RadialGradientLabel2d
Performs a two-dimensional gradient projection with a directional vector defined by a set of object centers of a label image.
Access to parameter description
For an introduction:
Notices:
Access to parameter description
For an introduction:
- section Edge Detection
- section Introduction to Gradient
- section Gradient Projections
Notices:
- A common way to get input images $G_x$ and $G_y$ is to apply the Canny-Deriche operator in the X and Y directions, using GradientOperator2d with a spread of 60.
- The projected resulting gradient image shown above is the Normal Gradient. Simultaneously, the tangential gradient could be computed with the ProjectionMode option GRADIENT_NORMAL_TANGENTIAL.
Function Syntax
This function returns a RadialGradientLabel2dOutput structure containing outputNormalImage and outputTangentImage.
// Output structure of the radialGradientLabel2d function. struct RadialGradientLabel2dOutput { /// The normal gradient output image. std::shared_ptr< iolink::ImageView > outputNormalImage; /// The tangent gradient output image. std::shared_ptr< iolink::ImageView > outputTangentImage; }; // Function prototype
RadialGradientLabel2dOutput radialGradientLabel2d( std::shared_ptr< iolink::ImageView > inputImageX, std::shared_ptr< iolink::ImageView > inputImageY, std::shared_ptr< iolink::ImageView > inputMarkerImage, RadialGradientLabel2d::ProjectionMode projectionMode, std::shared_ptr< iolink::ImageView > outputNormalImage = nullptr, std::shared_ptr< iolink::ImageView > outputTangentImage = nullptr );
This function returns a tuple containing output_normal_image and output_tangent_image.
// Function prototype. radial_gradient_label_2d(input_image_x: idt.ImageType, input_image_y: idt.ImageType, input_marker_image: idt.ImageType, projection_mode: RadialGradientLabel2d.ProjectionMode = RadialGradientLabel2d.ProjectionMode.GRADIENT_NORMAL, output_normal_image: idt.ImageType = None, output_tangent_image: idt.ImageType = None) -> Tuple[idt.ImageType, idt.ImageType]
This function returns a RadialGradientLabel2dOutput structure containing outputNormalImage and outputTangentImage.
/// Output structure of the RadialGradientLabel2d function. public struct RadialGradientLabel2dOutput { /// The normal gradient output image. public IOLink.ImageView outputNormalImage; /// The tangent gradient output image. public IOLink.ImageView outputTangentImage; }; // Function prototype. public static RadialGradientLabel2dOutput RadialGradientLabel2d( IOLink.ImageView inputImageX, IOLink.ImageView inputImageY, IOLink.ImageView inputMarkerImage, RadialGradientLabel2d.ProjectionMode projectionMode = ImageDev.RadialGradientLabel2d.ProjectionMode.GRADIENT_NORMAL, IOLink.ImageView outputNormalImage = null, IOLink.ImageView outputTangentImage = null );
Class Syntax
Parameters
Parameter Name | Description | Type | Supported Values | Default Value | |||||
---|---|---|---|---|---|---|---|---|---|
inputImageX |
The X-gradient input image. | Image | Grayscale or Multispectral | nullptr | |||||
inputImageY |
The Y-gradient input image. | Image | Grayscale or Multispectral | nullptr | |||||
inputMarkerImage |
The marker input image of the label objects to consider as centers. | Image | Label | nullptr | |||||
projectionMode |
The output images to be computed.
|
Enumeration | GRADIENT_NORMAL | ||||||
outputNormalImage |
The normal gradient output image. | Image | nullptr | ||||||
outputTangentImage |
The tangent gradient output image. | Image | nullptr |
Parameter Name | Description | Type | Supported Values | Default Value | |||||
---|---|---|---|---|---|---|---|---|---|
input_image_x |
The X-gradient input image. | image | Grayscale or Multispectral | None | |||||
input_image_y |
The Y-gradient input image. | image | Grayscale or Multispectral | None | |||||
input_marker_image |
The marker input image of the label objects to consider as centers. | image | Label | None | |||||
projection_mode |
The output images to be computed.
|
enumeration | GRADIENT_NORMAL | ||||||
output_normal_image |
The normal gradient output image. | image | None | ||||||
output_tangent_image |
The tangent gradient output image. | image | None |
Parameter Name | Description | Type | Supported Values | Default Value | |||||
---|---|---|---|---|---|---|---|---|---|
inputImageX |
The X-gradient input image. | Image | Grayscale or Multispectral | null | |||||
inputImageY |
The Y-gradient input image. | Image | Grayscale or Multispectral | null | |||||
inputMarkerImage |
The marker input image of the label objects to consider as centers. | Image | Label | null | |||||
projectionMode |
The output images to be computed.
