diff --git a/Python/opencv-image-processing/Hough_probablistic_transform.py b/Python/opencv-image-processing/Hough_probablistic_transform.py
new file mode 100644
index 00000000..ea2be1ef
--- /dev/null
+++ b/Python/opencv-image-processing/Hough_probablistic_transform.py
@@ -0,0 +1,17 @@
+import cv2
+import numpy as np
+
+img = cv2.imread('images/roads.png')
+gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
+edges = cv2.Canny(img,50,150,apertureSize = 3)
+cv2.imshow('Edges',edges)
+lines = cv2.HoughLinesP(edges, 1 ,np.pi/180,100,minLineLength = 100,
+                        maxLineGap = 10)
+
+for line in lines:
+    x1,y1,x2,y2 = line[0]
+    cv2.line(img,(x1,y1),(x2,y2),(0,255,0),2)
+    
+cv2.imshow('image',img)
+k = cv2.waitKey(0)
+cv2.destroyAllWindows()
\ No newline at end of file
diff --git a/Python/opencv-image-processing/images/roads.png b/Python/opencv-image-processing/images/roads.png
new file mode 100644
index 00000000..8f033dd4
Binary files /dev/null and b/Python/opencv-image-processing/images/roads.png differ
diff --git a/Python/opencv-image-processing/images/smarties.png b/Python/opencv-image-processing/images/smarties.png
new file mode 100644
index 00000000..90bf22dd
Binary files /dev/null and b/Python/opencv-image-processing/images/smarties.png differ
diff --git a/Python/opencv-image-processing/morphological_transformations_opencv_python.py b/Python/opencv-image-processing/morphological_transformations_opencv_python.py
new file mode 100644
index 00000000..002c7060
--- /dev/null
+++ b/Python/opencv-image-processing/morphological_transformations_opencv_python.py
@@ -0,0 +1,34 @@
+import cv2
+import numpy as np
+from matplotlib import pyplot as plt
+
+
+img = cv2.imread('images\smarties.png', cv2.IMREAD_GRAYSCALE)
+_,mask = cv2.threshold(img,220,255,cv2.THRESH_BINARY_INV)
+
+kernel = np.ones((5,5),np.uint8)
+
+dilation = cv2.dilate(mask,kernel = kernel, iterations = 2)
+
+erosion = cv2.erode(mask,kernel,iterations= 1)
+
+opening = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernel)
+
+closing = cv2.morphologyEx(mask,cv2.MORPH_CLOSE,kernel)
+
+morphological_gradient = cv2.morphologyEx(mask,cv2.MORPH_GRADIENT,kernel)
+
+top_Hat = cv2.morphologyEx(mask,cv2.MORPH_TOPHAT,kernel)
+                                          
+
+                                          
+titles = ['image','mask','Dilation','erosion','opening','closing','morphological_gradient','top_Hat']
+images = [img,mask,dilation,erosion,opening,closing,morphological_gradient,top_Hat]
+
+for i in range(8):
+    plt.subplot(2,4,i+1)
+    plt.imshow(images[i],cmap='gray')
+    plt.title(titles[i])
+    plt.xticks([]),plt.yticks([])
+
+plt.show()