Ben Dawson

Ben Dawson is Director of strategic development for Teledyne DALSA Industrial Products Inc. Ben.Dawson@TeledyneDalsa.com.

ARTICLES

The Hough Transform in Machine Vision

Use good lighting and image preprocessing to get a strong signal before applying the Hough Transform.

Suppose you want a machine vision system to automatically detect scratches on a plastic part such as a cell phone case. You know that the scratches will be nearly straight lines and that they can be low contrast and discontinuous.


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Smart Cameras

Smart Cameras: Yesterday, Today and Tomorrow

What to look for in a smart camera today and what to expect in the future.

Smart, small and flexible—smart cameras combine a standard machine vision camera, programmable processing, communications and sometimes lighting, in a small enclosure.


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Measurement

Measuring Thickness

It can be a bit more complicated than you’d expect.

Thickness is a measure of coatings or films, such as the thickness of paint on metal, or the distance between the closest opposing surfaces of an object.


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Detecting Cracks and Scratches

Machine vision aids in resolving surface flaws.

Detecting product surface flaws—such as discolorations, burns, cracks, and scratches—is a difficult task for human or machine vision.


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Cracks & Scratches

Detecting of Cracks and Scratches

Machine vision aids in resolving surface flaws.
Detecting product surface flaws—such as discolorations, burns, cracks, and scratches—is a difficult task for human or machine vision.
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Vision & Sensors - Inspection Software

Image Morphology

Using mathematics for modifying, classifying, and measuring object shapes in images.

Morphology in its broadest definition is the study of shapes, and can apply to studying the shapes of animals or other organisms in biology, artifacts in archaeology or galaxies in astronomy.


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Vision & Sensors - Image Analysis

Counts

Using algorithms to extract quantitative information from an image.

Counting objects in an image seems like an easy task, which can be automated through machine vision and image analysis, but it becomes difficult when objects touch, move randomly, or are hard to distinguish from their background.


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Color Imaging: Using Machine Vision to Monitor Product Color

Machine vision systems make reliable color measurements-so are they replacing human vision in monitoring product color?
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Image Analysis: Image Analysis for Product Quality

Image analysis and machine vision have a common goal of extracting information from digital images.
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Machine Vision: The Future of Machine Vision

If I could accurately predict the future, I’d be talking with my broker! So I’ll describe some “lines of force” in machine vision and extrapolate their directions into the future, say five years. When we get together then, I hope you remember my good calls and forget the misses.
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Multimedia

Videos

Podcasts

Charles J. Hellier has been active in the technology of nondestructive testing and related quality and inspection fields since 1957. Here he talks with Quality's managing editor, Michelle Bangert, about the importance of training.
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Quality Magazine

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2014 December

Check out the December 2014 edition of Quality Magazine for features!

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The Skills Gap

What is the key to solving the so-called skills gap in the quality industry?
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