ImageDev

MajorityFilter3d

Replaces voxels of a three-dimensional image by the most represented value inside their neighborhood.

Access to parameter description

For an introduction to image filters: see Images Filtering.

This algorithm replaces pixels by the value that is most frequent within the filter kernel. If several values occur the same number of times, the module favors the original voxel value.

This algorithm can be especially useful for post-processing a label image, and thus correcting misclassifications of a segmentation process.

See also

Function Syntax

This function returns the outputImage output parameter. 
// Function prototype.
std::shared_ptr< iolink::ImageView >
majorityFilter3d( std::shared_ptr< iolink::ImageView > inputImage,
                  int32_t kernelSizeX,
                  int32_t kernelSizeY,
                  int32_t kernelSizeZ,
                  std::shared_ptr< iolink::ImageView > outputImage = NULL );
This function returns the outputImage output parameter. 
// Function prototype.
majority_filter_3d( input_image,
                    kernel_size_x = 3,
                    kernel_size_y = 3,
                    kernel_size_z = 3,
                    output_image = None )
This function returns the outputImage output parameter. 
// Function prototype.
public static IOLink.ImageView
MajorityFilter3d( IOLink.ImageView inputImage,
                  Int32 kernelSizeX = 3,
                  Int32 kernelSizeY = 3,
                  Int32 kernelSizeZ = 3,
                  IOLink.ImageView outputImage = null );

Class Syntax

Parameters

Class Name MajorityFilter3d

Parameter Name Description Type Supported Values Default Value
input
inputImage
The input image. Image Binary, Label, Grayscale or Multispectral nullptr
input
kernelSizeX
The horizontal kernel size in voxels (odd value). Int32 [1, 100] 3
input
kernelSizeY
The vertical kernel size in voxels (odd value). Int32 [1, 100] 3
input
kernelSizeZ
The depth kernel size in voxels (odd value). Int32 [1, 100] 3
output
outputImage
The output image. Its dimensions, type, and calibration are forced to the same values as the input. Image nullptr

Object Examples

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

MajorityFilter3d majorityFilter3dAlgo;
majorityFilter3dAlgo.setInputImage( foam );
majorityFilter3dAlgo.setKernelSizeX( 3 );
majorityFilter3dAlgo.setKernelSizeY( 3 );
majorityFilter3dAlgo.setKernelSizeZ( 3 );
majorityFilter3dAlgo.execute();

std::cout << "outputImage:" << majorityFilter3dAlgo.outputImage()->toString();

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

majority_filter_3d_algo = imagedev.MajorityFilter3d()
majority_filter_3d_algo.input_image = foam
majority_filter_3d_algo.kernel_size_x = 3
majority_filter_3d_algo.kernel_size_y = 3
majority_filter_3d_algo.kernel_size_z = 3
majority_filter_3d_algo.execute()

print( "output_image:", str( majority_filter_3d_algo.output_image ) );

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

MajorityFilter3d majorityFilter3dAlgo = new MajorityFilter3d
{
    inputImage = foam,
    kernelSizeX = 3,
    kernelSizeY = 3,
    kernelSizeZ = 3
};
majorityFilter3dAlgo.Execute();

Console.WriteLine( "outputImage:" + majorityFilter3dAlgo.outputImage.ToString() );

Function Examples

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

auto result = majorityFilter3d( foam, 3, 3, 3 );

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

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

result = imagedev.majority_filter_3d( foam, 3, 3, 3 )

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

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

IOLink.ImageView result = Processing.MajorityFilter3d( foam, 3, 3, 3 );

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