Machine Vision Basics

builderanthologyΤεχνίτη Νοημοσύνη και Ρομποτική

19 Οκτ 2013 (πριν από 4 χρόνια και 22 μέρες)

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Machine Vision Basics

1.
What is machine vision?

2.
Some examples of machine vision
applications

3.
What can be learned from biological
vision?

4.
The curse of television

What is Machine Vision?


Machine vision is the application of image
analysis techniques to factory automation. Just as
human inspectors working on assembly lines
visually inspect parts to judge the quality of
workmanship, so machine vision systems use
digital cameras and image processing software to
perform similar inspections. A machine vision
system is a computer that makes decisions based
on the analysis of digital images.

Technology Requirements


The design of industrial vision systems
requires a broad spectrum of techniques and
disciplines. These include electrical
engineering (hardware and software design),
engineering mathematics, physics (optics and
lighting) and mechanical engineering (since
industrial vision systems deal with a mainly
mechanical world). Detailed descriptions of
the techniques and


Elements of Image Analysis


Enhance features (discard irrelevant
information)


Binarize image


Perform connectivity


Calculate feature attributes


Classify/measure


Elements of a Vision System


Handling system


Illumination


Optics


Camera


Image capture hardware


Image processing hardware


Computer

Machine Vision Flow Chart

Photopic Vision and EM Spectrum

Natural Ambient Illumination

Scotopic Vision

Spatial Frequency Response

Mach Band

Mach Bands

Color Vision

Color Generation

Optical Illusions

Pattern Recognition

Video Scanning Approaches

Television Standards

Digital Image Basics