Merge pull request #2640 from invigorzz313/morphtransforms

morphological transformations

Author: 1e9abhi1e10

Morphological_transforms/ReadMe.md

@@ -0,0 +1,19 @@
+# Morphological transformations
+This python script will allow us to apply different morphological transformations on an image.
+
+## Setup Instructions
+### Install python3
+sudo apt-get install python3
+### Install pip (package installer for python)
+sudo apt-get install python3-pip
+### Install OpenCV library with pip
+pip3 install opencv-python
+### Install tkinter library
+sudo apt-get install python3-tk
+
+## Details/Output
+A dialog box appears with option to select an image and choice of morphological operation.The result is shown in the window.  
+The input image is first converted into binary format before applying any morphological transformation and hence the output is in black-white format.
+
+## Author
+Github: invigorzz313

Morphological_transforms/Sample1.jpeg

@@ -0,0 +1,92 @@
+from tkinter.filedialog import *
+import tkinter as tk
+import cv2
+
+def select_image(): # selecting image and thresholding it to binary format
+    photo = askopenfilename()
+    global img, thresh
+    img = cv2.imread(photo)
+    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+    threshold_value = 125 # this value needs to be adjusted for every image
+    ret, thresh = cv2.threshold(gray, threshold_value, 255, 0)
+
+def erosion():
+    kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(5,5))
+    eroded = cv2.erode(thresh, kernel, iterations=1)
+    eroded = cv2.resize(eroded,(300,300))
+    cv2.imshow("Erosion", eroded)
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()
+
+def dilation():
+    kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(5,5)) # elliptic kernel
+    dilated = cv2.dilate(thresh, kernel, iterations=1)
+    dilated = cv2.resize(dilated,(300,300))
+    cv2.imshow("Dilation", dilated)
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()
+
+def opening():
+    kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(5,5))
+    opened = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel)
+    opened = cv2.resize(opened,(300,300))
+    cv2.imshow("Opening", opened)
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()
+
+def closing_opn():
+    kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(5,5))
+    closed = cv2.morphologyEx(thresh, cv2.MORPH_CLOSE, kernel)
+    closed = cv2.resize(closed,(300,300))
+    cv2.imshow("Closing", closed)
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()
+
+def morph_grad():
+    kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(5,5))
+    grad = cv2.morphologyEx(thresh, cv2.MORPH_GRADIENT, kernel)
+    grad = cv2.resize(grad,(300,300))
+    cv2.imshow("Morph gradient", grad)
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()
+
+def top_hat():
+    kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(5,5))
+    tophat = cv2.morphologyEx(thresh, cv2.MORPH_TOPHAT, kernel)
+    tophat = cv2.resize(tophat,(300,300))
+    cv2.imshow("Top hat", tophat)
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()
+
+def black_hat():
+    kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(5,5))
+    blackhat = cv2.morphologyEx(thresh, cv2.MORPH_BLACKHAT, kernel)
+    blackhat = cv2.resize(blackhat,(300,300))
+    cv2.imshow("Black hat", blackhat)
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()
+
+window = tk.Tk()
+window.title("Morphological transformations")
+window.geometry('320x220')
+label = tk.Label(window, text="Select an image and then choose an option").grid(row=0, column=0)
+b = tk.Button(window, text="Select image", command=select_image).grid(row=1,column=0)
+
+
+rad1 = tk.Radiobutton(window, text='erosion', value=1, command=erosion)
+rad2 = tk.Radiobutton(window, text='dilation', value=2, command=dilation)
+rad3 = tk.Radiobutton(window, text='opening', value=3, command=opening)
+rad4 = tk.Radiobutton(window, text='closing', value=4, command=closing_opn)
+rad5 = tk.Radiobutton(window, text='morph gradient', value=5, command=morph_grad)
+rad6 = tk.Radiobutton(window, text='top hat', value=6, command=top_hat)
+rad7 = tk.Radiobutton(window, text='black hat', value=7, command=black_hat)
+
+rad1.grid(row=2, column=0)
+rad2.grid(row=3, column=0)
+rad3.grid(row=4, column=0)
+rad4.grid(row=5, column=0)
+rad5.grid(row=6, column=0)
+rad6.grid(row=7, column=0)
+rad7.grid(row=8, column=0)
+
+window.mainloop()