Indicates whether the objects filtered out by ExObjData.FilterList should be returned.
public bool ReportRemovedObjects {get; set;}
@property (nonatomic, assign) BOOL reportRemovedObjects;
public void setReportRemovedObjects(
boolean booleanValue
);
public:
property bool ReportRemovedObjects
{
bool get()
void set(bool value)
}
ReportRemovedObjects # get and set (ExObjFilterOptions)
true to populate Removed with the objects filtered out by ExObjData.FilterList; otherwise, false to simply free the objects. The default value is false.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing;
using Leadtools.ImageProcessing.Core;
public void ExtractObjectsCommandExample()
{
using (RasterCodecs codecs = new RasterCodecs())
// Load the original image
using (RasterImage inputImage = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "demoicr2.tif")))
{
// Setup the extraction options
ExtractObjectsCommand command = new ExtractObjectsCommand()
{
DetectChildren = true,
EightConnectivity = true,
Outline = true
};
// Extract the objects
command.Run(inputImage);
using (ExObjData data = command.Data)
{
// Log the number of objects from the first list
ExObjObjectList objects = data[0].Objects;
Console.WriteLine($"Number of objects (before filtering): {objects.Count}");
// Log the number of points around the first object (braces for scope)
{
int count = 0;
foreach (ExObjOutlinePoint point in objects.First().Outline)
count++;
Console.WriteLine($"First object's outline length: {count}");
}
// Setup the filter options
ExObjFilterOptions filterOptions = new ExObjFilterOptions()
{
LargeObjectThreshold = -1, // No upper limit on size
SmallObjectThreshold = 10 // Remove objects smaller than 10x10 pixels
};
// Filter the objects
data.FilterList(objects, filterOptions);
// Log the number of objects again
Console.WriteLine($"Number of objects (after filtering): {objects.Count}");
// Setup the content bound options
ExObjContentBound contentBound = new ExObjContentBound(new LeadRect(192, 260, 323, 146));
ExObjContentBoundOptions contentBoundOptions = new ExObjContentBoundOptions()
{
ObjectsOfInterest = null // Pass null to use every object in data
};
// Calculate the content bounds
data.CalculateContentBound(new ExObjContentBound[] { contentBound }, contentBoundOptions);
// Setup the region options
ExObjRegionOptions regionOptions = new ExObjRegionOptions()
{
Horizontal = true
};
// Calculate each object's region
data.CalculateRegion(objects, regionOptions);
// Create an output image
using (RasterImage outputImage = RasterImage.Create(inputImage.Width, inputImage.Height, 24, inputImage.XResolution, RasterColor.White))
{
// Fill the output image with white
new FillCommand(RasterColor.White).Run(outputImage);
// Draw the content bound rects for the first word. Red for the input, green for the output.
outputImage.AddRectangleToRegion(null, contentBound.Input, RasterRegionCombineMode.Set);
new FillCommand(new RasterColor(255, 0, 0)).Run(outputImage);
outputImage.AddRectangleToRegion(null, contentBound.Content, RasterRegionCombineMode.Set);
new FillCommand(new RasterColor(0, 255, 0)).Run(outputImage);
// Populate the output image with each object's region
foreach (ExObjObject @object in objects)
foreach (ExObjSegment segment in @object.RegionHorizontal)
{
// Update the region to the current segment
outputImage.AddRectangleToRegion(null, segment.Bounds, RasterRegionCombineMode.Set);
// Fill the region with black
new FillCommand(RasterColor.Black).Run(outputImage);
}
// Clear the output image's region
outputImage.MakeRegionEmpty();
// Save the output image
codecs.Save(outputImage, Path.Combine(LEAD_VARS.ImagesDir, "ExtractObjects.png"), RasterImageFormat.Png, 0);
}
}
}
}
static class LEAD_VARS
{
public const string ImagesDir = @"C:\LEADTOOLS23\Resources\Images";
}
