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Imaging science on Wikipedia

Machine vision on Wikipedia

Computer vision on Wikipedia

Imaging science is a multidisciplinary field concerned with the generation, collection, duplication, analysis, modification, and visualization of images, including imaging things that the human eye cannot detect. As an evolving field it includes research and researchers from physics, mathematics, electrical engineering, computer vision, computer science, and perceptual psychology.

Subfields within imaging science include: image processing, 3D computer graphics, animations, atmospheric optics, astronomical imaging, digital image restoration, digital imaging, color science, digital photography, holography, magnetic resonance imaging, medical imaging, microdensitometry, optics, photography, remote sensing, radar imaging, radiometry, silver halide, ultrasound imaging, photoacoustic imaging, thermal imaging, visual perception, and various printing technologies.

Drawing and painting

 

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Uploaded on May 25, 2011

This is the first in a series of 10-minute videos to introduce new users to the basics of machine vision technology. In this video, users will learn what machine vision is, how it is used in factory automation, and its four most common applications.

 

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Introduction to Machine Vision Part 2, Why Use Machine Vision?

Uploaded on Aug 15, 2011

The second installment in Microscan's Introduction to Machine Vision series: Why Use Machine Vision? This video overviews how machine vision can save money and increase profitability for inspection applications. Machine vision inspection can reduce product defects, increase yields, track parts and products through production, and facilitating compliance with regulations.

 

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Introduction to Machine Vision Part 3, Key Parts of a Vision System

Published on May 1, 2012

What are the components that make up a machine vision system? How do they work together in a production environment? In the third video of this introductory series, we discuss the five key components that make up a vision system: lighting, lens, sensor, vision processing and communication, and the impact that each of these can have on your application.