CentroidPathTortuosity3d

Computes the tortuosity of a path formed by the centroids on each plan along the Z axis of a three-dimensional binary image.

Access to parameter description

Tortuosity is the ratio of the length of a curve to the distance between the ends of it along the Z axis. In this algorithm, the distance between the ends of curve is given by the number of planes along the Z axis.

This algorithm first computes the centroid $c(i)$ of each plane $z(i)$ of the image. Then it computes the path length through the centroids $l=\Sigma d(i)$ and then divides it by the height traveled along the Z axis: $H=z(n)-z(0)$ .

See also

• AxisPropagationDistance3d
• AxisPropagationBinary3d
• EstimateShortestPath3d

// Function prototype.
CentroidTortuosity3dMsr::Ptr
centroidPathTortuosity3d( std::shared_ptr< iolink::ImageView > inputBinaryImage, CentroidTortuosity3dMsr::Ptr outputMeasurement = NULL );

// Function prototype.
centroid_path_tortuosity_3d( input_binary_image, output_measurement = None )

// Function prototype.
public static CentroidTortuosity3dMsr
CentroidPathTortuosity3d( IOLink.ImageView inputBinaryImage, CentroidTortuosity3dMsr outputMeasurement = null );

// Command constructor.
CentroidPathTortuosity3d();

// Get method of the inputBinaryImage parameter.
std::shared_ptr< iolink::ImageView > inputBinaryImage() const;
// Set method of the inputBinaryImage parameter.
void setInputBinaryImage( std::shared_ptr< iolink::ImageView > inputBinaryImage );

// Get method of the outputMeasurement parameter.
CentroidTortuosity3dMsr::Ptr outputMeasurement() const;

// Method to launch the command.
void execute();

// Property of the inputBinaryImage parameter.
CentroidPathTortuosity3d.input_binary_image
// Property of the outputMeasurement parameter.
CentroidPathTortuosity3d.output_measurement

// Method to launch the command.
execute()

// Command constructor.
CentroidPathTortuosity3d()

// Property of the inputBinaryImage parameter.
CentroidPathTortuosity3d.inputBinaryImage
// Property of the outputMeasurement parameter.
CentroidPathTortuosity3d.outputMeasurement

// Method to launch the command.
Execute()

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

CentroidPathTortuosity3d centroidPathTortuosity3dAlgo;
centroidPathTortuosity3dAlgo.setInputBinaryImage( foam_sep );
centroidPathTortuosity3dAlgo.execute();

std::cout << "tortuosityFactor: " << centroidPathTortuosity3dAlgo.outputMeasurement()->tortuosityFactor( ) ;

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

centroid_path_tortuosity_3d_algo = imagedev.CentroidPathTortuosity3d()
centroid_path_tortuosity_3d_algo.input_binary_image = foam_sep
centroid_path_tortuosity_3d_algo.execute()

print( 
print("tortuosityFactor: ", centroid_path_tortuosity_3d_algo.output_measurement.tortuosity_factor( ) ) );

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

CentroidPathTortuosity3d centroidPathTortuosity3dAlgo = new CentroidPathTortuosity3d
{
    inputBinaryImage = foam_sep
};
centroidPathTortuosity3dAlgo.Execute();

Console.WriteLine( "tortuosityFactor: " + centroidPathTortuosity3dAlgo.outputMeasurement.tortuosityFactor( ) );

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

auto result = centroidPathTortuosity3d( foam_sep );

std::cout << "tortuosityFactor: " << result->tortuosityFactor( ) ;

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

result = imagedev.centroid_path_tortuosity_3d( foam_sep )

print( "tortuosityFactor: ", result.tortuosity_factor( ) );

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

CentroidTortuosity3dMsr result = Processing.CentroidPathTortuosity3d( foam_sep );

Console.WriteLine(  "tortuosityFactor: " + result.tortuosityFactor( )  );