Struct IntelligentScissorsMB

pub struct IntelligentScissorsMB { /* private fields */ }

Intelligent Scissors image segmentation

This class is used to find the path (contour) between two points which can be used for image segmentation.

Usage example: usage_example_intelligent_scissors

Reference: “Intelligent Scissors for Image Composition” algorithm designed by Eric N. Mortensen and William A. Barrett, Brigham Young University Mortensen95intelligentscissors

Implementations

impl IntelligentScissorsMB

pub fn default() -> Result<IntelligentScissorsMB>

Trait Implementations

impl Boxed for IntelligentScissorsMB

unsafe fn from_raw( ptr: <IntelligentScissorsMB as OpenCVFromExtern>::ExternReceive, ) -> Self

Wrap the specified raw pointer

fn into_raw( self, ) -> <IntelligentScissorsMB as OpenCVTypeExternContainer>::ExternSendMut

Return the underlying raw pointer while consuming this wrapper.

fn as_raw( &self, ) -> <IntelligentScissorsMB as OpenCVTypeExternContainer>::ExternSend

Return the underlying raw pointer.

fn as_raw_mut( &mut self, ) -> <IntelligentScissorsMB as OpenCVTypeExternContainer>::ExternSendMut

Return the underlying mutable raw pointer

impl Clone for IntelligentScissorsMB

fn clone(&self) -> Self

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for IntelligentScissorsMB

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

Formats the value using the given formatter.

impl Drop for IntelligentScissorsMB

fn drop(&mut self)

Executes the destructor for this type.

impl IntelligentScissorsMBTrait for IntelligentScissorsMB

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

fn set_weights( &mut self, weight_non_edge: f32, weight_gradient_direction: f32, weight_gradient_magnitude: f32, ) -> Result<IntelligentScissorsMB>

Specify weights of feature functions

fn set_gradient_magnitude_max_limit( &mut self, gradient_magnitude_threshold_max: f32, ) -> Result<IntelligentScissorsMB>

Specify gradient magnitude max value threshold

fn set_gradient_magnitude_max_limit_def( &mut self, ) -> Result<IntelligentScissorsMB>

Specify gradient magnitude max value threshold

fn set_edge_feature_zero_crossing_parameters( &mut self, gradient_magnitude_min_value: f32, ) -> Result<IntelligentScissorsMB>

Switch to “Laplacian Zero-Crossing” edge feature extractor and specify its parameters

fn set_edge_feature_zero_crossing_parameters_def( &mut self, ) -> Result<IntelligentScissorsMB>

Switch to “Laplacian Zero-Crossing” edge feature extractor and specify its parameters

fn set_edge_feature_canny_parameters( &mut self, threshold1: f64, threshold2: f64, aperture_size: i32, l2gradient: bool, ) -> Result<IntelligentScissorsMB>

Switch edge feature extractor to use Canny edge detector

fn set_edge_feature_canny_parameters_def( &mut self, threshold1: f64, threshold2: f64, ) -> Result<IntelligentScissorsMB>

Switch edge feature extractor to use Canny edge detector

fn apply_image( &mut self, image: &impl ToInputArray, ) -> Result<IntelligentScissorsMB>

Specify input image and extract image features

fn apply_image_features( &mut self, non_edge: &impl ToInputArray, gradient_direction: &impl ToInputArray, gradient_magnitude: &impl ToInputArray, image: &impl ToInputArray, ) -> Result<IntelligentScissorsMB>

Specify custom features of input image

fn apply_image_features_def( &mut self, non_edge: &impl ToInputArray, gradient_direction: &impl ToInputArray, gradient_magnitude: &impl ToInputArray, ) -> Result<IntelligentScissorsMB>

Specify custom features of input image

fn build_map(&mut self, source_pt: Point) -> Result<()>

Prepares a map of optimal paths for the given source point on the image

impl IntelligentScissorsMBTraitConst for IntelligentScissorsMB

fn as_raw_IntelligentScissorsMB(&self) -> *const c_void

fn get_contour( &self, target_pt: Point, contour: &mut impl ToOutputArray, backward: bool, ) -> Result<()>

Extracts optimal contour for the given target point on the image

fn get_contour_def( &self, target_pt: Point, contour: &mut impl ToOutputArray, ) -> Result<()>

Extracts optimal contour for the given target point on the image

impl Send for IntelligentScissorsMB