Add Java and Python code for morphology tutorials.

samples/python/tutorial_code/imgProc/opening_closing_hats/morphology_2.py

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+from __future__ import print_function
+import cv2 as cv
+import numpy as np
+import argparse
+
+morph_size = 0
+max_operator = 4
+max_elem = 2
+max_kernel_size = 21
+title_trackbar_operator_type = 'Operator:\n 0: Opening - 1: Closing  \n 2: Gradient - 3: Top Hat \n 4: Black Hat'
+title_trackbar_element_type = 'Element:\n 0: Rect - 1: Cross - 2: Ellipse'
+title_trackbar_kernel_size = 'Kernel size:\n 2n + 1'
+title_window = 'Morphology Transformations Demo'
+morph_op_dic = {0: cv.MORPH_OPEN, 1: cv.MORPH_CLOSE, 2: cv.MORPH_GRADIENT, 3: cv.MORPH_TOPHAT, 4: cv.MORPH_BLACKHAT}
+
+def morphology_operations(val):
+    morph_operator = cv.getTrackbarPos(title_trackbar_operator_type, title_window)
+    morph_size = cv.getTrackbarPos(title_trackbar_kernel_size, title_window)
+    morph_elem = 0
+    val_type = cv.getTrackbarPos(title_trackbar_element_type, title_window)
+    if val_type == 0:
+        morph_elem = cv.MORPH_RECT
+    elif val_type == 1:
+        morph_elem = cv.MORPH_CROSS
+    elif val_type == 2:
+        morph_elem = cv.MORPH_ELLIPSE
+
+    element = cv.getStructuringElement(morph_elem, (2*morph_size + 1, 2*morph_size+1), (morph_size, morph_size))
+    operation = morph_op_dic[morph_operator]
+    dst = cv.morphologyEx(src, operation, element)
+    cv.imshow(title_window, dst)
+
+parser = argparse.ArgumentParser(description='Code for More Morphology Transformations tutorial.')
+parser.add_argument('--input', help='Path to input image.', default='../data/LinuxLogo.jpg')
+args = parser.parse_args()
+
+src = cv.imread(args.input)
+if src is None:
+    print('Could not open or find the image: ', args.input)
+    exit(0)
+
+cv.namedWindow(title_window)
+cv.createTrackbar(title_trackbar_operator_type, title_window , 0, max_operator, morphology_operations)
+cv.createTrackbar(title_trackbar_element_type, title_window , 0, max_elem, morphology_operations)
+cv.createTrackbar(title_trackbar_kernel_size, title_window , 0, max_kernel_size, morphology_operations)
+
+morphology_operations(0)
+cv.waitKey()