public StatisticsInformationCommand(
RasterColorChannel channel,
int start,
int end
)
- (instancetype)initWithChannel:(LTRasterColorChannel)channel start:(NSInteger)start end:(NSInteger)end NS_DESIGNATED_INITIALIZER;
public StatisticsInformationCommand(
RasterColorChannel channel,
int start,
int end
);
public:
StatisticsInformationCommand(
RasterColorChannel channel,
int start,
int end
)
channel
The channel for which to get the information. This value is ignored if the image is 12 or 16-bit grayscale.
start
Indicates the beginning color value of the range for the evaluation. This property only accepts positive values.
end
Indicates the ending color value of the range for the evaluation. This property only accepts positive values.
Run the StatisticsInformationCommand on an image.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing;
using Leadtools.ImageProcessing.Effects;
public void StatisticsInformationConstructorExample()
{
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "Master.jpg"));
// Prepare the command
StatisticsInformationCommand command = new StatisticsInformationCommand(RasterColorChannel.Master, 0, 255);
// Get statistical image information.
command.Run(image);
MessageBox.Show("Minimum = " + command.Minimum + "\n" +
"Maximum = " + command.Maximum + "\n" +
"Mean = " + command.Mean + "\n" +
"Median = " + command.Median + "\n" +
"Percent = " + command.Percent + "\n" +
"PixelCount = " + command.PixelCount + "\n" +
"StandardDeviation = " + command.StandardDeviation + "\n" +
"TotalPixelCount = " + command.TotalPixelCount);
}
static class LEAD_VARS
{
public const string ImagesDir = @"C:\LEADTOOLS23\Resources\Images";
}
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.*;
import leadtools.imageprocessing.effects.*;
public void statisticsInformationConstructorExample() {
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, "Master.jpg"));
// Prepare the command
StatisticsInformationCommand command = new StatisticsInformationCommand(RasterColorChannel.MASTER, 0, 255);
// Get statistical image information
command.run(image);
System.out.println("Minimum = " + command.getMinimum() + "\n" +
"Maximum = " + command.getMaximum() + "\n" +
"Mean = " + command.getMean() + "\n" +
"Median = " + command.getMedian() + "\n" +
"Percent = " + command.getPercent() + "\n" +
"PixelCount = " + command.getPixelCount() + "\n" +
"StandardDeviation = " + command.getStandardDeviation() + "\n" +
"TotalPixelCount = " + command.getTotalPixelCount());
codecs.save(image, combine(LEAD_VARS_IMAGES_DIR, "Result.jpg"), RasterImageFormat.JPEG, 0);
System.out.println("Command run and image saved to " + combine(LEAD_VARS_IMAGES_DIR, "Result.jpg"));
}
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