ImageDev

BlendWithImage

Produces a linear combination between two images.

Access to parameter description

The formula applied between both input images $I_1$ and $I_2$ is: $$ O(n,m)=\left[\lambda I_1(n,m)+(100-\lambda)I_2(n,m)\right]/100 $$ See also

Function Syntax

This function returns outputImage. 
// Function prototype
std::shared_ptr< iolink::ImageView >
blendWithImage( std::shared_ptr< iolink::ImageView > inputImage1,
                std::shared_ptr< iolink::ImageView > inputImage2,
                double weight,
                std::shared_ptr< iolink::ImageView > outputImage = NULL );
This function returns outputImage. 
// Function prototype.
blend_with_image( input_image1,
                  input_image2,
                  weight = 60,
                  output_image = None )
This function returns outputImage. 
// Function prototype.
public static IOLink.ImageView
BlendWithImage( IOLink.ImageView inputImage1,
                IOLink.ImageView inputImage2,
                double weight = 60,
                IOLink.ImageView outputImage = null );

Class Syntax

Parameters

Parameter Name Description Type Supported Values Default Value
input
inputImage1
The first input image. Image Binary, Label, Grayscale or Multispectral nullptr
input
inputImage2
The second input image (must have the same dimensions as the first input). Image Binary, Label, Grayscale or Multispectral nullptr
input
weight
The percentage of the first image intensity. Float64 Any value 60
output
outputImage
The output image. Image nullptr
Parameter Name Description Type Supported Values Default Value
input
input_image1
The first input image. image Binary, Label, Grayscale or Multispectral None
input
input_image2
The second input image (must have the same dimensions as the first input). image Binary, Label, Grayscale or Multispectral None
input
weight
The percentage of the first image intensity. float64 Any value 60
output
output_image
The output image. image None
Parameter Name Description Type Supported Values Default Value
input
inputImage1
The first input image. Image Binary, Label, Grayscale or Multispectral null
input
inputImage2
The second input image (must have the same dimensions as the first input). Image Binary, Label, Grayscale or Multispectral null
input
weight
The percentage of the first image intensity. Float64 Any value 60
output
outputImage
The output image. Image null

Object Examples

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

BlendWithImage blendWithImageAlgo;
blendWithImageAlgo.setInputImage1( foam );
blendWithImageAlgo.setInputImage2( foam );
blendWithImageAlgo.setWeight( 60.0 );
blendWithImageAlgo.execute();

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

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

blend_with_image_algo = imagedev.BlendWithImage()
blend_with_image_algo.input_image1 = foam
blend_with_image_algo.input_image2 = foam
blend_with_image_algo.weight = 60.0
blend_with_image_algo.execute()

print( "output_image:", str( blend_with_image_algo.output_image ) )

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

BlendWithImage blendWithImageAlgo = new BlendWithImage
{
    inputImage1 = foam,
    inputImage2 = foam,
    weight = 60.0
};
blendWithImageAlgo.Execute();

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

Function Examples

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

auto result = blendWithImage( foam, foam, 60.0 );

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

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

result = imagedev.blend_with_image( foam, foam, 60.0 )

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

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

IOLink.ImageView result = Processing.BlendWithImage( foam, foam, 60.0 );

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