[−][src]Function opencv::features2d::AGAST_with_type

pub fn AGAST_with_type(
    image: &dyn ToInputArray, 
    keypoints: &mut VectorOfKeyPoint, 
    threshold: i32, 
    nonmax_suppression: bool, 
    _type: i32
) -> Result<()>

Detects corners using the AGAST algorithm

Parameters

  • image: grayscale image where keypoints (corners) are detected.
  • keypoints: keypoints detected on the image.
  • threshold: threshold on difference between intensity of the central pixel and pixels of a circle around this pixel.
  • nonmaxSuppression: if true, non-maximum suppression is applied to detected corners (keypoints).
  • type: one of the four neighborhoods as defined in the paper: AgastFeatureDetector::AGAST_5_8, AgastFeatureDetector::AGAST_7_12d, AgastFeatureDetector::AGAST_7_12s, AgastFeatureDetector::OAST_9_16

For non-Intel platforms, there is a tree optimised variant of AGAST with same numerical results. The 32-bit binary tree tables were generated automatically from original code using perl script. The perl script and examples of tree generation are placed in features2d/doc folder. Detects corners using the AGAST algorithm by mair2010_agast .