XScale Property

Summary

Gets or sets the image x-scaling (resizing), in percent.

Syntax

Objective-C

C++/CLI

Java

Python

public int XScale { get; set; }

@property (nonatomic, assign) NSInteger xScale;

public int getXScale(); 
public void setXScale( 
   int intValue 
);

public: 
property int XScale { 
   int get(); 
   void set (    int ); 
}

XScale # get and set (TransformationParameters)

Property Value

Value that represents the image x-scaling (resizing), in percent.

Example

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing; 
using Leadtools.ImageProcessing.Core; 
 
 
public void GetTransformationParametersExample() 
{ 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "RGSRef.cmp")); 
 
   // Prepare the command 
   SearchRegistrationMarksCommandData[] rmData = new SearchRegistrationMarksCommandData[3]; 
 
   //Mark1 
   rmData[0] = new SearchRegistrationMarksCommandData(); 
   rmData[0].Rectangle = new LeadRect(680, 20, 941 - 680, 218 - 20); 
   rmData[0].MarkDetectedPoints = new LeadPoint[1]; 
   rmData[0].Width = 31; 
   rmData[0].Height = 29; 
   rmData[0].Type = RegistrationMarkCommandType.TShape; 
   rmData[0].MinimumScale = 90; 
   rmData[0].MaximumScale = 110; 
   rmData[0].SearchMarkCount = 1; 
 
   //Mark2 
   rmData[1] = new SearchRegistrationMarksCommandData(); 
   rmData[1].Rectangle = new LeadRect(665, 790, 899 - 665, 961 - 790); 
   rmData[1].MarkDetectedPoints = new LeadPoint[1]; 
   rmData[1].Width = 31; 
   rmData[1].Height = 29; 
   rmData[1].Type = RegistrationMarkCommandType.TShape; 
   rmData[1].MinimumScale = 90; 
   rmData[1].MaximumScale = 110; 
   rmData[1].SearchMarkCount = 1; 
 
   //Mark3 
   rmData[2] = new SearchRegistrationMarksCommandData(); 
   rmData[2].Rectangle = new LeadRect(7, 1073, 298 - 7, 1246 - 1073); 
   rmData[2].MarkDetectedPoints = new LeadPoint[1]; 
   rmData[2].Width = 31; 
   rmData[2].Height = 29; 
   rmData[2].Type = RegistrationMarkCommandType.TShape; 
   rmData[2].MinimumScale = 90; 
   rmData[2].MaximumScale = 110; 
   rmData[2].SearchMarkCount = 1; 
   SearchRegistrationMarksCommand command1 = new SearchRegistrationMarksCommand(rmData); 
   command1.Run(image); 
   if ((rmData[2].MarkDetectedCount != 1) || (rmData[1].MarkDetectedCount != 1) || (rmData[0].MarkDetectedCount != 1)) 
      return; 
 
   LeadPoint[] original = 
   { 
      new LeadPoint(81400, 11300), 
      new LeadPoint(78600, 87400), 
      new LeadPoint(14300, 115400) 
   }; 
 
   LeadPoint[] detected = 
   { 
      rmData[0].MarkDetectedPoints[0], 
      rmData[1].MarkDetectedPoints[0], 
      rmData[2].MarkDetectedPoints[0] 
   }; 
 
   //Find center of mass for detected registration marks in the transformed image 
   LeadPoint[] transformed = CoreUtilities.GetRegistrationMarksCenterMass(image, detected); 
   //Find transformation parameters 
   TransformationParameters parameters = CoreUtilities.GetTransformationParameters(image, original, transformed); 
   //Apply transformation parameters to correct the image 
   ApplyTransformationParametersCommand applyCommand = new ApplyTransformationParametersCommand(parameters.XTranslation, parameters.YTranslation, parameters.Angle, parameters.XScale, parameters.YScale, 
         ApplyTransformationParametersCommandFlags.Normal); 
   applyCommand.Run(image); 
 
} 
 
static class LEAD_VARS 
{ 
   public const string ImagesDir = @"C:\LEADTOOLS23\Resources\Images"; 
}

 
import static org.junit.Assert.assertTrue; 
 
import java.io.File; 
import java.io.IOException; 
 
import org.junit.*; 
import org.junit.runner.JUnitCore; 
import org.junit.runner.Result; 
import org.junit.runner.notification.Failure; 
 
import leadtools.*; 
import leadtools.codecs.*; 
import leadtools.imageprocessing.core.*; 
 
 
public void getTransformationParametersExample() { 
 
      final String LEAD_VARS_IMAGES_DIR = "C:\\LEADTOOLS23\\Resources\\Images"; 
 