|
Enumeration | GRADIENT_NORMAL | ||||||
outputNormalImage |
The normal gradient output image. | Image | null | ||||||
outputTangentImage |
The tangent gradient output image. | Image | null |
Object Examples
auto polystyrene = ioformat::readImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene.tif" ); auto polystyrene_sep_label = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene_sep_label.vip" ); RadialGradientLabel2d radialGradientLabel2dAlgo; radialGradientLabel2dAlgo.setInputImageX( polystyrene ); radialGradientLabel2dAlgo.setInputImageY( polystyrene ); radialGradientLabel2dAlgo.setInputMarkerImage( polystyrene_sep_label ); radialGradientLabel2dAlgo.setProjectionMode( RadialGradientLabel2d::ProjectionMode::GRADIENT_NORMAL ); radialGradientLabel2dAlgo.execute(); std::cout << "outputNormalImage:" << radialGradientLabel2dAlgo.outputNormalImage()->toString(); std::cout << "outputTangentImage:" << radialGradientLabel2dAlgo.outputTangentImage()->toString();
polystyrene = ioformat.read_image(imagedev_data.get_image_path("polystyrene.tif")) polystyrene_sep_label = imagedev.read_vip_image(imagedev_data.get_image_path("polystyrene_sep_label.vip")) radial_gradient_label_2d_algo = imagedev.RadialGradientLabel2d() radial_gradient_label_2d_algo.input_image_x = polystyrene radial_gradient_label_2d_algo.input_image_y = polystyrene radial_gradient_label_2d_algo.input_marker_image = polystyrene_sep_label radial_gradient_label_2d_algo.projection_mode = imagedev.RadialGradientLabel2d.GRADIENT_NORMAL radial_gradient_label_2d_algo.execute() print("output_normal_image:", str(radial_gradient_label_2d_algo.output_normal_image)) print("output_tangent_image:", str(radial_gradient_label_2d_algo.output_tangent_image))
ImageView polystyrene = ViewIO.ReadImage( @"Data/images/polystyrene.tif" ); ImageView polystyrene_sep_label = Data.ReadVipImage( @"Data/images/polystyrene_sep_label.vip" ); RadialGradientLabel2d radialGradientLabel2dAlgo = new RadialGradientLabel2d { inputImageX = polystyrene, inputImageY = polystyrene, inputMarkerImage = polystyrene_sep_label, projectionMode = RadialGradientLabel2d.ProjectionMode.GRADIENT_NORMAL }; radialGradientLabel2dAlgo.Execute(); Console.WriteLine( "outputNormalImage:" + radialGradientLabel2dAlgo.outputNormalImage.ToString() ); Console.WriteLine( "outputTangentImage:" + radialGradientLabel2dAlgo.outputTangentImage.ToString() );
Function Examples
auto polystyrene = ioformat::readImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene.tif" ); auto polystyrene_sep_label = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene_sep_label.vip" ); auto result = radialGradientLabel2d( polystyrene, polystyrene, polystyrene_sep_label, RadialGradientLabel2d::ProjectionMode::GRADIENT_NORMAL ); std::cout << "outputNormalImage:" << result.outputNormalImage->toString(); std::cout << "outputTangentImage:" << result.outputTangentImage->toString();
polystyrene = ioformat.read_image(imagedev_data.get_image_path("polystyrene.tif")) polystyrene_sep_label = imagedev.read_vip_image(imagedev_data.get_image_path("polystyrene_sep_label.vip")) result_output_normal_image, result_output_tangent_image = imagedev.radial_gradient_label_2d(polystyrene, polystyrene, polystyrene_sep_label, imagedev.RadialGradientLabel2d.GRADIENT_NORMAL) print("output_normal_image:", str(result_output_normal_image)) print("output_tangent_image:", str(result_output_tangent_image))
ImageView polystyrene = ViewIO.ReadImage( @"Data/images/polystyrene.tif" ); ImageView polystyrene_sep_label = Data.ReadVipImage( @"Data/images/polystyrene_sep_label.vip" ); Processing.RadialGradientLabel2dOutput result = Processing.RadialGradientLabel2d( polystyrene, polystyrene, polystyrene_sep_label, RadialGradientLabel2d.ProjectionMode.GRADIENT_NORMAL ); Console.WriteLine( "outputNormalImage:" + result.outputNormalImage.ToString() ); Console.WriteLine( "outputTangentImage:" + result.outputTangentImage.ToString() );