Class LearningBasedWB

More sophisticated learning-based automatic white balance algorithm.

Inheritance
System.Object
DisposableObject
DisposableCvObject
Algorithm
WhiteBalancer
LearningBasedWB
Implements
Inherited Members
Namespace: OpenCvSharp.XPhoto
Assembly: OpenCvSharp.dll
Syntax
public class LearningBasedWB : WhiteBalancer, ICvPtrHolder

Properties

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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).

Declaration
public int HistBinNum { get; set; }
Property Value
Type Description
System.Int32
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RangeMaxVal

Maximum possible value of the input image (e.g. 255 for 8 bit images, 4095 for 12 bit images)

Declaration
public int RangeMaxVal { get; set; }
Property Value
Type Description
System.Int32
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SaturationThreshold

Threshold that is used to determine saturated pixels, i.e. pixels where at least one of the channels exceeds

Declaration
public float SaturationThreshold { get; set; }
Property Value
Type Description
System.Single

Methods

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BalanceWhite(InputArray, OutputArray)

Applies white balancing to the input image.

Declaration
public override void BalanceWhite(InputArray src, OutputArray dst)
Parameters
Type Name Description
InputArray src

Input image
OutputArray dst

White balancing result
Overrides
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Create(String)

Creates an instance of LearningBasedWB

Declaration
public static LearningBasedWB Create(string model)
Parameters
Type Name Description
System.String model

Path to a .yml file with the model. If not specified, the default model is used
Returns
Type Description
LearningBasedWB
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DisposeManaged()

Releases managed resources

Declaration
protected override void DisposeManaged()
Overrides
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ExtractSimpleFeatures(InputArray, OutputArray)

Implements the feature extraction part of the algorithm.

Declaration
public void ExtractSimpleFeatures(InputArray src, OutputArray dst)
Parameters
Type Name Description
InputArray src

Input three-channel image (BGR color space is assumed).
OutputArray dst

An array of four (r,g) chromaticity tuples corresponding to the features listed above.

Implements