PredefinedSpatial Method

Visual Basic
C#
Objective-C
Java
C++

[FaultContractAttribute(DetailType=Leadtools.Services.Raster.FaultContracts.RasterFault, 
   Action="", 
   Name="", 
   Namespace="", 
   ProtectionLevel=ProtectionLevel.None, 
   HasProtectionLevel=false)]
[OperationContractAttribute("PredefinedSpatial")]
CommandResponse PredefinedSpatial( 
   PredefinedSpatialRequest request
)

'Declaration
 
<FaultContractAttribute(DetailType=Leadtools.Services.Raster.FaultContracts.RasterFault, 
   Action="", 
   Name="", 
   Namespace="", 
   ProtectionLevel=ProtectionLevel.None, 
   HasProtectionLevel=False)>
<OperationContractAttribute("PredefinedSpatial")>
Function PredefinedSpatial( _
   ByVal request As PredefinedSpatialRequest _
) As CommandResponse

'Usage
 
Dim instance As IFiltersProcessingService
Dim request As PredefinedSpatialRequest
Dim value As CommandResponse
 
value = instance.PredefinedSpatial(request)

[FaultContractAttribute(DetailType=Leadtools.Services.Raster.FaultContracts.RasterFault, 
   Action="", 
   Name="", 
   Namespace="", 
   ProtectionLevel=ProtectionLevel.None, 
   HasProtectionLevel=false)]
[OperationContractAttribute("PredefinedSpatial")]
CommandResponse^ PredefinedSpatial( 
   PredefinedSpatialRequest^ request
)

Parameters

request: A System.Runtime.Serialization.DataContractAttribute containing the data that will be used in this PredefinedSpatial operation.

Return Value

A System.Runtime.Serialization.DataContractAttribute containing the modified image resulting from the PredefinedSpatial operation.

A spatial filter recomputes the brightness of each pixel in an image by using a weighted averaging technique that considers the surrounding pixels. Spatial filters are used for operations such as sharpening an image or detecting edges within the image.
The PredefinedSpatial operation works best with 24-bit, 16-bit, or grayscale images. If the image uses a color palette, this command matches the new brightness value of each pixel to the nearest color in the existing palette.
This operation supports 12 and 16-bit grayscale and 48 and 64-bit color images. Support for 12 and 16-bit grayscale and 48 and 64-bit color images is available only in the Document/Medical toolkits.
It is beyond the scope of this documentation to explain how applying various weighting factors affects an image. If you specify your own filter, you should refer to a textbook on image processing. For example, Digital Image Processing: Principles and Applications, by Gregory A. Baxes.
This operation does not support 32-bit grayscale images.

For more information, refer to Detecting and Enhancing Edges and Lines.
For more information, refer to List of Spatial Filters.

Visual Basic
C#
WinRT C#
WinRT JavaScript
Silverlight C#
Silverlight VB

Copy Code

Imports Leadtools.Services
Imports Leadtools.Services.datacontracts._2009._01
Imports Leadtools.Services.raster.datacontracts._2009._01
Imports Leadtools.Services.ImageProcessing.datacontracts._2009._01

Public Sub PredefinedSpatialExample()
   Dim client As FiltersProcessingServiceClient = New FiltersProcessingServiceClient()
   Dim sourceBinaryData As RawBinaryData = New RawBinaryData()
   sourceBinaryData.Data = File.ReadAllBytes(Path.Combine(LEAD_VARS.ImagesDir, "image1.cmp"))

   Dim convertOptions As RasterConvertOptions = New RasterConvertOptions()

   convertOptions.Source = sourceBinaryData
   convertOptions.Destination = Nothing
   convertOptions.Format = RasterImageFormat.Bmp
   convertOptions.FirstPage = 1
   convertOptions.LastPage = 1
   convertOptions.BitsPerPixel = 24
   convertOptions.QualityFactor = 2

   Dim request As PredefinedSpatialRequest = New PredefinedSpatialRequest()

   request.ConvertOptions = convertOptions
   request.RegionData = Nothing
   request.Predefined = SpatialFilterCommandPredefined.EmbossNorth
   Dim response As CommandResponse = client.PredefinedSpatial(request)

   If Not response.Destination Is Nothing Then
      If TypeOf response.Destination Is RawBinaryData Then
         File.WriteAllBytes(Path.Combine(LEAD_VARS.ImagesDir, "PredefinedSpatial.bmp"), (TryCast(response.Destination, RawBinaryData)).Data)
      End If
   End If

   client.Close()
End Sub

Public NotInheritable Class LEAD_VARS
Public Const ImagesDir As String = "C:\Users\Public\Documents\LEADTOOLS Images"
End Class

using Leadtools.Services;
using leadtools.services.datacontracts._2009._01;
using leadtools.services.raster.datacontracts._2009._01;
using leadtools.services.imageprocessing.datacontracts._2009._01;

public void PredefinedSpatialExample()
{
   FiltersProcessingServiceClient client = new FiltersProcessingServiceClient();
   RawBinaryData sourceBinaryData = new RawBinaryData();
   sourceBinaryData.Data = File.ReadAllBytes(Path.Combine(LEAD_VARS.ImagesDir,"image1.cmp"));

   RasterConvertOptions convertOptions = new RasterConvertOptions();

   convertOptions.Source = sourceBinaryData;
   convertOptions.Destination = null;
   convertOptions.Format = RasterImageFormat.Bmp;
   convertOptions.FirstPage = 1;
   convertOptions.LastPage = 1;
   convertOptions.BitsPerPixel = 24;
   convertOptions.QualityFactor = 2;

   PredefinedSpatialRequest request = new PredefinedSpatialRequest();

   request.ConvertOptions = convertOptions;
   request.RegionData = null;
   request.Predefined = SpatialFilterCommandPredefined.EmbossNorth;
   CommandResponse response = client.PredefinedSpatial(request);

   if (response.Destination != null)
   {
      if (response.Destination is RawBinaryData)
         File.WriteAllBytes(Path.Combine(LEAD_VARS.ImagesDir,"PredefinedSpatial.bmp"), (response.Destination as RawBinaryData).Data);
   }

   client.Close();
}

static class LEAD_VARS
{
public const string ImagesDir = @"C:\Users\Public\Documents\LEADTOOLS Images";
}

Target Platforms

Reference

IFiltersProcessingService Interface
IFiltersProcessingService Members