←Select platform

TextBlurDetectorCommand Class

Summary
Finds in-focus and out-of-focus blocks in any image.
Syntax
C#
Objective-C
C++/CLI
Java
Python
public class TextBlurDetectorCommand : RasterCommand 
@interface LTTextBlurDetectionCommand : LTRasterCommand 
public class TextBlurDetectorCommand 
    extends RasterCommand 
public ref class TextBlurDetectorCommand : public RasterCommand   
class TextBlurDetectorCommand(RasterCommand): 
Remarks
  • This command takes an image and divides it into many blocks, and then examines each block to determine if it is background and if it is in-focus or out-of-focus.
  • This command supports 8,12, 16-bit grayscale images and 24, 32-bit colored images.
Example
C#
Java
using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Core; 
 
public void TextBlurDetectorCommandExample() 
{ 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   //Load an image 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "TextBlurBarcode.jpg")); 
 
   //Prepare the command 
   TextBlurDetectorCommand command = new TextBlurDetectorCommand(); 
 
   //Apply  
   command.Run(image); 
 
   //Result 
   Debug.WriteLine(command.InFocusBlocks.Length   );  //Number of blocks 
   Debug.WriteLine(command.OutOfFocusBlocks.Length);  //Number of blocks 
   Debug.WriteLine(command.CombinedTextBlocks.Left);  //represents the left boundary of all in focus blocks 
} 
 
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.assertTrue; 
 
import leadtools.*; 
import leadtools.codecs.*; 
import leadtools.imageprocessing.core.TextBlurDetectorCommand; 
 
 
public void textBlurDetectorCommandExample() { 
   final String LEAD_VARS_IMAGES_DIR = "C:\\LEADTOOLS23\\Resources\\Images"; 
 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.setThrowExceptionsOnInvalidImages(true); 
 
   // Load an image 
   RasterImage image = codecs.load(combine(LEAD_VARS_IMAGES_DIR, "noisy_barcode.jpg")); 
 
   // Prepare the command 
   TextBlurDetectorCommand command = new TextBlurDetectorCommand(); 
 
   // Apply and save the file 
   String textBlurOutput = combine(LEAD_VARS_IMAGES_DIR, "text_blur_output.png"); 
   int change = command.run(image); 
   assertTrue(change != RasterImageChangedFlags.NONE); 
   codecs.save(image, textBlurOutput, RasterImageFormat.PNG, 0); 
 
   // Result 
   System.out.println(command.getInFocusBlocks().length); // Number of blocks 
   System.out.println(command.getOutOfFocusBlocks().length); // Number of blocks 
   System.out.println(command.getCombinedTextBlocks().getLeft()); // represents the left boundary of all in focus 
                                                                  // blocks 
   System.out.println("Command run, image saved to " + textBlurOutput); 
} 
Requirements

Target Platforms

Help Version 23.0.2024.3.3
Products | Support | Contact Us | Intellectual Property Notices
© 1991-2024 LEAD Technologies, Inc. All Rights Reserved.

Leadtools.ImageProcessing.Core Assembly
Products | Support | Contact Us | Intellectual Property Notices
© 1991-2023 LEAD Technologies, Inc. All Rights Reserved.