public ColorIntensityBalanceCommandData(
int red,
int green,
int blue
)
- (instancetype)initWithRed:(NSInteger)red green:(NSInteger)green blue:(NSInteger)blue NS_DESIGNATED_INITIALIZER;
red
Value to be used for adjusting or balancing the red channel. Valid values range from -100 to 100. Values > 0 increase the red component. Values < 0 decrease the red component. Using 0 leaves the red component unchanged.
green
Value to be used for adjusting or balancing the green channel. Valid values range from -100 to 100. Values > 0 increase the green component value. Values < 0 decrease the green component value. Using 0 leaves the green component unchanged.
blue
Value to be used for adjusting or balancing the blue channel. Valid values range from -100 to 100. Values > 0 increase the blue component value. Values < 0 decrease the blue component value. Using 0 leaves the blue component unchanged.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Color;
public void ColorIntensityBalanceConstructorExample()
{
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "sample5.cmp"));
// Prepare the command
ColorIntensityBalanceCommandData Shadows = new ColorIntensityBalanceCommandData(60, 0, 0);
ColorIntensityBalanceCommandData MidTone = new ColorIntensityBalanceCommandData(40, 0, 0);
ColorIntensityBalanceCommandData HighLight = new ColorIntensityBalanceCommandData(70, 0, 0);
ColorIntensityBalanceCommand command = new ColorIntensityBalanceCommand(Shadows, MidTone, HighLight, false);
// Balance the colors by increasing the red channel values.
command.Run(image);
codecs.Save(image, Path.Combine(LEAD_VARS.ImagesDir, "Result.jpg"), RasterImageFormat.Jpeg, 24);
}
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 static org.junit.Assert.*;
import leadtools.*;
import leadtools.codecs.*;
import leadtools.imageprocessing.color.*;
public void colorIntensityBalanceConstructorExample() {
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, "sample5.cmp"));
// Prepare the command
ColorIntensityBalanceCommandData shadows = new ColorIntensityBalanceCommandData(60, 0, 0);
ColorIntensityBalanceCommandData midTone = new ColorIntensityBalanceCommandData(40, 0, 0);
ColorIntensityBalanceCommandData highLight = new ColorIntensityBalanceCommandData(70, 0, 0);
ColorIntensityBalanceCommand command = new ColorIntensityBalanceCommand(shadows, midTone, highLight, false);
// Balance the colors by increasing the red channel values
command.run(image);
codecs.save(image, combine(LEAD_VARS_IMAGES_DIR, "Result.jpg"), RasterImageFormat.JPEG, 24);
assertTrue(new File(combine(LEAD_VARS_IMAGES_DIR, "Result.jpg")).exists());
System.out.println("Command run and image saved to " + combine(LEAD_VARS_IMAGES_DIR, "Result.jpg"));
}
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