Trait opencv::prelude::GraphSegmentation

pub trait GraphSegmentation: AlgorithmTrait + GraphSegmentationConst {
    // Required method
    fn as_raw_mut_GraphSegmentation(&mut self) -> *mut c_void;

    // Provided methods
    fn process_image(
        &mut self,
        src: &dyn ToInputArray,
        dst: &mut dyn ToOutputArray
    ) -> Result<()> { ... }
    fn set_sigma(&mut self, sigma: f64) -> Result<()> { ... }
    fn get_sigma(&mut self) -> Result<f64> { ... }
    fn set_k(&mut self, k: f32) -> Result<()> { ... }
    fn get_k(&mut self) -> Result<f32> { ... }
    fn set_min_size(&mut self, min_size: i32) -> Result<()> { ... }
    fn get_min_size(&mut self) -> Result<i32> { ... }
}

Graph Based Segmentation Algorithm. The class implements the algorithm described in PFF2004 .

Required Methods

fn as_raw_mut_GraphSegmentation(&mut self) -> *mut c_void

Provided Methods

fn process_image( &mut self, src: &dyn ToInputArray, dst: &mut dyn ToOutputArray ) -> Result<()>

Segment an image and store output in dst

Parameters

• src: The input image. Any number of channel (1 (Eg: Gray), 3 (Eg: RGB), 4 (Eg: RGB-D)) can be provided
• dst: The output segmentation. It’s a CV_32SC1 Mat with the same number of cols and rows as input image, with an unique, sequential, id for each pixel.

fn set_sigma(&mut self, sigma: f64) -> Result<()>

fn get_sigma(&mut self) -> Result<f64>

fn set_k(&mut self, k: f32) -> Result<()>

fn get_k(&mut self) -> Result<f32>

fn set_min_size(&mut self, min_size: i32) -> Result<()>

fn get_min_size(&mut self) -> Result<i32>

Implementors

impl GraphSegmentation for Ptr<dyn GraphSegmentation>