java - Opencv - 目が閉じているか開いているかを検出する

Question

写真で目が閉じているか開いているかを検出しようとしているプロジェクトに取り組んでいます。これまでに行ったことは、顔、次に目を検出したことです。次に、目が開いているときに虹彩が唯一の円になることを期待して、ハフ変換を適用しました。問題は、目を閉じたときに円も生成されることです。

コードは次のとおりです。

import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.highgui.Highgui;
import org.opencv.objdetect.CascadeClassifier;
import org.opencv.imgproc.Imgproc;



 
public class FaceDetector {
 
    public static void main(String[] args) {
        
    
 
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        System.out.println("\nRunning FaceDetector");
 
        CascadeClassifier faceDetector = new CascadeClassifier("D:\\CS\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt.xml");
        CascadeClassifier eyeDetector = new CascadeClassifier("D:\\CS\\opencv\\sources\\data\\haarcascades\\haarcascade_eye.xml");
       
        Mat image = Highgui.imread("C:\\Users\\Yousra\\Desktop\\images.jpg");
        Mat gray = Highgui.imread("C:\\Users\\Yousra\\Desktop\\eyes\\E7.png");
        
        String faces;
        String eyes;
        
 
        MatOfRect faceDetections = new MatOfRect();
        MatOfRect eyeDetections = new MatOfRect();
        
        Mat face;
        Mat crop = null;
        Mat circles = new Mat();
        faceDetector.detectMultiScale(image, faceDetections);
        
   for (int i = 0; i< faceDetections.toArray().length; i++){
            
            faces = "Face"+i+".png";
            
             face = image.submat(faceDetections.toArray()[i]);
             crop = face.submat(4, (2*face.width())/3, 0, face.height());
            Highgui.imwrite(faces, face);
             eyeDetector.detectMultiScale(crop, eyeDetections, 1.1, 2, 0,new Size(30,30), new Size()); 
         
             if(eyeDetections.toArray().length ==0){
                 
                 System.out.println(" Not a face" + i);
             }else{
                 
                 System.out.println("Face with " + eyeDetections.toArray().length + "eyes" );
                 
                 for (int j = 0; j< eyeDetections.toArray().length ; j++){
                     
                    System.out.println("Eye" );
                    Mat eye = crop.submat(eyeDetections.toArray()[j]);
                    eyes = "Eye"+j+".png";
                    Highgui.imwrite(eyes, eye);
                     
                 }
             }
         }
             
             
          
        
            
             Imgproc.cvtColor(gray, gray, Imgproc.COLOR_BGR2GRAY);
             System.out.println("1 Hough :" +circles.size());
 float circle[] = new float[3];

             for (int i = 0; i < circles.cols(); i++)
             {
                     circles.get(0, i, circle);
                 org.opencv.core.Point center = new org.opencv.core.Point();
                 center.x = circle[0];
                 center.y = circle[1];
                 Core.circle(gray, center, (int) circle[2], new Scalar(255,255,100,1), 4);
                 }
             
             
             Imgproc.Canny( gray, gray, 200, 10, 3,false);  
             
             Imgproc.HoughCircles( gray, circles, Imgproc.CV_HOUGH_GRADIENT, 1, 100, 80, 10, 10, 50 );
             System.out.println("2 Hough:" +circles.size());
             
             for (int i = 0; i < circles.cols(); i++)
             {
                     circles.get(0, i, circle);
                 org.opencv.core.Point center = new org.opencv.core.Point();
                 center.x = circle[0];
                 center.y = circle[1];
                 Core.circle(gray, center, (int) circle[2], new Scalar(255,255,100,1), 4);
                 }
             Imgproc.Canny( gray, gray, 200, 10, 3,false);  
             
             Imgproc.HoughCircles( gray, circles, Imgproc.CV_HOUGH_GRADIENT, 1, 100, 80, 10, 10, 50 );
             System.out.println("3 Hough" +circles.size());
             
             //float circle[] = new float[3];

             for (int i = 0; i < circles.cols(); i++)
             {
                     circles.get(0, i, circle);
                 org.opencv.core.Point center = new org.opencv.core.Point();
                 center.x = circle[0];
                 center.y = circle[1];
                 Core.circle(gray, center, (int) circle[2], new Scalar(255,255,100,1), 4);
                 }

            String hough = "afterhough.png";
            Highgui.imwrite(hough, gray);
   }     
}

より正確にする方法は？