LearningBasedWB Properties |
The LearningBasedWB type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | HistBinNum |
Defines the size of one dimension of a three-dimensional RGB histogram that is used internally by the algorithm. It often makes sense to increase the number of bins for images with higher bit depth (e.g. 256 bins for a 12 bit image).
|
| Ptr |
Pointer to the unmanaged object
(Inherited from UnmanagedObject.) |
| RangeMaxVal |
Maximum possible value of the input image (e.g. 255 for 8 bit images, 4095 for 12 bit images)
|
| SaturationThreshold |
Threshold that is used to determine saturated pixels, i.e. pixels where at least one of the channels exceeds saturation_threshold x range_max_val are ignored.
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See Also