Kooperativer Bibliotheksverbund

UID:

Format: 1 online resource (xlii, 858 Seiten) : , Illustrationen, Diagramme.

Edition: Fifth edition

ISBN: 978-0-12-809284-2 , 978-0-12-809575-1 , 0-12-809575-X

Note: Includes bibliographical references and index

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780128092842

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 012809284X

Language: English

Subjects: Computer Science , Engineering

Keywords: Maschinelles Sehen

DOI: 10.1016/C2015-0-05563-0

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 online resource (902 pages)

Edition: 5th ed

ISBN: 9780128095751

Note: Front Cover -- Computer Vision -- Copyright Page -- Dedication -- Contents -- About the Author -- Foreword -- Preface to the Fifth Edition -- Preface to the First Edition -- Acknowledgments -- Topics Covered in Application Case Studies -- Influences Impinging Upon Integrated Vision System Design -- Glossary of Acronyms and Abbreviations -- 1 Vision, the challenge -- 1.1 Introduction-Man and His Senses -- 1.2 The Nature of Vision -- 1.2.1 The Process of Recognition -- 1.2.2 Tackling the Recognition Problem -- 1.2.3 Object Location -- 1.2.4 Scene Analysis -- 1.2.5 Vision as Inverse Graphics -- 1.3 From Automated Visual Inspection to Surveillance -- 1.4 What This Book Is About -- 1.5 The Part Played by Machine Learning -- 1.6 The Following Chapters -- 1.7 Bibliographical Notes -- 1 Low-level vision -- 2 Images and imaging operations -- 2.1 Introduction -- 2.1.1 Gray Scale Versus Color -- 2.2 Image Processing Operations -- 2.2.1 Some Basic Operations on Grayscale Images -- 2.2.2 Basic O , 3.11.3 Modified Dilation and Erosion Operators -- 3.12 Mathematical Morphology -- 3.12.1 Generalized Morphological Dilation -- 3.12.2 Generalized Morphological Erosion -- 3.12.3 Duality Between Dilation and Erosion -- 3.12.4 Properties of Dilation and Erosion Operators -- 3.12.5 Closing and Opening -- 3.12.6 Summary of Basic Morphological Operations -- 3.13 Morphological Grouping -- 3.14 Morphology in Grayscale Images -- 3.15 Concluding Remarks -- 3.16 Bibliographical and Historical Notes -- 3.16.1 More Recent Developments -- 3.17 Problems -- 4 The role of thresholding -- 4.1 Introduction -- 4.2 Region-Growing Methods -- 4.3 Thresholding -- 4.3.1 Finding a Suitable Threshold -- 4.3.2 Tackling the Problem of Bias in Threshold Selection -- 4.4 Adaptive Thresholding -- 4.4.1 Local Thresholding Methods -- 4.5 More Thoroughgoing Approaches to Threshold Selection -- 4.5.1 Variance-Based Thresholding -- 4.5.2 Entropy-Based Thresholding -- 4.5.3 Maximum Likelihood Thresholding -- 4.6 The Gl , 5.14.1 More Recent Developments -- 5.15 Problems -- 6 Corner, interest point, and invariant feature detection -- 6.1 Introduction -- 6.2 Template Matching -- 6.3 Second-Order Derivative Schemes -- 6.4 A Median Filter-based Corner Detector -- 6.4.1 Analyzing the Operation of the Median Detector -- 6.4.2 Practical Results -- 6.5 The Harris Interest Point Operator -- 6.5.1 Corner Signals and Shifts for Various Geometric Configurations -- 6.5.2 Performance With Crossing Points and T-junctions -- 6.5.3 Different Forms of the Harris Operator -- 6.6 Corner Orientation -- 6.7 Local Invariant Feature Detectors and Descriptors -- 6.7.1 Geometric Transformations and Feature Normalization -- 6.7.2 Harris Scale and Affine Invariant Detectors and Descriptors -- 6.7.3 Hessian Scale and Affine Invariant Detectors and Descriptors -- 6.7.4 The Scale Invariant Feature Transforms Operator -- 6.7.5 The Speeded-Up Robust Features Operator -- 6.7.6 Maximally Stable Extremal Regions -- 6.7.7 Comparison of , 8.6 Skeletons and Thinning -- 8.6.1 Crossing Number -- 8.6.2 Parallel and Sequential Implementations of Thinning -- 8.6.3 Guided Thinning -- 8.6.4 A Comment on the Nature of the Skeleton -- 8.6.5 Skeleton Node Analysis -- 8.6.6 Application of Skeletons for Shape Recognition -- 8.7 Other Measures for Shape Recognition -- 8.8 Boundary Tracking Procedures -- 8.9 Concluding Remarks -- 8.10 Bibliographical and Historical Notes -- 8.10.1 More Recent Developments -- 8.11 Problems -- 9 Boundary pattern analysis -- 9.1 Introduction -- 9.2 Boundary Tracking Procedures -- 9.3 Centroidal Profiles -- 9.4 Problems With the Centroidal Profile Approach -- 9.4.1 Some Solutions -- 9.5 The (s,ψ) Plot -- 9.6 Tackling the Problems of Occlusion -- 9.7 Accuracy of Boundary Length Measures -- 9.8 Concluding Remarks -- 9.9 Bibliographical and Historical Notes -- 9.9.1 More Recent Developments -- 9.10 Problems -- 10 Line, circle, and ellipse detection -- 10.1 Introduction -- 10.2 Application of the Hough Tr , 11.3 The Relevance of Spatial Matched Filtering -- 11.4 Gradient Weighting Versus Uniform Weighting -- 11.4.1 Calculation of Sensitivity and Computational Load -- 11.4.2 Summary -- 11.5 Use of the GHT for Ellipse Detection -- 11.5.1 Practical Details -- 11.6 Comparing the Various Methods for Ellipse Detection -- 11.7 A Graph-Theoretic Approach to Object Location -- 11.7.1 A Practical Example-Locating Cream Biscuits -- 11.8 Possibilities for Saving Computation -- 11.9 Using the GHT for Feature Collation -- 11.9.1 Computational Load -- 11.10 Generalizing the Maximal Clique and Other Approaches -- 11.11 Search -- 11.12 Concluding Remarks -- 11.13 Bibliographical and Historical Notes -- 11.13.1 More Recent Developments -- 11.14 Problems -- 12 Object segmentation and shape models -- 12.1 Introduction -- 12.2 Active Contours -- 12.3 Practical Results Obtained Using Active Contours -- 12.4 The Level-Set Approach to Object Segmentation -- 12.5 Shape Models -- 12.5.1 Locating Objects Using S , 13.15 Bibliographical and Historical Notes

