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How to better segment out and label brown-colored lymphatic vessels on a histology image?

Need to choose a proper conversion, segmentation, labelling methods and respective image processing libraries.

I have tried Java Open CV code: package javaopencvapp; import org.opencv.core.Core; import org.opencv.core.Mat; import org.opencv.core.CvType; import org.opencv.core.Scalar; import javaopencvapp.ImageViewer; import org.opencv.core.Mat; import org.opencv.imgcodecs.Imgcodecs; import org.opencv.imgproc.Imgproc;

   public class JavaOpenCVapp {

static{ System.loadLibrary(Core.NATIVE_LIBRARY_NAME); }
public static void main(String[] args) throws Exception {
String filePath = "src/images/imth2.tif";
Mat newImage = Imgcodecs.imread(filePath);

        Imgproc.threshold(newImage, newImage, 172, 179.0, Imgproc.THRESH_BINARY);
       //* Imgproc.threshold(newImage, newImage, 0, 125, Imgproc.THRESH_BINARY + Imgproc.THRESH_OTSU);
       //*  Imgproc.adaptiveThreshold(newImage, newImage, 255, Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C, Imgproc.THRESH_BINARY, 11, 2); 
  //* Imgproc.adaptiveThreshold(newImage,newImage, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C,Imgproc. THRESH_BINARY, 15, 40);

if(newImage.dataAddr()==0){
    System.out.println("Couldn't open file " + filePath);
}else{
    ImageViewer imageViewer;
                imageViewer = new ImageViewer();
    imageViewer.show(newImage, "Loaded image");
}

}

How to better segment out and label brown-colored lymphatic vessels on a histology image?

Need to choose a proper conversion, segmentation, labelling methods and respective image processing libraries.

I have tried Java Open CV code: package javaopencvapp; import org.opencv.core.Core; import org.opencv.core.Mat; import org.opencv.core.CvType; import org.opencv.core.Scalar; import javaopencvapp.ImageViewer; import org.opencv.core.Mat; import org.opencv.imgcodecs.Imgcodecs; import org.opencv.imgproc.Imgproc;

   public class JavaOpenCVapp {

static{ System.loadLibrary(Core.NATIVE_LIBRARY_NAME); }
public static void main(String[] args) throws Exception {
String filePath = "src/images/imth2.tif";
Mat newImage = Imgcodecs.imread(filePath);

        Imgproc.threshold(newImage, newImage, 172, 179.0, Imgproc.THRESH_BINARY);
       //* Imgproc.threshold(newImage, newImage, 0, 125, Imgproc.THRESH_BINARY + Imgproc.THRESH_OTSU);
       //*  Imgproc.adaptiveThreshold(newImage, newImage, 255, Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C, Imgproc.THRESH_BINARY, 11, 2); 
  //* Imgproc.adaptiveThreshold(newImage,newImage, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C,Imgproc. THRESH_BINARY, 15, 40);

if(newImage.dataAddr()==0){
    System.out.println("Couldn't open file " + filePath);
}else{
    ImageViewer imageViewer;
                imageViewer = new ImageViewer();
    imageViewer.show(newImage, "Loaded image");
}

}

How to better segment out and label brown-colored lymphatic vessels on a histology image?

Need to choose a proper conversion, segmentation, labelling methods and respective image processing libraries.

I have tried Java Open CV code: code:

    package javaopencvapp;
     import org.opencv.core.Core;
     import org.opencv.core.Mat;
     import org.opencv.core.CvType; 
     import org.opencv.core.Scalar;
     import javaopencvapp.ImageViewer;
     import org.opencv.core.Mat;
     import org.opencv.imgcodecs.Imgcodecs;
         import org.opencv.imgproc.Imgproc;
 
import org.opencv.imgproc.Imgproc;

    public class JavaOpenCVapp {

 static{ System.loadLibrary(Core.NATIVE_LIBRARY_NAME); }
 public static void main(String[] args) throws Exception {
 String filePath = "src/images/imth2.tif";
 Mat newImage = Imgcodecs.imread(filePath);

         Imgproc.threshold(newImage, newImage, 172, 179.0, Imgproc.THRESH_BINARY);
        //* Imgproc.threshold(newImage, newImage, 0, 125, Imgproc.THRESH_BINARY + Imgproc.THRESH_OTSU);
        //*  Imgproc.adaptiveThreshold(newImage, newImage, 255, Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C, Imgproc.THRESH_BINARY, 11, 2); 
   //* Imgproc.adaptiveThreshold(newImage,newImage, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C,Imgproc. THRESH_BINARY, 15, 40);

 if(newImage.dataAddr()==0){
     System.out.println("Couldn't open file " + filePath);
 }else{
     ImageViewer imageViewer;
                 imageViewer = new ImageViewer();
     imageViewer.show(newImage, "Loaded image");
    }
}
  
}