Struct opencv::ximgproc::ScanSegment

pub struct ScanSegment { /* private fields */ }

Class implementing the F-DBSCAN (Accelerated superpixel image segmentation with a parallelized DBSCAN algorithm) superpixels algorithm by Loke SC, et al. loke2021accelerated for original paper.

The algorithm uses a parallelised DBSCAN cluster search that is resistant to noise, competitive in segmentation quality, and faster than existing superpixel segmentation methods. When tested on the Berkeley Segmentation Dataset, the average processing speed is 175 frames/s with a Boundary Recall of 0.797 and an Achievable Segmentation Accuracy of 0.944. The computational complexity is quadratic O(n2) and more suited to smaller images, but can still process a 2MP colour image faster than the SEEDS algorithm in OpenCV. The output is deterministic when the number of processing threads is fixed, and requires the source image to be in Lab colour format.

Trait Implementations

impl AlgorithmTrait for ScanSegment

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

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTraitConst for ScanSegment

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut FileStorage, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl Boxed for ScanSegment

unsafe fn from_raw(ptr: *mut c_void) -> Self

Wrap the specified raw pointer

fn into_raw(self) -> *mut c_void

Return an the underlying raw pointer while consuming this wrapper.

fn as_raw(&self) -> *const c_void

Return the underlying raw pointer.

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

Return the underlying mutable raw pointer

impl Debug for ScanSegment

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Drop for ScanSegment

fn drop(&mut self)

Executes the destructor for this type.

impl From<ScanSegment> for Algorithm

fn from(s: ScanSegment) -> Self

Converts to this type from the input type.

impl ScanSegmentTrait for ScanSegment

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

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

Returns the actual superpixel segmentation from the last image processed using iterate.

fn iterate(&mut self, img: &impl ToInputArray) -> Result<()>

Calculates the superpixel segmentation on a given image with the initialized parameters in the ScanSegment object.

fn get_labels(&mut self, labels_out: &mut impl ToOutputArray) -> Result<()>

Returns the segmentation labeling of the image.

fn get_label_contour_mask( &mut self, image: &mut impl ToOutputArray, thick_line: bool ) -> Result<()>

Returns the mask of the superpixel segmentation stored in the ScanSegment object.

fn get_label_contour_mask_def( &mut self, image: &mut impl ToOutputArray ) -> Result<()>

Returns the mask of the superpixel segmentation stored in the ScanSegment object.

impl ScanSegmentTraitConst for ScanSegment

fn as_raw_ScanSegment(&self) -> *const c_void

impl Send for ScanSegment