LearningBasedWB Class

More sophisticated learning-based automatic white balance algorithm. As GrayworldWB, this algorithm works by applying different gains to the input image channels, but their computation is a bit more involved compared to the simple gray-world assumption. More details about the algorithm can be found in: Dongliang Cheng, Brian Price, Scott Cohen, and Michael S Brown. Effective learning-based illuminant estimation using simple features. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 1000-1008, 2015. To mask out saturated pixels this function uses only pixels that satisfy the following condition: max(R,G,B) / range_max_val < saturation_thresh Currently supports images of type CV_8UC3 and CV_16UC3.

public class LearningBasedWB : WhiteBalancer

Public Class LearningBasedWB
	Inherits WhiteBalancer

public ref class LearningBasedWB : public WhiteBalancer

type LearningBasedWB =  
    class
        inherit WhiteBalancer
    end