Exponential
Calculates the exponential value of each pixel in a floating point image.
Access to parameter description
This algorithm applies a pointwise operator that calculates the exponential value of each pixel: $$ O(i,j)=exp(I(i,j)) $$ It works only with a floating point input image, and generates another floating point image.
Note: The exponential operator is inclined to produce overflows. Theoretically, it cannot be applied on values greater than 88.7. For convenience, it is recommened to apply it on lower values (for example, a data range like [0, 10]).
See also
Access to parameter description
This algorithm applies a pointwise operator that calculates the exponential value of each pixel: $$ O(i,j)=exp(I(i,j)) $$ It works only with a floating point input image, and generates another floating point image.
Note: The exponential operator is inclined to produce overflows. Theoretically, it cannot be applied on values greater than 88.7. For convenience, it is recommened to apply it on lower values (for example, a data range like [0, 10]).
See also
Function Syntax
This function returns outputImage.
// Function prototype
std::shared_ptr< iolink::ImageView > exponential( std::shared_ptr< iolink::ImageView > inputImage, std::shared_ptr< iolink::ImageView > outputImage = NULL );
This function returns outputImage.
// Function prototype. exponential( input_image, output_image = None )
This function returns outputImage.
// Function prototype. public static IOLink.ImageView Exponential( IOLink.ImageView inputImage, IOLink.ImageView outputImage = null );
Class Syntax
Parameters
Parameter Name | Description | Type | Supported Values | Default Value | |
---|---|---|---|---|---|
![]() |
inputImage |
The input floating point image. | Image | Grayscale or Multispectral | nullptr |
![]() |
outputImage |
The output floating point image. Its dimensions are forced to the same values as the input. | Image | nullptr |
Parameter Name | Description | Type | Supported Values | Default Value | |
---|---|---|---|---|---|
![]() |
input_image |
The input floating point image. | image | Grayscale or Multispectral | None |
![]() |
output_image |
The output floating point image. Its dimensions are forced to the same values as the input. | image | None |
Parameter Name | Description | Type | Supported Values | Default Value | |
---|---|---|---|---|---|
![]() |
inputImage |
The input floating point image. | Image | Grayscale or Multispectral | null |
![]() |
outputImage |
The output floating point image. Its dimensions are forced to the same values as the input. | Image | null |
Object Examples
auto polystyrene_float = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene_float.vip" ); Exponential exponentialAlgo; exponentialAlgo.setInputImage( polystyrene_float ); exponentialAlgo.execute(); std::cout << "outputImage:" << exponentialAlgo.outputImage()->toString();
polystyrene_float = imagedev.read_vip_image(imagedev_data.get_image_path("polystyrene_float.vip")) exponential_algo = imagedev.Exponential() exponential_algo.input_image = polystyrene_float exponential_algo.execute() print( "output_image:", str( exponential_algo.output_image ) )
ImageView polystyrene_float = Data.ReadVipImage( @"Data/images/polystyrene_float.vip" ); Exponential exponentialAlgo = new Exponential { inputImage = polystyrene_float }; exponentialAlgo.Execute(); Console.WriteLine( "outputImage:" + exponentialAlgo.outputImage.ToString() );
Function Examples
auto polystyrene_float = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene_float.vip" ); auto result = exponential( polystyrene_float ); std::cout << "outputImage:" << result->toString();
polystyrene_float = imagedev.read_vip_image(imagedev_data.get_image_path("polystyrene_float.vip")) result = imagedev.exponential( polystyrene_float ) print( "output_image:", str( result ) )
ImageView polystyrene_float = Data.ReadVipImage( @"Data/images/polystyrene_float.vip" ); IOLink.ImageView result = Processing.Exponential( polystyrene_float ); Console.WriteLine( "outputImage:" + result.ToString() );