Articles by Ben Dawson

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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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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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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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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2015 March

The March 2015 edition of Quality Magazine includes this years Quality's 2015 Plant of the Year.

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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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