bioinspired_TransientAreasSegmentationModule
import { bioinspired_TransientAreasSegmentationModule } from '@banou/opencv-wasm'Use after await initOpenCV(). See the initialization and named imports guide.
Native object: release it with using or delete(). Factories can return null; check before calling methods. Inherits Algorithm.
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
Constructors and members
static create
bioinspired_TransientAreasSegmentationModule.create: allocator
create(inputSize: Size): bioinspired_TransientAreasSegmentationModule | null;inputSize: size of the images input to segment (output will be the same size)
The bioinspired_TransientAreasSegmentationModule | null result.
clone
Create another handle to the same native object. This retains the object without copying its pixels or algorithm state; dispose both handles separately.
clone(): this;The this result.
getSize
return the sze of the manage input and output images
getSize(): Size;The Size result.
setup
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
setup(segmentationParameterFile: EmbindString, applyDefaultSetupOnFailure: boolean): void;3 available overloads
setup(): void;setup(segmentationParameterFile: EmbindString): void;setup(segmentationParameterFile: EmbindString, applyDefaultSetupOnFailure: boolean): void;segmentationParameterFile: the parameters filename
applyDefaultSetupOnFailure: set to true if an error must be thrown on error
printSetup
parameters setup display method
printSetup(): string;a string which contains formatted parameters information
write
write xml/yml formated parameters information
write(fs: EmbindString): void;fs: the filename of the xml file that will be open and writen with formatted parameters information
run
main processing method, get result using methods getSegmentationPicture()
run(inputToSegment: Mat, channelIndex: number): void;2 available overloads
run(inputToSegment: Mat): void;run(inputToSegment: Mat, channelIndex: number): void;inputToSegment: the image to process, it must match the instance buffer size !
channelIndex: the channel to process in case of multichannel images
getSegmentationPicture
access function return the last segmentation result: a boolean picture which is resampled between 0 and 255 for a display purpose
getSegmentationPicture(transientAreas: Mat): void;transientAreasOutput destination, filled by the native operation. transient areas argument (Mat).
clearAllBuffers
cleans all the buffers of the instance
clearAllBuffers(): void;These signatures describe this package. Upstream documentation can mention optional backends that are absent from this build. Check runtime compatibility before choosing a backend or file format.