ΠΠ·Π΄Π°ΡΠ΅Π»ΡΡΡΠ²ΠΎ Prentice Hall, 1991, -262 pp.<div class="bb-sep"></div>Machine vision is a multi-disciplinary subject, utilizing techniques drawn from optics, electronics, mechanical engineering, computer science, and artificial intelligence. This book is intended to be an in-depth introduction to Mach
Machine Vision: Automated Visual Inspection and Robot Vision
β Scribed by David Vernon
- Publisher
- Prentice Hall
- Year
- 1991
- Tongue
- English
- Leaves
- 279
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Machine vision is a multi-disciplinary subject, utilizing techniques drawn from optics, electronics, mechanical engineering, computer science and artificial intelligence. This book provides an introduction to the fundamental principles of machine vision for students. Emphasis is laid on providing the reader with a solid grounding in the basic tools for image acquisition, processing and analysis. The text addresses the application areas of automated visual inspection of robot vision; introduces robot programming together with an explanation of the mechanisms by which robot vision modules interact with the programming language; recognizes that machine vision is presently undergoing a maturing process, with sophisticated techniques drawn from current research being increasingly exploited in industrial systems; features a chapter on the research-oriented topics of 3-D image understanding and early visual processing (steropsis and visual motion)
β¦ Table of Contents
Content: An introduction to computer vision
illumination and fixturing
sensors
image acquisition and representation
fundamentals of digital image processing
image analysis
the segmentation problem
2-D shape description and recognition
3-D object representations
robot programming and robot vision
bin picking
trends and aspirations.
β¦ Subjects
Computer vision;Robot vision;Quality control -- Optical methods -- Automation;Vision par ordinateur;Vision artificielle (Robotique);QualitaΜtskontrolle;Bildverstehen;Maschinelles Sehen;Robotik;Machine vision
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