public int YTranslation { get; set; }
@property (nonatomic, assign) NSInteger yTranslation;
public int getYTranslation();
public void setYTranslation(
int intValue
);
YTranslation # get and set (TransformationParameters)
The image y-translation, in hundredths of pixels.
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"));
}
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