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|b Knovel Corporation
|n http://www.knovel.com
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|a TA1637
|b .D65 2003e
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|a TEC
|x 009070
|2 bisacsh
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|a 621.36/7
|2 21
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|a UAMI
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100 |
1 |
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|a Dougherty, Edward R.
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1 |
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|a Hands-on morphological image processing /
|c Edward R. Dougherty, Roberto A. Lotufo.
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260 |
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|a Bellingham, Wash. :
|b SPIE,
|c ©2003.
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300 |
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|a 1 online resource (xvi, 272 pages) :
|b illustrations
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336 |
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|a text
|b txt
|2 rdacontent
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337 |
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|a computer
|b c
|2 rdamedia
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338 |
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|a online resource
|b cr
|2 rdacarrier
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490 |
1 |
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|a Tutorial texts in optical engineering ;
|v v. TT59
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500 |
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|a "SPIE digital library."
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|a Title from PDF title page (viewed August 22, 2009).
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|a Includes bibliographical references and index.
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|a 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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|a 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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|a 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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505 |
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|a 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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505 |
8 |
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|a 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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|a 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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|a 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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|a 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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505 |
8 |
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|a 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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|a 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.
|
590 |
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|a Knovel
|b ACADEMIC - Optics & Photonics
|
650 |
|
0 |
|a Image processing
|x Mathematics.
|
650 |
|
0 |
|a Morphisms (Mathematics)
|
650 |
|
6 |
|a Traitement d'images
|x Mathématiques.
|
650 |
|
6 |
|a Morphismes (Mathématiques)
|
650 |
|
7 |
|a TECHNOLOGY & ENGINEERING
|x Mechanical.
|2 bisacsh
|
650 |
|
7 |
|a Image processing
|x Mathematics
|2 fast
|
650 |
|
7 |
|a Morphisms (Mathematics)
|2 fast
|
650 |
|
7 |
|a Processamento de imagens (princípios)
|2 larpcal
|
650 |
|
7 |
|a Matemática da computação.
|2 larpcal
|
700 |
1 |
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|a Lotufo, Roberto A.
|
710 |
2 |
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|a Society of Photo-Optical Instrumentation Engineers.
|
776 |
0 |
8 |
|i Print version:
|a Dougherty, Edward R.
|t Hands-on morphological image processing.
|d Bellingham, Wash. : SPIE, ©2003
|z 081944720X
|w (DLC) 2003054262
|
830 |
|
0 |
|a SPIE tutorial texts ;
|v TT59.
|
856 |
4 |
0 |
|u https://appknovel.uam.elogim.com/kn/resources/kpHMIP000H/toc
|z Texto completo
|
938 |
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|a EBL - Ebook Library
|b EBLB
|n EBL728518
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938 |
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|a EBSCOhost
|b EBSC
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938 |
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|a Society of Photo-Optical Instrumentation Engineers
|b SPIE
|n 9780819478665
|
938 |
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|a YBP Library Services
|b YANK
|n 9339731
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994 |
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|a 92
|b IZTAP
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