Skip to content

Computer and Machine Vision Theory, Algorithms, Practicalities

Best in textbook rentals since 2012!

ISBN-10: 0123869080

ISBN-13: 9780123869081

Edition: 4th 2012

Authors: E. R. Davies

List price: $66.99
Blue ribbon 30 day, 100% satisfaction guarantee!
Rent eBooks
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!

Description:

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:Practical examples and case studies give the 'ins and outs' of developing real-world vision systems, giving…    
Customers also bought

Book details

List price: $66.99
Edition: 4th
Copyright year: 2012
Publisher: Elsevier Science & Technology
Publication date: 4/18/2012
Binding: Hardcover
Pages: 912
Size: 7.50" wide x 9.25" long x 2.00" tall
Weight: 3.740
Language: English

Vision, the Challenge
Images and Imaging Operations
Basic Image Filtering Operations
Thresholding Techniques
Edge Detection
Corner and Interest Point Detection
Mathematical Morphology
Texture
Binary Shape Analysis
Boundary Pattern Analysis
Line Detection
Circle and Ellipse Detection
The Hough Transform and Its Nature
Abstract Pattern Matching Techniques
The Three-Dimensional World
Tackling the perspective n-point problem
Invariants and perspective
Image transformations and camera calibration
Motion
Automated Visual Inspection
Inspection of Cereal Grains
Surveillance
In-Vehicle Vision Systems24 Statistical Pattern Recognition
Image Acquisition
Real-Time Hardware and Systems Design Considerations
Epilogue-Perspectives in Vision Appendix Robust statistics
References
Index