ImageDev

EntropyFilter3d

Computes, for each voxel of a three-dimensional image, the entropy value of its neighborhood.

Access to parameter description

For an introduction: This algorithm replaces each voxel of the output image by the entropy value of its neighborhood in the input image. The entropy operator is given by: $$ entropy=-\sum_{n}p(n)\cdot\log p(n) $$ The shape of the neighborhood can be: See also

Function Syntax

This function returns the outputImage output parameter. 
// Function prototype.
std::shared_ptr< iolink::ImageView >
entropyFilter3d( std::shared_ptr< iolink::ImageView > inputImage,
                 EntropyFilter3d::KernelShape kernelShape,
                 uint32_t kernelRadius,
                 std::shared_ptr< iolink::ImageView > outputImage = NULL );
This function returns the outputImage output parameter. 
// Function prototype.
entropy_filter_3d( input_image,
                   kernel_shape = EntropyFilter3d.KernelShape.BALL,
                   kernel_radius = 3,
                   output_image = None )
This function returns the outputImage output parameter. 
// Function prototype.
public static IOLink.ImageView
EntropyFilter3d( IOLink.ImageView inputImage,
                 EntropyFilter3d.KernelShape kernelShape = ImageDev.EntropyFilter3d.KernelShape.BALL,
                 UInt32 kernelRadius = 3,
                 IOLink.ImageView outputImage = null );

Class Syntax

Parameters

Class Name EntropyFilter3d

Parameter Name Description Type Supported Values Default Value
input
inputImage
The input image. Image Binary, Label, Grayscale or Multispectral nullptr
input
kernelRadius
The kernel half side length or radius, in voxels. In case of a cube, a value N produces a cube window of 2N+1 voxels side length. In case of a ball, a value N produces a ball with a 2N+1 voxels diameter. UInt32 >=1 3
input
kernelShape
The shape of the window defining the neighborhood.
CUBE The sliding window is a cube.
BALL The sliding window is a ball.
Enumeration BALL
output
outputImage
The output image. Its dimensions are forced to the same values as the input. Its data type is forced to floating point. Image nullptr

Object Examples

auto foam = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "foam.vip" );

EntropyFilter3d entropyFilter3dAlgo;
entropyFilter3dAlgo.setInputImage( foam );
entropyFilter3dAlgo.setKernelShape( EntropyFilter3d::KernelShape::CUBE );
entropyFilter3dAlgo.setKernelRadius( 3 );
entropyFilter3dAlgo.execute();

std::cout << "outputImage:" << entropyFilter3dAlgo.outputImage()->toString();

foam = imagedev.read_vip_image(imagedev_data.get_image_path("foam.vip"))

entropy_filter_3d_algo = imagedev.EntropyFilter3d()
entropy_filter_3d_algo.input_image = foam
entropy_filter_3d_algo.kernel_shape = imagedev.EntropyFilter3d.CUBE
entropy_filter_3d_algo.kernel_radius = 3
entropy_filter_3d_algo.execute()

print( "output_image:", str( entropy_filter_3d_algo.output_image ) );

ImageView foam = Data.ReadVipImage( @"Data/images/foam.vip" );

EntropyFilter3d entropyFilter3dAlgo = new EntropyFilter3d
{
    inputImage = foam,
    kernelShape = EntropyFilter3d.KernelShape.CUBE,
    kernelRadius = 3
};
entropyFilter3dAlgo.Execute();

Console.WriteLine( "outputImage:" + entropyFilter3dAlgo.outputImage.ToString() );

Function Examples

auto foam = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "foam.vip" );

auto result = entropyFilter3d( foam, EntropyFilter3d::KernelShape::CUBE, 3 );

std::cout << "outputImage:" << result->toString();

foam = imagedev.read_vip_image(imagedev_data.get_image_path("foam.vip"))

result = imagedev.entropy_filter_3d( foam, imagedev.EntropyFilter3d.CUBE, 3 )

print( "output_image:", str( result ) );

ImageView foam = Data.ReadVipImage( @"Data/images/foam.vip" );

IOLink.ImageView result = Processing.EntropyFilter3d( foam, EntropyFilter3d.KernelShape.CUBE, 3 );

Console.WriteLine( "outputImage:" + result.ToString() );