```
public class GrayworldWB
extends WhiteBalancer
```
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.

Field Summary
- Fields inherited from class org.opencv.core.Algorithm
  nativeObj

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static GrayworldWB`	`__fromPtr__(long addr)`
`protected void`	`finalize()`
`float`	`getSaturationThreshold()`	Maximum saturation for a pixel to be included in the gray-world assumption SEE: setSaturationThreshold
`void`	`setSaturationThreshold(float val)`	getSaturationThreshold SEE: getSaturationThreshold

Methods inherited from class org.opencv.core.Algorithm
clear, empty, getDefaultName, getNativeObjAddr, save

Methods inherited from class java.lang.Object
clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Class GrayworldWB