Trait opencv::hub_prelude::CUDA_HoughSegmentDetector

source · 
pub trait CUDA_HoughSegmentDetector: AlgorithmTrait + CUDA_HoughSegmentDetectorConst {
    fn as_raw_mut_CUDA_HoughSegmentDetector(&mut self) -> *mut c_void;

    fn detect(
        &mut self,
        src: &dyn ToInputArray,
        lines: &mut dyn ToOutputArray,
        stream: &mut Stream
    ) -> Result<()> { ... }
    fn set_rho(&mut self, rho: f32) -> Result<()> { ... }
    fn set_theta(&mut self, theta: f32) -> Result<()> { ... }
    fn set_min_line_length(&mut self, min_line_length: i32) -> Result<()> { ... }
    fn set_max_line_gap(&mut self, max_line_gap: i32) -> Result<()> { ... }
    fn set_max_lines(&mut self, max_lines: i32) -> Result<()> { ... }
}

Required Methods

Provided Methods

Finds line segments in a binary image using the probabilistic Hough transform.

Parameters
  • src: 8-bit, single-channel binary source image.
  • lines: Output vector of lines. Each line is represented by a 4-element vector inline formula , where inline formula and inline formula are the ending points of each detected line segment.
  • stream: Stream for the asynchronous version.
See also

HoughLinesP

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

Implementors