Trait opencv::hub_prelude::MSER

source · [−]
pub trait MSER: Feature2DTrait + MSERConst {
    fn as_raw_mut_MSER(&mut self) -> *mut c_void;

    fn detect_regions(
        &mut self,
        image: &dyn ToInputArray,
        msers: &mut Vector<Vector<Point>>,
        bboxes: &mut Vector<Rect>
    ) -> Result<()> { ... }
    fn set_delta(&mut self, delta: i32) -> Result<()> { ... }
    fn set_min_area(&mut self, min_area: i32) -> Result<()> { ... }
    fn set_max_area(&mut self, max_area: i32) -> Result<()> { ... }
    fn set_pass2_only(&mut self, f: bool) -> Result<()> { ... }
}

Required Methods

Provided Methods

Detect %MSER regions

Parameters
  • image: input image (8UC1, 8UC3 or 8UC4, must be greater or equal than 3x3)
  • msers: resulting list of point sets
  • bboxes: resulting bounding boxes

Implementations

source

impl dyn MSER + '_

Full constructor for %MSER detector

Parameters
  • delta: it compares inline formula
  • min_area: prune the area which smaller than minArea
  • max_area: prune the area which bigger than maxArea
  • max_variation: prune the area have similar size to its children
  • min_diversity: for color image, trace back to cut off mser with diversity less than min_diversity
  • max_evolution: for color image, the evolution steps
  • area_threshold: for color image, the area threshold to cause re-initialize
  • min_margin: for color image, ignore too small margin
  • edge_blur_size: for color image, the aperture size for edge blur
C++ default parameters
  • delta: 5
  • min_area: 60
  • max_area: 14400
  • max_variation: 0.25
  • min_diversity: .2
  • max_evolution: 200
  • area_threshold: 1.01
  • min_margin: 0.003
  • edge_blur_size: 5

Implementors