Changeset 33589 for other-projects/is-sheet-music-encore/trunk/image-identification-dev-02/image-identification-development/src/Main.java

Timestamp:

2019-10-21T21:45:10+13:00 (4 years ago)

Author:

cpb16

Message:

final01. Need Map results still

File:

• other-projects/is-sheet-music-encore/trunk/image-identification-dev-02/image-identification-development/src/Main.java (modified) (8 diffs)

other-projects/is-sheet-music-encore/trunk/image-identification-dev-02/image-identification-development/src/Main.java

@@ -111 +111 @@
     static int STANDARD_DEVIATION_THRESHOLD = 6;
     static int MINLINECOUNT                 = 40;
-    static int MAXLINEGAP                   = 1;  //4
+    static int MAXLINEGAP                   = 1;
     static double THRESHOLD_C               = 4;
     static double SLOPEGRADIENT             = 0.02; //0.02
@@ -757 +757 @@
             //!!!!!!!!!!!!!!!!!!!!!!!!!!!NOTNOT!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
             //coo.31924062612282-9.png 8   lines
-            //String default_file = hiresDirectory+ "MU/SheetMusic/mdp.39015096400919-9.png";
+            String default_file = hiresDirectory+ "MU/SheetMusic/mdp.39015096400919-9.png";
+            //String default_file = hiresDirectory+ "MU/SheetMusic/coo.31924062612282-9.png";
 
             //String default_file = hiresDirectory+ "MU/SheetMusic/mdp.39015096402204-2.png";
@@ -778 +779 @@
             //String default_file = "TestImages/SheetMusic01.png";
             //String default_file = "TestImages/SheetMusic02.png";
-            String default_file = "TestImages/vLine.png";
+            //String default_file = "TestImages/vLine.png";
             String filename = ((args.length > 0) ? args[0] : default_file);
             File file = new File(filename);
@@ -791 +792 @@
             // Edge detection
 
-            Imgproc.adaptiveThreshold(original, edgesDetected,255, Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C,Imgproc.THRESH_BINARY_INV, 15, THRESHOLD_C);
+            Imgproc.adaptiveThreshold(original, edgesDetected,255, Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C,Imgproc.THRESH_BINARY_INV, 1001, THRESHOLD_C);
             //TEST PARAMETERSImgproc.adaptiveThreshold(original, edgesDetected,255, Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C,Imgproc.THRESH_BINARY_INV, 531,1);
 
 
 //            //IGNORE BORDERS OF IMAGE (using crop)
-//            Imgproc.adaptiveThreshold(original, mid,255, Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C,Imgproc.THRESH_BINARY_INV, 15, 2);
+//            Imgproc.adaptiveThreshold(original, mid,255, Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C,Imgproc.THRESH_BINARY_INV, 1001, 2);
 //            double maxX = mid.size().width;
 //            double maxY = mid.size().height;
-//            Point cp1 = new Point(maxX/10, maxY/10);
+//            Point cp1 = new Point(maxX/5, maxY/5);
 //            Point cp2 = new Point(maxX - cp1.x, maxY -cp1.y);
 //            Rect rectCrop = new Rect(cp1, cp2);
 //            edgesDetected = mid.submat(rectCrop);
 
-
+//            System.out.println("Width: " + edgesDetected.width() + " Height: " + edgesDetected.height());
             //****************MORPHOLOGY****************************************************************************************
             //ADDIOTIONAL FILTERING TO STOP STREAKS
@@ -833 +834 @@
 
             double minLineLength = edgesDetectedRGB.size().width/8;
-
+            imwrite("houghtest-bin.jpg", edgesDetectedRGB);
             Imgproc.HoughLinesP(edgesDetected, linesP, 1, Math.PI / 720, HOUGHLINEP_THRESHOLD, minLineLength,MAXLINEGAP); // runs the actual detection
             //System.out.println("Before Gradient Filtering num lines: " + linesP.rows());
@@ -856 +857 @@
             //File filenameTest = new File("TestImages/NotSheetMusic02.png");
             //BufferedImage i = ImageIO.read(filenameTest);
-            BufferedImage toBeClassifiedImg = toBufferedImage(edgesDetectedRGB);
+            //BufferedImage toBeClassifiedImg = toBufferedImage(edgesDetectedRGB);
 
 
             //Display Results
+
+            imwrite("houghtest-lines.jpg", edgesDetectedRGB);
             //HighGui.imshow("Source", original);
             //HighGui.imshow("Just Edges", justEdges); //TESTING
 
-
-            HighGui.imshow("LINESFOUND", edgesDetectedRGB);
-            HighGui.resizeWindow("LINESFOUND", 1000,1000);
-            
-            HighGui.imshow("CLUSTERSFOUND", clustersFoundRGB);
-            HighGui.resizeWindow("CLUSTERSFOUND", 1000,1000);
+//            HighGui.namedWindow("LINESFOUND", HighGui.WINDOW_AUTOSIZE);
+//            HighGui.imshow("LINESFOUND", edgesDetectedRGB);
+//            HighGui.resizeWindow("LINESFOUND", 1000,1000);
+//
+//
+//            HighGui.imshow("CLUSTERSFOUND", clustersFoundRGB);
+//            HighGui.namedWindow("CLUSTERSFOUND", HighGui.WINDOW_AUTOSIZE);
+//            HighGui.resizeWindow("CLUSTERSFOUND", 1000,1000);
 
             //HighGui.imshow("Detected Lines (in red) - negative", edgesDetectedRGBProb);
@@ -874 +879 @@
             System.out.println("LINE COUNT RESULT:   " +  ClassifierLineCount(horizontalLineCount) + '\t' +"LinesFound: " + horizontalLineCount); //COUNT OF LINES CLASSIFICATION
             //System.out.println("LINE CLUSTER RESULT: " +  ClassifierLineClusterOLD(toBeClassifiedImg).get(0) + '\t' + "LinesFound: " + ClassifierLineClusterOLD(toBeClassifiedImg).get(1) + '\t' + "ClustersFound: " + ClassifierLineClusterOLD(toBeClassifiedImg).get(2));
-            System.out.println("NEW CLUSTER RESULTS: " +  ClassifierLineClusterPt(pointArrayList,clustersFoundRGB).get(0) + '\t' + "LinesFound: " + horizontalLineCount + '\t' + "ClustersFound: " + ClassifierLineClusterPt(pointArrayList,clustersFoundRGB).get(1));
+            //System.out.println("NEW CLUSTER RESULTS: " +  ClassifierLineClusterPt(pointArrayList,clustersFoundRGB).get(0) + '\t' + "LinesFound: " + horizontalLineCount + '\t' + "ClustersFound: " + ClassifierLineClusterPt(pointArrayList,clustersFoundRGB).get(1));
             //System.out.println(ClassifierLineClusterPt(pointArrayList, clustersFoundRGB));
 
@@ -880 +885 @@
 
             // Wait and Exit
-            HighGui.waitKey();
+            //HighGui.waitKey();
             System.exit(0);
         }