Package org.opencv.xphoto
Class GrayworldWB
java.lang.Object
org.opencv.core.Algorithm
org.opencv.xphoto.WhiteBalancer
org.opencv.xphoto.GrayworldWB
Gray-world white balance algorithm
This algorithm scales the values of pixels based on a
gray-world assumption which states that the average of all channels
should result in a gray image.
It adds a modification which thresholds pixels based on their
saturation value and only uses pixels below the provided threshold in
finding average pixel values.
Saturation is calculated using the following for a 3-channel RGB image per
pixel I and is in the range [0, 1]:
\( \texttt{Saturation} [I] = \frac{\textrm{max}(R,G,B) - \textrm{min}(R,G,B)
}{\textrm{max}(R,G,B)} \)
A threshold of 1 means that all pixels are used to white-balance, while a
threshold of 0 means no pixels are used. Lower thresholds are useful in
white-balancing saturated images.
Currently supports images of type REF: CV_8UC3 and REF: CV_16UC3.
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Field Summary
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionstatic GrayworldWB
__fromPtr__
(long addr) protected void
finalize()
float
Maximum saturation for a pixel to be included in the gray-world assumption SEE: setSaturationThresholdvoid
setSaturationThreshold
(float val) getSaturationThreshold SEE: getSaturationThresholdMethods inherited from class org.opencv.xphoto.WhiteBalancer
balanceWhite
Methods inherited from class org.opencv.core.Algorithm
clear, empty, getDefaultName, getNativeObjAddr, save
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Constructor Details
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GrayworldWB
protected GrayworldWB(long addr)
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Method Details
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__fromPtr__
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getSaturationThreshold
public float getSaturationThreshold()Maximum saturation for a pixel to be included in the gray-world assumption SEE: setSaturationThreshold- Returns:
- automatically generated
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setSaturationThreshold
public void setSaturationThreshold(float val) getSaturationThreshold SEE: getSaturationThreshold- Parameters:
val
- automatically generated
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finalize
- Overrides:
finalize
in classWhiteBalancer
- Throws:
Throwable
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