Language: English

UID:

Format: xlii, 858 Seiten : , Illustrationen, Diagramme (überwiegend farbig).

Edition: Fifth edition

ISBN: 978-0-1280-9284-2

Uniform Title: Machine vision 1990

Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-0-1280-9575-1

Former: Vorangegangen ist Computer and machine vision

Language: English

Subjects: Computer Science , Engineering

Keywords: Maschinelles Sehen

UID:

Format: 1 online resource (902 pages) : , illustrations (some color), tables

Edition: Fifth edition.

ISBN: 9780128095751 (e-book)

Additional Edition: Print version: Davies, E. R. Computer vision : principles, algorithms, applications, learning. London, England : Academic Press, c2018 ISBN 9780128092842

Language: English

Keywords: Electronic books.

URL: Click to View

UID:

Format: 1 online resource (xlii, 858 Seiten) : , Illustrationen, Diagramme.

Edition: Fifth edition

ISBN: 978-0-12-809284-2 , 978-0-12-809575-1 , 0-12-809575-X

Note: Includes bibliographical references and index

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780128092842

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 012809284X

Language: English

Subjects: Computer Science , Engineering

Keywords: Maschinelles Sehen

DOI: 10.1016/C2015-0-05563-0

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 online resource (xlii, 858 Seiten) : , Illustrationen, Diagramme.

Edition: Fifth edition

ISBN: 978-0-12-809284-2 , 978-0-12-809575-1 , 0-12-809575-X

Note: Includes bibliographical references and index

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780128092842

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 012809284X

Language: English

Subjects: Computer Science , Engineering

Keywords: Maschinelles Sehen

DOI: 10.1016/C2015-0-05563-0

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 online resource (xxxvi, 871 pages, 4 unnumbered pages of plates) : , illustrations (some color), portrait

Edition: 4th edition.

ISBN: 1-283-73498-2 , 0-12-386991-9

Content: Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R&D engineers working in this vibrant subject. Key features include: 〈

Note: Description based upon print version of record. , Chapter 1. Vision, the Challenge --Part 1. Low-level Vision --Chapter 2. Images and Imaging Operations --Chapter 3. Basic Image Filtering Operations --Chapter 4. Thresholding Techniques --Chapter 5. Edge Detection --Chapter 6. Corner and Interest Point Detection --Chapter 7. Mathematical Morphology --Chapter 8. Texture. Part 2. Intermediate-level Vision --Chapter 9. Binary Shape Analysis --Chapter 10. Boundary Pattern Analysis --Chapter 11. Line Detection --Chapter 12. Circle and Ellipse Detection --Chapter 13. The Hough Transform and Its Nature --Chapter 14. Pattern Matching Techniques. Part 3. 3-D Vision and Motion --Chapter 15. The Three-Dimensional World --Chapter 16. Tackling the Perspective n-point Problem --Chapter 17. Invariants and Perspective --Chapter 18. Image Transformations and Camera Calibration --Chapter 19. Motion. Part 4. Toward Real-time Pattern Recognition Systems --Chapter 20. Automated Visual Inspection --Chapter 21. Inspection of Cereal Grains --Chapter 22. Surveillance --Chapter 23. In-Vehicle Vision Systems --Chapter 24. Statistical Pattern Recognition --Chapter 25. Image Acquisition --Chapter 26. Real-Time Hardware and Systems Design Considerations --Chapter 27. Epilogue--Perspectives in Vision --Appendix A. Robust Statistics. , pt. 1. Low-level vision -- pt. 2. Intermediate-level vision -- pt. 3. 3-D vision and motion -- pt. 4. Toward real-time pattern recognition systems. , English

