Filter an image with OpenCV in Python

  • CV2: Imported to use OpenCV for image processing
  • easygui: Imported to open a file box. It allows us to select any file from our system.
  • Numpy: Images are stored and processed as numbers. These are taken as arrays. We use NumPy to deal with arrays.
  • Imageio: Used to read the file which is chosen by file box using a path.
  • Matplotlib: This library is used for visualization and plotting. Thus, it is imported to form the plot of images.
  • OS: For OS interaction. Here, to read the path and save images to that path.
import cv2 #for image processing
import easygui #to open the filebox
import numpy as np #to store image
import imageio #to read image stored at particular path
import sys
import matplotlib.pyplot as plt
import os
import tkinter as tk
from tkinter import filedialog
from tkinter import *
from PIL import ImageTk, Image
""" fileopenbox opens the box to choose file
and help us store file path as string """
def upload():
def cartoonify(ImagePath):
#read the image
originalmage = cv2.imread(ImagePath)
originalmage = cv2.cvtColor(originalmage, cv2.COLOR_BGR2RGB)
#print(image) # image is stored in form of numbers

# confirm that image is chosen
if originalmage is None:
print("Can not find any image. Choose appropriate file")

ReSized1 = cv2.resize(originalmage, (960, 540))
#plt.imshow(ReSized1, cmap='gray')
#retrieving the edges for cartoon effect
#by using thresholding technique
getEdge = cv2.adaptiveThreshold(smoothGrayScale, 255,
cv2.THRESH_BINARY, 9, 9)
ReSized4 = cv2.resize(getEdge, (960, 540))
#plt.imshow(ReSized4, cmap='gray')
  1. Highlighted Edges
  2. Smooth colors
#applying bilateral filter to remove noise 
#and keep edge sharp as required
colorImage = cv2.bilateralFilter(originalmage, 9, 300, 300)
ReSized5 = cv2.resize(colorImage, (960, 540))
#plt.imshow(ReSized5, cmap='gray')
#masking edged image with our "BEAUTIFY" image
cartoonImage = cv2.bitwise_and(colorImage, colorImage, mask=getEdge)

ReSized6 = cv2.resize(cartoonImage, (960, 540))
#plt.imshow(ReSized6, cmap='gray')
# Plotting the whole transition
images=[ReSized1, ReSized2, ReSized3, ReSized4, ReSized5, ReSized6]
fig, axes = plt.subplots(3,2, figsize=(8,8), subplot_kw={'xticks':[], 'yticks':[]}, gridspec_kw=dict(hspace=0.1, wspace=0.1))
for i, ax in enumerate(axes.flat):
ax.imshow(images[i], cmap='gray')
//save button code
def save(ReSized6, ImagePath):
#saving an image using imwrite()
path1 = os.path.dirname(ImagePath)
path = os.path.join(path1, newName+extension)
cv2.imwrite(path, cv2.cvtColor(ReSized6, cv2.COLOR_RGB2BGR))
I = "Image saved by name " + newName +" at "+ path
tk.messagebox.showinfo(title=None, message=I)
top.title('Cartoonify Your Image !')
label=Label(top,background='#CDCDCD', font=('calibri',20,'bold'))
upload=Button(top,text="Cartoonify an Image",command=upload,padx=10,pady=5)
upload.configure(background='#364156', foreground='white',font=('calibri',10,'bold'))
save1=Button(top,text="Save cartoon image",command=lambda: save(ImagePath, ReSized6),padx=30,pady=5)
save1.configure(background='#364156', foreground='white',font=('calibri',10,'bold'))



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