| Subject
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Image processing-- Mathematics
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| Subject
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Morphisms (Mathematics)
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| Dewey Classification
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621.36/7
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| LC Classification
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TA1637.D65 2003
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| Added Entry
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Lotufo, Roberto A
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