HExtrema3d
Computes the regional extrema in a 3d grayscale image and marks them in a 3d binary image.
Access to parameter description
For an introduction:
The input is subtracted from the contrast coefficient h, then a grayscale reconstruction is performed on the result of this subtraction.
The regional extrema of the reconstructed image are called the HExtrema.
The algorithm only works with homogeneous gray level objects. The appropriate h value depends on the local contrast between the gray level objects to detect. Increasing this factor too much may eliminate some previously merged objects.
This algorithm is useful for filtering noisy extrema sets. It also can be used as particle markers in various algorithms; for example, watershed detection.
See also
Access to parameter description
For an introduction:
- section Mathematical Morphology
- section Geodesic Transformations
The input is subtracted from the contrast coefficient h, then a grayscale reconstruction is performed on the result of this subtraction.
The regional extrema of the reconstructed image are called the HExtrema.
The algorithm only works with homogeneous gray level objects. The appropriate h value depends on the local contrast between the gray level objects to detect. Increasing this factor too much may eliminate some previously merged objects.
This algorithm is useful for filtering noisy extrema sets. It also can be used as particle markers in various algorithms; for example, watershed detection.
See also
Function Syntax
This function returns outputBinaryImage.
// Function prototype
std::shared_ptr< iolink::ImageView > hExtrema3d( std::shared_ptr< iolink::ImageView > inputImage, HExtrema3d::ExtremaType extremaType, uint32_t contrast, HExtrema3d::Neighborhood neighborhood, std::shared_ptr< iolink::ImageView > outputBinaryImage = NULL );
This function returns outputBinaryImage.
// Function prototype. h_extrema_3d( input_image, extrema_type = HExtrema3d.ExtremaType.MAXIMA, contrast = 4, neighborhood = HExtrema3d.Neighborhood.CONNECTIVITY_26, output_binary_image = None )
This function returns outputBinaryImage.
// Function prototype. public static IOLink.ImageView HExtrema3d( IOLink.ImageView inputImage, HExtrema3d.ExtremaType extremaType = ImageDev.HExtrema3d.ExtremaType.MAXIMA, UInt32 contrast = 4, HExtrema3d.Neighborhood neighborhood = ImageDev.HExtrema3d.Neighborhood.CONNECTIVITY_26, IOLink.ImageView outputBinaryImage = null );
Class Syntax
Parameters
Parameter Name | Description | Type | Supported Values | Default Value | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
inputImage |
The input grayscale image. | Image | Grayscale | nullptr | |||||||
extremaType |
The type of extrema to detect.
|
Enumeration | MAXIMA | ||||||||
contrast |
The contrast level h. | UInt32 | Any value | 4 | |||||||
neighborhood |
The 3D neighborhood configuration.
|
Enumeration | CONNECTIVITY_26 | ||||||||
outputBinaryImage |
The output binary. Its dimensions is forced to the same values as the input. | Image | nullptr |
Parameter Name | Description | Type | Supported Values | Default Value | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
input_image |
The input grayscale image. | image | Grayscale | None | |||||||
extrema_type |
The type of extrema to detect.
|
enumeration | MAXIMA | ||||||||
contrast |
The contrast level h. | uint32 | Any value | 4 | |||||||
neighborhood |
The 3D neighborhood configuration.
|
enumeration | CONNECTIVITY_26 | ||||||||
output_binary_image |
The output binary. Its dimensions is forced to the same values as the input. | image | None |
Parameter Name | Description | Type | Supported Values | Default Value | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
inputImage |
The input grayscale image. | Image | Grayscale | null | |||||||
extremaType |
The type of extrema to detect.
|
Enumeration | MAXIMA | ||||||||
contrast |
The contrast level h. | UInt32 | Any value | 4 | |||||||
neighborhood |
The 3D neighborhood configuration.
|
Enumeration | CONNECTIVITY_26 | ||||||||
outputBinaryImage |
The output binary. Its dimensions is forced to the same values as the input. | Image | null |
Object Examples
auto foam = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "foam.vip" ); HExtrema3d hExtrema3dAlgo; hExtrema3dAlgo.setInputImage( foam ); hExtrema3dAlgo.setExtremaType( HExtrema3d::ExtremaType::MAXIMA ); hExtrema3dAlgo.setContrast( 4 ); hExtrema3dAlgo.setNeighborhood( HExtrema3d::Neighborhood::CONNECTIVITY_26 ); hExtrema3dAlgo.execute(); std::cout << "outputBinaryImage:" << hExtrema3dAlgo.outputBinaryImage()->toString();
foam = imagedev.read_vip_image(imagedev_data.get_image_path("foam.vip")) h_extrema_3d_algo = imagedev.HExtrema3d() h_extrema_3d_algo.input_image = foam h_extrema_3d_algo.extrema_type = imagedev.HExtrema3d.MAXIMA h_extrema_3d_algo.contrast = 4 h_extrema_3d_algo.neighborhood = imagedev.HExtrema3d.CONNECTIVITY_26 h_extrema_3d_algo.execute() print( "output_binary_image:", str( h_extrema_3d_algo.output_binary_image ) )
ImageView foam = Data.ReadVipImage( @"Data/images/foam.vip" ); HExtrema3d hExtrema3dAlgo = new HExtrema3d { inputImage = foam, extremaType = HExtrema3d.ExtremaType.MAXIMA, contrast = 4, neighborhood = HExtrema3d.Neighborhood.CONNECTIVITY_26 }; hExtrema3dAlgo.Execute(); Console.WriteLine( "outputBinaryImage:" + hExtrema3dAlgo.outputBinaryImage.ToString() );
Function Examples
auto foam = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "foam.vip" ); auto result = hExtrema3d( foam, HExtrema3d::ExtremaType::MAXIMA, 4, HExtrema3d::Neighborhood::CONNECTIVITY_26 ); std::cout << "outputBinaryImage:" << result->toString();
foam = imagedev.read_vip_image(imagedev_data.get_image_path("foam.vip")) result = imagedev.h_extrema_3d( foam, imagedev.HExtrema3d.MAXIMA, 4, imagedev.HExtrema3d.CONNECTIVITY_26 ) print( "output_binary_image:", str( result ) )
ImageView foam = Data.ReadVipImage( @"Data/images/foam.vip" ); IOLink.ImageView result = Processing.HExtrema3d( foam, HExtrema3d.ExtremaType.MAXIMA, 4, HExtrema3d.Neighborhood.CONNECTIVITY_26 ); Console.WriteLine( "outputBinaryImage:" + result.ToString() );