Machine vision software: Understanding imaging from a software perspective

In a webcast that took place back in April, Tom Brennan, President of Artemis Vision went into detail about imaging from a software perspective, covering examples that utilize most of the common imaging algorithms and methods, in order to provide context. These include Fourier Transforms, image rotation and warping, binary and grayscale morphology, edge enhancement, and image filtering.

Image representations covered in the webcast included monochrome and color, including RGB, HSV, and HSL. Image analysis techniques such as histogram analysis, blob analysis, pattern matching including geometric and normalized grey scale correlation will also be covered. Additionally, Brennan will cover parallel computing (GPU vs. CPU, parallelizing algorithms), and artificial intelligence in vision (training stage, testing stage). The webcast also featured a question and answer period at the end.

Check out Brennan’s entire machine vision software presentation in this photo slideshow: