Delineate3d
Enhances contrast of a three-dimensional image.
Access to parameter description
For an introduction to image filters: see section Images Filtering.
This algorithm provides contrast enhancement of an image using basic morphological transformations.
The delineate filter is based on the fact that a function f is always between the erosion and the dilation of f. E(I(n,m,o))≤I(n,m,o)≤D(I(n,m,o)) For each voxel, the output gray level value is assigned to the closest value between the erosion and the dilation of I(n,m,o): O(n,m,o)={D(I(n,m,o))if [D(I(n,m,o))−;I(n,m,o)]<[E(I(n,m,o))−I(n,m,o)]E(I(n,m,o))otherwise See also
Access to parameter description
For an introduction to image filters: see section Images Filtering.
This algorithm provides contrast enhancement of an image using basic morphological transformations.
The delineate filter is based on the fact that a function f is always between the erosion and the dilation of f. E(I(n,m,o))≤I(n,m,o)≤D(I(n,m,o)) For each voxel, the output gray level value is assigned to the closest value between the erosion and the dilation of I(n,m,o): O(n,m,o)={D(I(n,m,o))if [D(I(n,m,o))−;I(n,m,o)]<[E(I(n,m,o))−I(n,m,o)]E(I(n,m,o))otherwise See also
Function Syntax
This function returns outputImage.
// Function prototype
std::shared_ptr< iolink::ImageView > delineate3d( std::shared_ptr< iolink::ImageView > inputImage, int32_t kernelRadius, Delineate3d::Neighborhood neighborhood, std::shared_ptr< iolink::ImageView > outputImage = nullptr );
Class Syntax
Parameters
| Parameter Name | Description | Type | Supported Values | Default Value | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
inputImage |
The input image. | Image | Binary, Label, Grayscale or Multispectral | nullptr | ||||||
|
kernelRadius |
The half size of the cube structuring element. A structuring element always has an odd side length (3x3x3, 5x5x5, etc.) which is defined by twice the kernel radius + 1. | Int32 | >=1 | 3 | ||||||
|
neighborhood |
The 3D neighborhood configuration. This parameter is ignored with a 2D input image.
|
Enumeration | CONNECTIVITY_26 | |||||||
 |
outputImage |
The output image. Its dimensions and type are forced to the same values as the input. | Image | nullptr | |||||||
Object Examples
auto foam = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "foam.vip" ); Delineate3d delineate3dAlgo; delineate3dAlgo.setInputImage( foam ); delineate3dAlgo.setKernelRadius( 3 ); delineate3dAlgo.setNeighborhood( Delineate3d::Neighborhood::CONNECTIVITY_26 ); delineate3dAlgo.execute(); std::cout << "outputImage:" << delineate3dAlgo.outputImage()->toString();
Function Examples
auto foam = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "foam.vip" ); auto result = delineate3d( foam, 3, Delineate3d::Neighborhood::CONNECTIVITY_26 ); std::cout << "outputImage:" << result->toString();