      // Load an image 
      RasterCodecs codecs = new RasterCodecs(); 
      codecs.setThrowExceptionsOnInvalidImages(true); 
      RasterImage image = codecs.load(combine(LEAD_VARS_IMAGES_DIR, "rgsref.cmp")); 
 
      // Prepare the command 
      SearchRegistrationMarksCommandData[] rmData = new SearchRegistrationMarksCommandData[3]; 
 
      // Mark1 
      rmData[0] = new SearchRegistrationMarksCommandData(); 
      rmData[0].setRectangle(new LeadRect(680, 20, 941 - 680, 218 - 20)); 
      rmData[0].setMarkDetectedPoints(new LeadPoint[1]); 
      rmData[0].setWidth(31); 
      rmData[0].setHeight(29); 
      rmData[0].setType(RegistrationMarkCommandType.T_SHAPE); 
      rmData[0].setMinimumScale(90); 
      rmData[0].setMaximumScale(110); 
      rmData[0].setSearchMarkCount(1); 
 
      // Mark2 
      rmData[1] = new SearchRegistrationMarksCommandData(); 
      rmData[1].setRectangle(new LeadRect(665, 790, 899 - 665, 961 - 790)); 
      rmData[1].setMarkDetectedPoints(new LeadPoint[1]); 
      rmData[1].setWidth(31); 
      rmData[1].setHeight(29); 
      rmData[1].setType(RegistrationMarkCommandType.T_SHAPE); 
      rmData[1].setMinimumScale(90); 
      rmData[1].setMaximumScale(110); 
      rmData[1].setSearchMarkCount(1); 
 
      // Mark3 
      rmData[2] = new SearchRegistrationMarksCommandData(); 
      rmData[2].setRectangle(new LeadRect(7, 1073, 298 - 7, 1246 - 1073)); 
      rmData[2].setMarkDetectedPoints(new LeadPoint[1]); 
      rmData[2].setWidth(31); 
      rmData[2].setHeight(29); 
      rmData[2].setType(RegistrationMarkCommandType.T_SHAPE); 
      rmData[2].setMinimumScale(90); 
      rmData[2].setMaximumScale(110); 
      rmData[2].setSearchMarkCount(1); 
      SearchRegistrationMarksCommand command1 = new SearchRegistrationMarksCommand(rmData); 
      command1.run(image); 
 
      if ((rmData[2].getMarkDetectedCount() != 1) || (rmData[1].getMarkDetectedCount() != 1) 
                  || (rmData[0].getMarkDetectedCount() != 1)) 
            return; 
 
      LeadPoint[] original = { 
                  new LeadPoint(81400, 11300), 
                  new LeadPoint(78600, 87400), 
                  new LeadPoint(14300, 115400) 
      }; 
 
      LeadPoint[] detected = { 
                  rmData[0].getMarkDetectedPoints()[0], 
                  rmData[1].getMarkDetectedPoints()[0], 
                  rmData[2].getMarkDetectedPoints()[0] 
      }; 
 
      // Find center of mass for detected registration marks in the transformed image 
      LeadPoint[] transformed = CoreUtilities.getRegistrationMarksCenterMass(image, detected); 
 
      // Find transformation parameters 
      TransformationParameters parameters = CoreUtilities.getTransformationParameters(image, original, 
                  transformed); 
 
      // Apply transformation parameters to correct the image 
      ApplyTransformationParametersCommand applyCommand = new ApplyTransformationParametersCommand( 
                  parameters.getXTranslation(), parameters.getYTranslation(), parameters.getAngle(), 
                  parameters.getXScale(), 
                  parameters.getYScale(), 
                  ApplyTransformationParametersCommandFlags.NORMAL.getValue()); 
      applyCommand.run(image); 
 
      codecs.save(image, combine(LEAD_VARS_IMAGES_DIR, "Result.jpg"), RasterImageFormat.JPEG, 0); 
 
      assertTrue(new File(combine(LEAD_VARS_IMAGES_DIR, "Result.jpg")).exists()); 
      System.out.println("Image successfully ran and saved to " + combine(LEAD_VARS_IMAGES_DIR, "Result.jpg")); 
 
}

Requirements

Target Platforms

Reference

TransformationParameters Structure

TransformationParameters Members

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Help Version 23.0.2024.3.3

Leadtools.ImageProcessing.Core Assembly

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