presents a new software release from PPT Vision designed to reduce random image noise without sacrificing image quality.
PPT’s new inspection tool not only eliminates specular lighting effects before analysing an image but also prevents deterioration of image quality so that critical information is not lost.
PPT's upcoming software release, Version 10.6 of the Image Math Tool will incorporate a new algorithm that allows the user to mathematically average multiple images, providing an output image that is more homogenous while reducing the effects of small non-relevant defects, which can negatively affect inspection tools such as the Blob or LineGauge tools.
The result is a more robust inspection with reduced false failures due to image noise or lighting inconsistencies, and sharper contrast in machine vision applications.
The images alongside show how the new Image Averaging algorithm in PPT’s Image Math Tool can enhance any inspection. The top image shows the amount of significant random noise that can be found in specular reflection or due to imaging issues such as a high camera gain. This noise is incorrectly interpreted by the LineGauge tools as product edges.
Once the multiple images are averaged, and the image analysis performed, one can see the dramatic reduction in noise and also notice how easily the LineGauge tool finds the true object edges.