pub trait CUDA_HoughCirclesDetector: AlgorithmTrait + CUDA_HoughCirclesDetectorConst {
    fn as_raw_mut_CUDA_HoughCirclesDetector(&mut self) -> *mut c_void;

    fn detect(
        &mut self,
        src: &dyn ToInputArray,
        circles: &mut dyn ToOutputArray,
        stream: &mut Stream
    ) -> Result<()> { ... } fn set_dp(&mut self, dp: f32) -> Result<()> { ... } fn set_min_dist(&mut self, min_dist: f32) -> Result<()> { ... } fn set_canny_threshold(&mut self, canny_threshold: i32) -> Result<()> { ... } fn set_votes_threshold(&mut self, votes_threshold: i32) -> Result<()> { ... } fn set_min_radius(&mut self, min_radius: i32) -> Result<()> { ... } fn set_max_radius(&mut self, max_radius: i32) -> Result<()> { ... } fn set_max_circles(&mut self, max_circles: i32) -> Result<()> { ... } }

Required Methods

Provided Methods

Finds circles in a grayscale image using the Hough transform.

Parameters
  • src: 8-bit, single-channel grayscale input image.
  • circles: Output vector of found circles. Each vector is encoded as a 3-element floating-point vector inline formula .
  • stream: Stream for the asynchronous version.
See also

HoughCircles

C++ default parameters
  • stream: Stream::Null()

Implementors