Additional Edition: ISBN 0-12-809575-X

Additional Edition: ISBN 0-12-386908-0

Language: English

UID:

Format: 1 online resource (xxxvi, 871 pages, 4 unnumbered pages of plates) : , illustrations (some color), portrait

Edition: 4th edition.

ISBN: 1-283-73498-2 , 0-12-386991-9

Content: Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R&D engineers working in this vibrant subject. Key features include: 〈

Note: Description based upon print version of record. , Chapter 1. Vision, the Challenge --Part 1. Low-level Vision --Chapter 2. Images and Imaging Operations --Chapter 3. Basic Image Filtering Operations --Chapter 4. Thresholding Techniques --Chapter 5. Edge Detection --Chapter 6. Corner and Interest Point Detection --Chapter 7. Mathematical Morphology --Chapter 8. Texture. Part 2. Intermediate-level Vision --Chapter 9. Binary Shape Analysis --Chapter 10. Boundary Pattern Analysis --Chapter 11. Line Detection --Chapter 12. Circle and Ellipse Detection --Chapter 13. The Hough Transform and Its Nature --Chapter 14. Pattern Matching Techniques. Part 3. 3-D Vision and Motion --Chapter 15. The Three-Dimensional World --Chapter 16. Tackling the Perspective n-point Problem --Chapter 17. Invariants and Perspective --Chapter 18. Image Transformations and Camera Calibration --Chapter 19. Motion. Part 4. Toward Real-time Pattern Recognition Systems --Chapter 20. Automated Visual Inspection --Chapter 21. Inspection of Cereal Grains --Chapter 22. Surveillance --Chapter 23. In-Vehicle Vision Systems --Chapter 24. Statistical Pattern Recognition --Chapter 25. Image Acquisition --Chapter 26. Real-Time Hardware and Systems Design Considerations --Chapter 27. Epilogue--Perspectives in Vision --Appendix A. Robust Statistics. , pt. 1. Low-level vision -- pt. 2. Intermediate-level vision -- pt. 3. 3-D vision and motion -- pt. 4. Toward real-time pattern recognition systems. , English

Additional Edition: ISBN 0-12-809575-X

Additional Edition: ISBN 0-12-386908-0

Language: English

UID:

Format: 1 online resource (xxxvi, 871 pages, 4 unnumbered pages of plates) : , illustrations (some color), portrait

Edition: 4th edition.

ISBN: 1-283-73498-2 , 0-12-386991-9

Content: Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R&D engineers working in this vibrant subject. Key features include: 〈

Note: Description based upon print version of record. , Chapter 1. Vision, the Challenge --Part 1. Low-level Vision --Chapter 2. Images and Imaging Operations --Chapter 3. Basic Image Filtering Operations --Chapter 4. Thresholding Techniques --Chapter 5. Edge Detection --Chapter 6. Corner and Interest Point Detection --Chapter 7. Mathematical Morphology --Chapter 8. Texture. Part 2. Intermediate-level Vision --Chapter 9. Binary Shape Analysis --Chapter 10. Boundary Pattern Analysis --Chapter 11. Line Detection --Chapter 12. Circle and Ellipse Detection --Chapter 13. The Hough Transform and Its Nature --Chapter 14. Pattern Matching Techniques. Part 3. 3-D Vision and Motion --Chapter 15. The Three-Dimensional World --Chapter 16. Tackling the Perspective n-point Problem --Chapter 17. Invariants and Perspective --Chapter 18. Image Transformations and Camera Calibration --Chapter 19. Motion. Part 4. Toward Real-time Pattern Recognition Systems --Chapter 20. Automated Visual Inspection --Chapter 21. Inspection of Cereal Grains --Chapter 22. Surveillance --Chapter 23. In-Vehicle Vision Systems --Chapter 24. Statistical Pattern Recognition --Chapter 25. Image Acquisition --Chapter 26. Real-Time Hardware and Systems Design Considerations --Chapter 27. Epilogue--Perspectives in Vision --Appendix A. Robust Statistics. , pt. 1. Low-level vision -- pt. 2. Intermediate-level vision -- pt. 3. 3-D vision and motion -- pt. 4. Toward real-time pattern recognition systems. , English

Additional Edition: ISBN 0-12-809575-X

Additional Edition: ISBN 0-12-386908-0

Language: English