Applies the arithmetic mean filter to an image.
An arithmetic mean filter operation on an image removes short tailed noise such as uniform and Gaussian type noise from the image at the cost of blurring the image. The arithmetic mean filter is defined as the average of all pixels within a local region of an image.
This C#/VB.NET code shows how to load an image from disk, apply the arithmetic mean filter to the image and save the result to a new image file.
Class MeanCommandExample
Public Sub ProcessImage()
' [ do not forget to set your image file path here! ]
' create an image collection
Using images As New Vintasoft.Imaging.ImageCollection()
' add image to the image collection
images.Add("Flower.jpg")
Try
' create the image processing command
Dim command As New Vintasoft.Imaging.ImageProcessing.Filters.MeanCommand()
' subscribe to progress event of image processing command
AddHandler command.Progress, New System.EventHandler(Of Vintasoft.Imaging.ImageProcessing.ImageProcessingProgressEventArgs)(AddressOf command_Progress)
Try
' for each image in image collection
For Each image As Vintasoft.Imaging.VintasoftImage In images
' apply the image processing command to the image
command.ExecuteInPlace(image)
Next
Catch ex As Vintasoft.Imaging.ImageProcessing.ImageProcessingException
' show error message
System.Windows.Forms.MessageBox.Show(ex.Message)
Return
End Try
' save the processed image collection to a new TIFF file
images.SaveSync("processed-image.tif")
Finally
images.ClearAndDisposeItems()
End Try
End Using
End Sub
Private Sub command_Progress(sender As Object, e As Vintasoft.Imaging.ImageProcessing.ImageProcessingProgressEventArgs)
' update progress info using e.Progress property
' ...
' cancel execution of command using e.Cancel property if necessary
' ...
End Sub
End Class
class MeanCommandExample
{
public void ProcessImage()
{
// [ do not forget to set your image file path here! ]
// create an image collection
using (Vintasoft.Imaging.ImageCollection images = new Vintasoft.Imaging.ImageCollection())
{
// add image to the image collection
images.Add("Flower.jpg");
try
{
// create the image processing command
Vintasoft.Imaging.ImageProcessing.Filters.MeanCommand command =
new Vintasoft.Imaging.ImageProcessing.Filters.MeanCommand();
// subscribe to progress event of image processing command
command.Progress +=
new System.EventHandler<Vintasoft.Imaging.ImageProcessing.ImageProcessingProgressEventArgs>(command_Progress);
try
{
// for each image in image collection
foreach (Vintasoft.Imaging.VintasoftImage image in images)
{
// apply the image processing command to the image
command.ExecuteInPlace(image);
}
}
catch (Vintasoft.Imaging.ImageProcessing.ImageProcessingException ex)
{
// show error message
System.Windows.Forms.MessageBox.Show(ex.Message);
return;
}
// save the processed image collection to a new TIFF file
images.SaveSync("processed-image.tif");
}
finally
{
images.ClearAndDisposeItems();
}
}
}
void command_Progress(object sender, Vintasoft.Imaging.ImageProcessing.ImageProcessingProgressEventArgs e)
{
// update progress info using e.Progress property
// ...
// cancel execution of command using e.Cancel property if necessary
// ...
}
}
Target Platforms: .NET9; .NET 8; .NET 7; .NET 6; .NET Framework 4.8, 4.7, 4.6, 4.5, 4.0, 3.5