Trait opencv::ximgproc::SuperpixelLSC [−][src]
pub trait SuperpixelLSC: AlgorithmTrait + SuperpixelLSCConst {
fn as_raw_mut_SuperpixelLSC(&mut self) -> *mut c_void;
fn iterate(&mut self, num_iterations: i32) -> Result<()> { ... }
fn enforce_label_connectivity(
&mut self,
min_element_size: i32
) -> Result<()> { ... }
}
Required methods
fn as_raw_mut_SuperpixelLSC(&mut self) -> *mut c_void
Provided methods
Calculates the superpixel segmentation on a given image with the initialized parameters in the SuperpixelLSC object.
This function can be called again without the need of initializing the algorithm with createSuperpixelLSC(). This save the computational cost of allocating memory for all the structures of the algorithm.
Parameters
- num_iterations: Number of iterations. Higher number improves the result.
The function computes the superpixels segmentation of an image with the parameters initialized with the function createSuperpixelLSC(). The algorithms starts from a grid of superpixels and then refines the boundaries by proposing updates of edges boundaries.
C++ default parameters
- num_iterations: 10
fn enforce_label_connectivity(&mut self, min_element_size: i32) -> Result<()>
fn enforce_label_connectivity(&mut self, min_element_size: i32) -> Result<()>
Enforce label connectivity.
Parameters
- min_element_size: The minimum element size in percents that should be absorbed into a bigger superpixel. Given resulted average superpixel size valid value should be in 0-100 range, 25 means that less then a quarter sized superpixel should be absorbed, this is default.
The function merge component that is too small, assigning the previously found adjacent label to this component. Calling this function may change the final number of superpixels.
C++ default parameters
- min_element_size: 25