opencv4 java projection

 

 

          Vertical projection

  Private org.opencv.core.Mat projectionVerticality (org.opencv.core.Mat MAT) { 
        org.opencv.core.Mat projectionMat = mat.clone (); // Quxianjiuguo capture as a MAT        
        projectionMat.setTo ( new new ORG .opencv.core.Scalar (255)); // then put into a white color 
        Double [] = dotList new new Double [mat.cols ()]; // Create a list for storing the number of black dots in each column       
        System .loadLibrary (Core.NATIVE_LIBRARY_NAME); 
        System.out.println (mat.dump ()); 
        int COL = mat.cols ();
         int Row = mat.rows ();
         for ( int X = 0; X <COL; x ++) {
            dotList[x] = 0.0;
            for (int y = 0; y < row; y++) {
                double binData = mat.get(y, x)[0];
                if (binData == 0) {//黑色

                    dotList[x]++;
                }
            }
        }
        //然后生成投影图
        for (int x = 0; x < mat.cols(); x++) {
            for (int y = 0; y < mat.rows(); y++) {
                if (x == 147) {
                    System.out.println ( "Error will next line" ); 
                } 
                IF (Y < dotList [X]) { 
                    projectionMat.put (Y, X, 0 ); 
                    System.out.println (X + "column" + y + "OK" ); 
                } 

            } 

        } 

        return projectionMat; 
    }

 

 

      Horizontal projection

 Private org.opencv.core.Mat projectionHorizontal (MAT org.opencv.core.Mat) { 
        org.opencv.core.Mat projectionMat = mat.clone (); // Quxianjiuguo capture as a MAT        
        projectionMat.setTo ( new new ORG .opencv.core.Scalar (255)); // then put into a white color 
        Double [] = dotList new new Double [mat.rows ()]; // Create a list for storing the number of black dots in each column       
        System .loadLibrary (Core.NATIVE_LIBRARY_NAME); 
        System.out.println (mat.dump ()); 
        int COL = mat.cols ();
         int Row = mat.rows ();
         for ( int Y = 0; Y <Row; y ++) {
            dotList[y] = 0.0;
            for (int x = 0; x < col; x++) {
                double binData = mat.get(y, x)[0];
                if (binData == 0) {//黑色                   
                    dotList[y]++;
                }
            }
        }
        //然后生成投影图
        for (int y = 0; y < mat.rows(); y++) {
            for (int x = 0; x < mat.cols(); x++) {
                try {
                    IF (X < dotList [Y]) { 
                        projectionMat.put (Y, X, 0 ); 
                    } 
                } the catch (Exception E) { 
                    System.out.println ( "Processing of:" + y + "th," + x + "columns" ); 
                } 
            } 
        } 
        return projectionMat; 
    }