StatisticsInformationCommand Class

Summary

Returns statistical information about the image.

Syntax

Objective-C

C++/CLI

Java

Python

public class StatisticsInformationCommand : RasterCommand

@interface LTStatisticsInformationCommand : LTRasterCommand

public class StatisticsInformationCommand 
    extends RasterCommand

public ref class StatisticsInformationCommand : public RasterCommand

class StatisticsInformationCommand(RasterCommand):

Remarks

This command calculates statistical information about the image.
The starting and ending values designate the range of colors that will be taken in consideration to produce the results. Only the values between Start and End are used for the calculation of the results. The range of each one depends on the bits per pixel of the image: in the case of 8 bits per component (RGB), the range is between 0 and 255; for 16 bits, the range is 0 through 65535;and from -32768 to 32767 for signed images; and for 12 bits, the range is 0 through 4095.
This command supports 12 and 16-bit grayscale and 48 and 64-bit color images. Support for 12 and 16-bit grayscale and 48 and 64-bit color images is available only in the Document/Medical toolkits.
This command support signed data images.
This command does not support 32-bit grayscale images.

Example

Run the StatisticsInformationCommand on an image.

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing; 
using Leadtools.ImageProcessing.Effects; 
 
 
public void StatisticsInformationCommandExample() 
{ 
   // 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(); 
   command.Channel = RasterColorChannel.Master; 
   command.Start = 0; 
   command.End = 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 statisticsInformationCommandExample() { 
    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(); 
    command.setChannel(RasterColorChannel.MASTER); 
    command.setStart(0); 
    command.setEnd(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")); 
}