[−][src]Function opencv::cudaimgproc::create_good_features_to_track_detector

pub fn create_good_features_to_track_detector(
    src_type: i32, 
    max_corners: i32, 
    quality_level: f64, 
    min_distance: f64, 
    block_size: i32, 
    use_harris_detector: bool, 
    harris_k: f64
) -> Result<Ptr<dyn CUDA_CornersDetector>>

Creates implementation for cuda::CornersDetector .

Parameters

  • srcType: Input source type. Only CV_8UC1 and CV_32FC1 are supported for now.
  • maxCorners: Maximum number of corners to return. If there are more corners than are found, the strongest of them is returned.
  • qualityLevel: Parameter characterizing the minimal accepted quality of image corners. The parameter value is multiplied by the best corner quality measure, which is the minimal eigenvalue (see cornerMinEigenVal ) or the Harris function response (see cornerHarris ). The corners with the quality measure less than the product are rejected. For example, if the best corner has the quality measure = 1500, and the qualityLevel=0.01 , then all the corners with the quality measure less than 15 are rejected.
  • minDistance: Minimum possible Euclidean distance between the returned corners.
  • blockSize: Size of an average block for computing a derivative covariation matrix over each pixel neighborhood. See cornerEigenValsAndVecs .
  • useHarrisDetector: Parameter indicating whether to use a Harris detector (see cornerHarris) or cornerMinEigenVal.
  • harrisK: Free parameter of the Harris detector.

C++ default parameters

  • max_corners: 1000
  • quality_level: 0.01
  • min_distance: 0.0
  • block_size: 3
  • use_harris_detector: false
  • harris_k: 0.04