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WatershedCommand Class

Summary
Separates the image into different segments using the Watershed algorithm.
Syntax
C#
Objective-C
C++/CLI
Java
Python
public class WatershedCommand : RasterCommand 
@interface LTWatershedCommand : LTRasterCommand 
public class WatershedCommand 
    extends RasterCommand 
public ref class WatershedCommand : public RasterCommand   
class WatershedCommand(RasterCommand): 
Remarks
  • Each segment's pixels has the same color. The Watershed algorithm treats an image as if it were a topographic surface. The dark areas are basins. The light areas are the ridges around the basins.
  • The user is responsible for determining the number of output segments and the location of each segment in the input array.
  • This command supports 8, 16-bit grayscale and colored images and 24, 32-bit colored images.
  • This command does not support 32-bit grayscale images.
  • This command supports signed/unsigned images.

Watershed Segmentation Function - Before

Watershed Segmentation Function - Before

Watershed Segmentation Function - After

Watershed Segmentation Function - After

View additional platform support for this Watershed Segmentation function.

Example
C#
using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Core; 
 
public void WatershedCommandExample() 
{ 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   //Load an image 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "IMAGE3.dcm")); 
 
   LeadPoint[][] pointsArray = new LeadPoint[4][]; 
 
   for (int idx = 0; idx < 4; idx++) 
      pointsArray[idx] = new LeadPoint[2]; 
 
   // Set starting point and end point for each segment path. 
   pointsArray[0][0] = new LeadPoint(35, 100); 
   pointsArray[0][1] = new LeadPoint(35, 200); 
 
   pointsArray[1][0] = new LeadPoint(180, 115); 
   pointsArray[1][1] = new LeadPoint(300, 115); 
 
   pointsArray[2][0] = new LeadPoint(235, 220); 
   pointsArray[2][1] = new LeadPoint(260, 220); 
 
   pointsArray[3][0] = new LeadPoint(180, 330); 
   pointsArray[3][1] = new LeadPoint(350, 330); 
 
   //Prepare the command 
   WatershedCommand command = new WatershedCommand(pointsArray); 
 
   //Apply  
   command.Run(image); 
} 
 
static class LEAD_VARS 
{ 
   public const string ImagesDir = @"C:\LEADTOOLS22\Resources\Images"; 
} 
Requirements

Target Platforms

Help Version 22.0.2023.11.1
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Leadtools.ImageProcessing.Core Assembly

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© 1991-2023 LEAD Technologies, Inc. All Rights Reserved.