diff --git a/LinearRegressionTool/src/main/java/model/LineModel.java b/LinearRegressionTool/src/main/java/model/LineModel.java
index 4e77907..85b70b1 100644
--- a/LinearRegressionTool/src/main/java/model/LineModel.java
+++ b/LinearRegressionTool/src/main/java/model/LineModel.java
@@ -34,33 +34,8 @@ public class LineModel {
 
     }
 
-    public void setXbounds() {
-        LinkedList<Double> xlist = new LinkedList<>();
-        for (Point p : nodes) {
-            xlist.add(p.getX());
-        }
-
-        xMaximum = Collections.max(xlist);
-        xMinimum = Collections.min(xlist);
-    }
-
-    public void setYbounds() {
-        LinkedList<Double> ylist = new LinkedList<>();
-        for (Point p : nodes) {
-            ylist.add(p.getY());
-        }
-
-        yMaximum = Collections.max(ylist);
-        yMinimum = Collections.min(ylist);
-    }
-
     public void addNode(Point node) {
         this.nodes.add(node);
-        xMaximum = (node.getX() > xMaximum) ? node.getX() : xMinimum;
-        xMinimum = (node.getX() <= xMinimum) ? node.getX() : xMinimum;
-        yMaximum = (node.getY() > yMaximum) ? node.getY() : yMaximum;
-        yMaximum = (node.getY() <= yMaximum) ? node.getY() : yMaximum;
-
     }
 
     public void addLine(Line line) {
diff --git a/LinearRegressionTool/src/main/java/presenter/AbstractPresenter.java b/LinearRegressionTool/src/main/java/presenter/AbstractPresenter.java
index d611b71..b822c87 100644
--- a/LinearRegressionTool/src/main/java/presenter/AbstractPresenter.java
+++ b/LinearRegressionTool/src/main/java/presenter/AbstractPresenter.java
@@ -138,13 +138,6 @@ public abstract class AbstractPresenter implements Observer {
 
         if (result[0] == "import-picture") {
             //100% erreicht
-            SwingUtilities.invokeLater(() -> {
-                getView().enableFunctionality();
-                getView().logHeading("Import eines Bildes");
-                getView().log("Anzahl der Geraden: "+ getModel().getLines().size() + ".");
-                getView().log("Anzahl der Schnittpunkte: "+getModel().getNodes().size()+".");
-                getView().logSuccess("Der Import war Erfolgreich! <hr>");
-            });
 
             Thread t = new Thread(() -> {
                 calculateIntersections();
@@ -156,6 +149,14 @@ public abstract class AbstractPresenter implements Observer {
                 e.printStackTrace();
             }
 
+            SwingUtilities.invokeLater(() -> {
+                getView().enableFunctionality();
+                getView().logHeading("Import eines Bildes");
+                getView().log("Anzahl der Geraden: "+ getModel().getLines().size() + ".");
+                getView().log("Anzahl der Schnittpunkte: "+getModel().getNodes().size()+".");
+                getView().logSuccess("Der Import war Erfolgreich! <hr>");
+            });
+
         }
     }
 
diff --git a/LinearRegressionTool/src/main/java/presenter/evaluation/PictureProcessor.java b/LinearRegressionTool/src/main/java/presenter/evaluation/PictureProcessor.java
index 9d2221d..9eb0563 100644
--- a/LinearRegressionTool/src/main/java/presenter/evaluation/PictureProcessor.java
+++ b/LinearRegressionTool/src/main/java/presenter/evaluation/PictureProcessor.java
@@ -27,6 +27,7 @@ public class PictureProcessor extends Observable{
     private Presenter presenter;
     private File file;
     private ArrayList<MatOfPoint> contours;
+    private double contourLength;
 
     public PictureProcessor(Presenter presenter, File file)  {
         this.file = file;
@@ -36,6 +37,7 @@ public class PictureProcessor extends Observable{
     public void run(){
         image = Highgui.imread(file.getAbsolutePath());
         contour = process(image);
+        contourLength = image.width() * 0.3;
         createInputData();
     }
 
@@ -43,22 +45,29 @@ public class PictureProcessor extends Observable{
         Mat threshold = new Mat(image.width(), image.height(), CvType.CV_8UC1);
         Mat source = new Mat(image.width(), image.height(), CvType.CV_8UC1);
         Imgproc.cvtColor(image, source, Imgproc.COLOR_BGR2GRAY);
-        Imgproc.blur(source, threshold, new Size(3,3));
+        Imgproc.GaussianBlur(source, threshold, new Size(3,3),0,0);
         Imgproc.Canny(threshold, source,300,600,5,true);
-
         //Konturen berechnen und filtern
         contours = new ArrayList<>();
         Imgproc.findContours(source, contours, new Mat(), Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE, new Point(0,0));
         Mat viscont = new Mat(source.size(), source.type());
+        double minArea = 50;
+        double maxArea = 0.2 * image.cols() * image.rows();
         for (int i=0;i<contours.size();i++) {
-            if (Imgproc.contourArea(contours.get(i)) > 100) {
-                Imgproc.drawContours(viscont, contours, i, new Scalar(255, 255, 100), -1);
+            double acutualArea = Imgproc.contourArea(contours.get(i));
+            if (minArea < acutualArea && maxArea > acutualArea) {
+                Imgproc.drawContours(viscont, contours, i, new Scalar(255, 0, 0), 1);
             }
         }
+        Mat resized = new Mat();
+        Imgproc.resize(viscont, resized,new Size(560,560));
         SwingUtilities.invokeLater(() -> {
             JDialog dialog = new JDialog();
-            dialog.setSize(1100,700);
-            dialog.add(new JLabel(new ImageIcon(toBufferedImage(viscont))));
+            dialog.setSize(560,560);
+            JLabel label = new JLabel();
+            label.setSize(560,560);
+            label.setIcon(new ImageIcon(toBufferedImage(resized)));
+            dialog.add(label);
             dialog.setVisible(true);
         });
         return source;
@@ -82,10 +91,13 @@ public class PictureProcessor extends Observable{
 
     private void createInputData(){
         Thread t = new Thread(() -> {
+            double minArea = 50;
+            double maxArea = 0.2 * image.cols() * image.rows();
             int id = 0;
             for (int j=0;j<contours.size();j++){
                 Point[] p = contours.get(j).toArray();
-                if (p.length > 200) {
+                double acutualArea = Imgproc.contourArea(contours.get(j));
+                if (minArea < acutualArea && maxArea > acutualArea) {
                     for (int i = 0; i < p.length; i++) {
                         Line line = new Line(-1 * (500 - p[i].x), p[i].y);
                         line.setId("" + id++);