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  • Produktbild: Machine Interpretation of Line Drawing Images
  • Produktbild: Machine Interpretation of Line Drawing Images

Machine Interpretation of Line Drawing Images Technical Drawings, Maps and Diagrams

Fr. 137.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

17.09.2011

Verlag

Springer London

Seitenzahl

292

Maße (L/B/H)

23.5/15.5/1.7 cm

Gewicht

458 g

Auflage

Softcover reprint of the original 1st ed. 2000

Sprache

Englisch

ISBN

978-1-4471-1202-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

17.09.2011

Verlag

Springer London

Seitenzahl

292

Maße (L/B/H)

23.5/15.5/1.7 cm

Gewicht

458 g

Auflage

Softcover reprint of the original 1st ed. 2000

Sprache

Englisch

ISBN

978-1-4471-1202-0

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Machine Interpretation of Line Drawing Images
  • Produktbild: Machine Interpretation of Line Drawing Images
  • 1. The Line Drawing Interpretation Problem.- 1.1 Motivation.- 1.2 Manual Input vs Document Scanning.- 1.3 Raster-Based vs Vector Representations.- 1.4 The Interpretation Problem.- 1.5 Engineering Drawings and Maps.- 1.6 Line Drawing Interpretation, Image Understanding and Pattern Recognition.- 1.7 Current Line Drawing Interpretation Systems.- 1.8 The Line Drawing Interpretation Literature.- 2. Components of a Line Drawing Interpretation System.- 2.1 Design Criteria for Drawing Interpretation Systems.- 2.2 Five Stages of Line Drawing Interpretation.- 2.3 Intermediate and Target Representations.- 2.4 System Architectures and the Role of A Priori Knowledge.- 3. Document Image Acquisition.- 3.1 Scanning Devices.- 3.2 Image Coding.- 3.3 Image File Formats.- 4. Binarisation.- 4.1 A Taxonomy of Thresholding Techniques.- 4.2 Document Image Statistics.- 4.3 Binarising Line Drawings.- 5. Binary Image Processing and the Raster to Vector Transformation.- 5.1 Raster to Vector Conversion.- 5.2 Some Definitions.- 5.3 The Distance Transform.- 5.4 Mathematical Morphology.- 5.5 Reducing Noise in Binary Images.- 5.6 Reducing Noise in Binary Images of Line Drawings.- 6. Analysis of Connected Components.- 6.1 Nomenclature.- 6.2 Contouring.- 6.3 Skeletonisation.- 6.4 Grey Level Skeletonisation.- 7. Vectorisation.- 7.1 Approaches To Vectorisation.- 7.2 Global Vectorisation Methods.- 7.3 Local Vectorisation Methods.- 7.4 The Hough Transform.- 7.5 Direct Vectorisation.- 7.6 A Vector Database.- 7.7 Removing Noise from the Vector Model.- 7.8 Alternative Raster to Vector Technologies.- 8. Interpreting Images of Maps.- 8.1 Introduction.- 8.2 System Overview.- 8.3 Map Interpretation Principles.- 8.4 A Classification of Map Entities.- 8.5 Interactive Map Interpretation.- 8.6 Output Formats.- 8.7 Quality Issues.- 9. Recognising Cartographic Objects.- 9.1 Recognising Isolines.- 9.2 Recognising Roads.- 9.3 Recognising Texture and Area Objects.- 9.4. Recognising Symbols.- 10. Recovering Engineering Drawing Entities from Vector Data.- 10.1 Design Principles and System Architecture.- 10.2 Vectorisation and Entity Recognition Processes.- 10.3 Extracting Arcs and Straight Lines.- 10.4 Recognising Crosshatched Areas.- 10.5 Recognising Dimensions.- 10.6 Detecting Blocks.- 11. Knowledge-Directed Interpretation of Engineering Drawings.- 11.1 An Image Understanding Approach.- 11.2 Drawing Entities as Schemata.- 11.3 Image Analysis Facilities.- 11.4 The ANON Architecture.- 11.5 Control Issues.- 11.6 Entity Extraction: Chained Lines.- 11.7 Top-Down and Bottom-Up Control.- 11.8 Performance.- 11.9 Scene Formation.- 11.10 ANON in Context.- 11.11 Discussion.- 12. Current Issues and Future Developments.- 12.1 Higher-Level and 3D Representations.- 12.2 Exploiting Domain Knowledge.- 12.3 The Role of the Operator.- 12.4 Performance Measures.- 12.5 Topics for Future Development.- References.