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cv.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]:

Saturation[I] = (max(R,G,B) - min(R,G,B)) / 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 RGB images of type uint8 and uint16.

See also
cv.GrayworldWB/balanceWhite, cv.SimpleWB, cv.LearningBasedWB
Class Details
Superclasses handle
Sealed false
Construct on load false
Constructor Summary
GrayworldWB Creates an instance of GrayworldWB 
Property Summary
SaturationThreshold Maximum saturation for a pixel to be included in the gray-world 
id Object ID 
Method Summary
  addlistener Add listener for event. 
  balanceWhite Applies white balancing to the input image 
  delete Destructor 
  eq == (EQ) Test handle equality. 
  findobj Find objects matching specified conditions. 
  findprop Find property of MATLAB handle object. 
  ge >= (GE) Greater than or equal relation for handles. 
  gt > (GT) Greater than relation for handles. 
Sealed   isvalid Test handle validity. 
  le <= (LE) Less than or equal relation for handles. 
  listener Add listener for event without binding the listener to the source object. 
  lt < (LT) Less than relation for handles. 
  ne ~= (NE) Not equal relation for handles. 
  notify Notify listeners of event. 
Event Summary
ObjectBeingDestroyed Notifies listeners that a particular object has been destroyed.