Get better image information from machine vision cameras – removing artifacts with flat field correction

Posted by Gretchen Alper on Thu, Jun 23, 2016

Flat Field Correction in Machine Vision Cameras

We recently published a series of articles about using Flat Field Correction in high-resolution Machine Vision cameras. 

In the first article we discuss what kinds of artifacts may be created by illumination optics and, we provide three suggestions of how to remove the influence of the light source on your camera image. Read the full article…

Flat field correction is a widely used term as a lot of industrial and machine vision cameras have some form of correction algorithms to overcome image artifacts. However not all forms of flat field correction are the same and with the growing amount of pixels on a sensor, the variations in methods of how a flat field is achieved has only increased. In this article we will clarify the existing correction mechanisms.

The term flat field correction (FFC) is often used for corrections that are related to pixel to pixel variations in sensitivity and dark current, e.g. photo response non uniformities (PRNU) and dark signal non-uniformities (DSNU). However, corrections for artifacts caused by the illumination and illumination optics are said to be FFC related as well. In all cases, what you would like to achieve is a flat camera image, e.g. a flat field.

In our second post, we explain the different types of flat field corrections.  Read the full article…

In our third post of this series, we briefly explain the required steps to make flat field correction work in practice.  Read the full article…


Topics: Image Quality Improvements

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