[−][src]Trait opencv::bioinspired::prelude::TransientAreasSegmentationModule

pub trait TransientAreasSegmentationModule: AlgorithmTrait {
    fn as_raw_TransientAreasSegmentationModule(&self) -> *const c_void;

    fn as_raw_mut_TransientAreasSegmentationModule(&mut self) -> *mut c_void;

    fn get_size(&mut self) -> Result<Size> { ... }

    fn setup_from_file(
        &mut self, 
        segmentation_parameter_file: &str, 
        apply_default_setup_on_failure: bool
    ) -> Result<()> { ... }

    fn setup_from_storage(
        &mut self, 
        fs: &mut FileStorage, 
        apply_default_setup_on_failure: bool
    ) -> Result<()> { ... }

    fn setup(&mut self, new_parameters: SegmentationParameters) -> Result<()> { ... }

    fn get_parameters(&mut self) -> Result<SegmentationParameters> { ... }

    fn print_setup(&mut self) -> Result<String> { ... }

    fn write(&self, fs: &str) -> Result<()> { ... }

    fn write_to_storage(&self, fs: &mut FileStorage) -> Result<()> { ... }

    fn run(
        &mut self, 
        input_to_segment: &dyn ToInputArray, 
        channel_index: i32
    ) -> Result<()> { ... }

    fn get_segmentation_picture(
        &mut self, 
        transient_areas: &mut dyn ToOutputArray
    ) -> Result<()> { ... }

    fn clear_all_buffers(&mut self) -> Result<()> { ... }
}

class which provides a transient/moving areas segmentation module

perform a locally adapted segmentation by using the retina magno input data Based on Alexandre BENOIT thesis: "Le système visuel humain au secours de la vision par ordinateur"

3 spatio temporal filters are used:

  • a first one which filters the noise and local variations of the input motion energy
  • a second (more powerfull low pass spatial filter) which gives the neighborhood motion energy the segmentation consists in the comparison of these both outputs, if the local motion energy is higher to the neighborhood otion energy, then the area is considered as moving and is segmented
  • a stronger third low pass filter helps decision by providing a smooth information about the "motion context" in a wider area

Required methods

fn as_raw_TransientAreasSegmentationModule(&self) -> *const c_void

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

Loading content...

Provided methods

fn get_size(&mut self) -> Result<Size>

return the sze of the manage input and output images

fn setup_from_file(
    &mut self,
    segmentation_parameter_file: &str,
    apply_default_setup_on_failure: bool
) -> Result<()>

try to open an XML segmentation parameters file to adjust current segmentation instance setup

  • if the xml file does not exist, then default setup is applied
  • warning, Exceptions are thrown if read XML file is not valid

Parameters

  • segmentationParameterFile: : the parameters filename
  • applyDefaultSetupOnFailure: : set to true if an error must be thrown on error

C++ default parameters

  • segmentation_parameter_file: ""
  • apply_default_setup_on_failure: true

fn setup_from_storage(
    &mut self,
    fs: &mut FileStorage,
    apply_default_setup_on_failure: bool
) -> Result<()>

try to open an XML segmentation parameters file to adjust current segmentation instance setup

  • if the xml file does not exist, then default setup is applied
  • warning, Exceptions are thrown if read XML file is not valid

Parameters

  • fs: : the open Filestorage which contains segmentation parameters
  • applyDefaultSetupOnFailure: : set to true if an error must be thrown on error

C++ default parameters

  • apply_default_setup_on_failure: true

fn setup(&mut self, new_parameters: SegmentationParameters) -> Result<()>

try to open an XML segmentation parameters file to adjust current segmentation instance setup

  • if the xml file does not exist, then default setup is applied
  • warning, Exceptions are thrown if read XML file is not valid

Parameters

  • newParameters: : a parameters structures updated with the new target configuration

fn get_parameters(&mut self) -> Result<SegmentationParameters>

return the current parameters setup

fn print_setup(&mut self) -> Result<String>

parameters setup display method

Returns

a string which contains formatted parameters information

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

write xml/yml formated parameters information

Parameters

  • fs: : the filename of the xml file that will be open and writen with formatted parameters information

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

write xml/yml formated parameters information

Parameters

  • fs: : a cv::Filestorage object ready to be filled

fn run(
    &mut self,
    input_to_segment: &dyn ToInputArray,
    channel_index: i32
) -> Result<()>

main processing method, get result using methods getSegmentationPicture()

Parameters

  • inputToSegment: : the image to process, it must match the instance buffer size !
  • channelIndex: : the channel to process in case of multichannel images

C++ default parameters

  • channel_index: 0

fn get_segmentation_picture(
    &mut self,
    transient_areas: &mut dyn ToOutputArray
) -> Result<()>

access function return the last segmentation result: a boolean picture which is resampled between 0 and 255 for a display purpose

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

cleans all the buffers of the instance

Loading content...

Implementations

impl<'_> dyn TransientAreasSegmentationModule + '_[src]

pub fn create(
    input_size: Size
) -> Result<Ptr<dyn TransientAreasSegmentationModule>>[src]

allocator

Parameters

  • inputSize: : size of the images input to segment (output will be the same size)

Implementors

Loading content...