Linea ML Color Cameras
Camera Performance and Features
39
Flat Field Calibration Filter
See the section Flat Field Category in Appendix A for GenICam features associated with this section
and how to use them
Relevant Features:
If a sheet of material is being used as a white target, it must be completely free of blemishes and
texture. Any dirt or texture present will generate a variation in the image that will be incorporated
into the calibration coefficients of the camera. Once the target is removed, or moved, vertical
stripes will be present in the scanned image. Dirt or texture that has dark characteristics will
appear as bright vertical lines. And dirt or texture that has bright characteristics will appear as dark
vertical lines.
One way to minimize this effect is for the white target to be moving during the calibration process.
This has the effect of averaging out any dirt or texture present. If this is not possible, the camera
has a feature where a flat field calibration filter can be enabled when generating the flat field
correction coefficients which can minimize the effects of dirt.
Note: this filter is only capable of compensating for small, occasional contaminants. It
will not overcome large features in a target’s texture.
This filter is a 33-pixel moving average.
Flat Field Calibration Region of Interest
See the section Flat Field Category in Appendix A for GenICam features associated with this section
and how to use them
Relevant Features:
flatfieldCalibrationROIOffsetX
There are occasions when the camera’s field of view includes areas that are beyond the material to
be inspected. This may occur for cameras imaging off the edge of a panel or web. Another type of
inspection system may be imaging multiple lanes of material. The edge of the material or between
lanes may not be illuminated in the same way as the areas of inspection and, therefore, would
cause problems with a flat field calibration. The camera can accommodate these “no inspection
zones” by defining a Region of Interest (ROI) where flat field calibration is performed. Image data
outside the ROI is ignored by the flat field calibration algorithm.
The ROI is user selected with the pixel boundaries defined by the pixel start address and pixel
width and then followed by initiating flat field calibration for that region. Once completed, the next
ROI can be defined and flat field calibrated.
Summary of Contents for ML Series
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