Trait opencv::prelude::LearningBasedWBConst

pub trait LearningBasedWBConst: WhiteBalancerConst {
    fn as_raw_LearningBasedWB(&self) -> *const c_void;

    fn get_range_max_val(&self) -> Result<i32> { ... }
    fn get_saturation_threshold(&self) -> Result<f32> { ... }
    fn get_hist_bin_num(&self) -> Result<i32> { ... }
}

More sophisticated learning-based automatic white balance algorithm.

As @ref 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 Cheng2015 .

To mask out saturated pixels this function uses only pixels that satisfy the following condition:

Currently supports images of type @ref CV_8UC3 and @ref CV_16UC3.

Required Methods

fn as_raw_LearningBasedWB(&self) -> *const c_void

Provided Methods

fn get_range_max_val(&self) -> Result<i32>

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

See also

setRangeMaxVal

fn get_saturation_threshold(&self) -> Result<f32>

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

See also

setSaturationThreshold

fn get_hist_bin_num(&self) -> Result<i32>

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).

See also

setHistBinNum

Implementors

impl LearningBasedWBConst for PtrOfLearningBasedWB