Matrox Imaging

Vision library or vision-specific IDE: which is right for you?

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Commercial machine vision software is currently classified along two lines: the conventional vision library and the vision-specific integrated development environment (IDE). Determining which software is right for your vision project depends upon a variety of factors: ease-of-use, productivity, flexibility, performance, completeness, and maintenance. This white paper uses these factors to contrast the two software development approaches and clearly establish the merits and drawbacks of each. The discussion assumes that the vision tools available in both types of software are similar—if not identical—and does not explore possible discrepancies with these tools. Also, the discussion ignores the hardware platform that the vision applications run on as to not bias one over the other.

MIL 10

Matrox Imaging has released version 10 of the Matrox Imaging Library (MIL)

Programming with ease

Greg Blackman looks at the options for high-throughput image processing, including FPGAs and multicore processors, and finds out what unites development in all software packages is ease of use

Matrox Design Assistant 3.0

Matrox Imaging has announced Matrox Design Assistant 3.0, the latest release of its flowchart-based integrated development environment (IDE) for the Matrox Iris GT smart camera line

Not scratching the surface

Surfaces have a key role, stopping corrosion for one, and Rob Coppinger examines the latest solutions for inspecting this most important of features

Is CXP right for you?

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The emergence of the CoaXPress (CXP) standard gives developers of imaging and vision applications a new camera interface with which to work. Determining if the standard is the right choice for your next project requires careful consideration of both CXP’s features and your application requirements. This white paper introduces you to CoaXPress, compares it to established standards like Camera Link and GigE Vision, describes the applications for which it is best suited, and discusses how this standard may likely evolve.

Understanding colour machine vision

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Digital cameras with colour image sensors are now commonplace. The same is true for the computing power and device interfaces necessary to handle the additional data from colour images. What’s more, as users become familiar and comfortable with machine vision technology, they seek to tackle more difficult or previously unsolvable applications. These circumstances combine to make colour machine vision an area of mounting interest. Colour machine vision poses unique challenges but it also brings some unique capabilities for manufacturing control and inspection.

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