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Machine vision : theory, algorithms, practicalities /

In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed i...

Пълно описание

Основен автор: Davies, E. R.
Формат: Електронна книга
Език: English
Публикувано: Amsterdam ; Boston : Elsevier, ℗♭2005.
Издание: 3rd ed.
Предмети:
Онлайн достъп: http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=189467
Подобни документи: Print version:: Machine vision : theory, algorithms, practicalities.
Съдържание:
  • Vision, the challenge
  • Images and imaging operations
  • Basic image filtering operations
  • Thresholding techniques
  • Edge detection
  • Binary shape analysis
  • Boundary pattern analysis
  • Mathematical morphology
  • Line detection
  • Circle detection
  • The Hough transform and its nature
  • Ellipse detection
  • Hole detection
  • Polygon and corner detection
  • Abstract pattern matching techniques
  • The three-dimensional world
  • Tackling the perspective n-point problem
  • Motion
  • Invariants and their applications
  • Egomotion and related tasks
  • Image transformations and camera calibration
  • Automated visual inspection
  • Inspection of cereal grains
  • Statistical pattern recognition
  • Biologically inspired recognition schemes
  • Texture
  • Image acquisition
  • Real-time hardware and systems design considerations
  • Machine vision : art or science?