[−][src]Trait opencv::hub_prelude::CUDA_HoughSegmentDetector

pub trait CUDA_HoughSegmentDetector: AlgorithmTrait {
    pub fn as_raw_CUDA_HoughSegmentDetector(&self) -> *const c_void;
    pub fn as_raw_mut_CUDA_HoughSegmentDetector(&mut self) -> *mut c_void;

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

Base class for line segments detector algorithm. :

Required methods

`pub fn as_raw_CUDA_HoughSegmentDetector(&self) -> *const c_void`[src]

`pub fn as_raw_mut_CUDA_HoughSegmentDetector(&mut self) -> *mut c_void`[src]

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Provided methods

`pub fn detect( &mut self, src: &dyn ToInputArray, lines: &mut dyn ToOutputArray, stream: &mut Stream ) -> Result<()>`[src]

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.