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Machine vision: theory, algorithms, practicalities 3rd ed

Machine vision: theory, algorithms, practicalities 3rd ed

Material type
단행본
Personal Author
Davies, E. R. (E. Roy)
Title Statement
Machine vision: theory, algorithms, practicalities / E.R. Davies.
판사항
3rd ed.
Publication, Distribution, etc
Amsterdam ;   Boston :   Elsevier ,   c2005.  
Physical Medium
xxxiii, 934 p. : ill. ; 24 cm.
ISBN
0122060938
Bibliography, Etc. Note
Includes bibliographical references (p. 869-915) and index.
Subject Added Entry-Topical Term
Computer vision. Computer algorithms.
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001 000045179678
005 20050628112347
008 050125s2005 ne a f b 001 0 eng
020 ▼a 0122060938
040 ▼a UKM ▼c UKM ▼d DLC ▼d 244002
082 0 0 ▼a 006.3/7 ▼2 22
090 ▼a 006.37 ▼b D255m3
100 1 ▼a Davies, E. R. ▼q (E. Roy)
245 1 0 ▼a Machine vision: ▼b theory, algorithms, practicalities / ▼c E.R. Davies.
250 ▼a 3rd ed.
260 ▼a Amsterdam ; ▼a Boston : ▼b Elsevier , ▼c c2005.
300 ▼a xxxiii, 934 p. : ▼b ill. ; ▼c 24 cm.
504 ▼a Includes bibliographical references (p. 869-915) and index.
650 0 ▼a Computer vision.
650 0 ▼a Computer algorithms.

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Sejong Academic Information Center/Science & Technology/ Call Number 006.37 D255m3 Accession No. 151179775 Availability Available Due Date Make a Reservation Service C

Contents information

Author Introduction

E. R. Davies(지은이)

Information Provided By: : Aladin

Table of Contents

1. Vision, the Challenge

Part 1 Low-Level Vision
2. Images and Imaging Operations
3. Basic Image Filtering Operations
4. Thresholding Techniques
5. Edge Detection
6. Binary Shape Analysis
7. Boundary Pattern Analysis
8. Mathematical Morphology

Part 2 Intermediate-Level Vision
9. Line Detection
10. Circle Detection
11. The Hough Transform and Its Nature
12. Ellipse Detection
13. Hole Detection
14. Polygon and Corner Detection
15. Abstract Pattern Matching Techniques

Part 3 3?D Vision and Motion
16. The Three-Dimensional World
17. Tackling the Perspective n-Point Problem
18. Motion
19. Invariants and their Applications
20. Egomotion and Related Tasks
21. Image Transformations and Camera Calibration

Part 4 Towards Real-Time Pattern Recognition Systems
22. Automated Visual Inspection
23. Inspection of Cereal Grains
24. Statistical Pattern Recognition
25. Biologically Inspired Recognition Schemes
26. Texture
27. Image Acquisition
28. Real-Time Hardware and Systems Design Considerations

Part 5 Perspectives on Vision
29. Machine Vision, Art or Science?

Appendix A Robust Statistics


Information Provided By: : Aladin

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