import java.io.File;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Collections;
import java.util.Iterator;
import org.junit.*;
import org.junit.runner.JUnitCore;
import org.junit.runner.Result;
import org.junit.runner.notification.Failure;
import static org.junit.Assert.*;
import leadtools.*;
import leadtools.codecs.*;
import leadtools.imageprocessing.FillCommand;
import leadtools.imageprocessing.core.*;
import leadtools.internal.Tuple;
public void extractObjectsCommandExample() {
final String LEAD_VARS_IMAGES_DIR = "C:\\LEADTOOLS23\\Resources\\Images";
RasterCodecs codecs = new RasterCodecs();
// Load the original image
RasterImage inputImage = codecs.load(combine(LEAD_VARS_IMAGES_DIR, "demoicr2.tif"));
// Setup the extraction options
ExtractObjectsCommand command = new ExtractObjectsCommand();
command.setDetectChildren(true);
command.setEightConnectivity(true);
command.setOutline(true);
// Extract the objects
command.run(inputImage);
ExObjData data = command.getData();
// Log the number of objects from the first list
ExObjObjectList objects = data.iterator().next().getObjects();
System.out.println("Number of objects (before filtering): " + objects.size());
// Log the number of points around the first object (braces for scope)
System.out.println(objects.iterator().next().getOutline().size());
// Setup the filter options
ExObjFilterOptions filterOptions = new ExObjFilterOptions();
filterOptions.setLargeObjectThreshold(-1);
filterOptions.setSmallObjectThreshold(10);
// Filter the objects
data.filterList(objects, filterOptions);
// Log the number of objects again
System.out.println("Number of objects (after filtering): " + objects.size());
// Setup the content bound options
ExObjContentBound contentBound = new ExObjContentBound(new LeadRect(192, 260, 323, 146));
Collection<ExObjContentBound> col = Collections.singleton(contentBound);
ExObjContentBoundOptions contentBoundOptions = new ExObjContentBoundOptions();
contentBoundOptions.setObjectsOfInterest(null);
// Calculate the content bounds
data.calculateContentBound(col, contentBoundOptions);
// Setup the region options
ExObjRegionOptions regionOptions = new ExObjRegionOptions();
regionOptions.setHorizontal(true);
// Calculate each object's region
data.calculateRegion(objects, regionOptions);
// Create an output image
RasterImage outputImage = RasterImage.create(inputImage.getWidth(), inputImage.getHeight(), 24,
inputImage.getXResolution(), RasterColor.WHITE);
// Fill the output image with white
new FillCommand(RasterColor.WHITE).run(outputImage);
// Draw the content bound rects for the first word. Red for the input, green for
// the output.
outputImage.addRectangleToRegion(null, contentBound.getInput(), RasterRegionCombineMode.SET);
new FillCommand(new RasterColor(255, 0, 0)).run(outputImage);
outputImage.addRectangleToRegion(null, contentBound.getContent(), RasterRegionCombineMode.SET);
new FillCommand(new RasterColor(0, 255, 0)).run(outputImage);
// Populate the output image with each object's region
Iterator<ExObjObject> it = objects.iterator();
while (it.hasNext()) {
Iterator<ExObjSegment> segments = it.next().getRegionHorizontal().iterator();
while (segments.hasNext()) {
outputImage.addRectangleToRegion(null, segments.next().getBounds(), RasterRegionCombineMode.SET);
new FillCommand(RasterColor.BLACK).run(outputImage);
}
}
// Clear the output image's region
outputImage.makeRegionEmpty();
// Save the output image
codecs.save(outputImage, combine(LEAD_VARS_IMAGES_DIR, "ExtractObjects.png"), RasterImageFormat.PNG, 0);
System.out.println("Command run and image saved to: " + combine(LEAD_VARS_IMAGES_DIR, "ExtractObjects.png"));
assertTrue(new File(combine(LEAD_VARS_IMAGES_DIR, "ExtractObjects.png")).exists());
outputImage.dispose();
data.dispose();
inputImage.dispose();
codecs.dispose();
}
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