public LeadPoint[] MarkDetectedPoints { get; set; }
@property (nonatomic, strong) NSMutableArray<NSValue *> *markDetectedPoints; //LeadPoint
public LeadPoint[ getMarkDetectedPoints();
public void setMarkDetectedPoints(
LeadPoint[] leadPoint[
);
public:
property array<LeadPoint>^ MarkDetectedPoints {
array<LeadPoint>^ get();
void set ( array<LeadPoint>^ );
}
MarkDetectedPoints # get and set (SearchRegistrationMarksCommandData)
Array which will be filled with the location points of the detected registration marks. SearchRegistrationMarksCommand will fill the first MarkDetectedCount elements in this array.
For more information, refer to Detecting Registration Marks.
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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