PPT on how to cartoonify an image

1. CARTOONIFYING
AN IMAGE

2. MEET OUR TEAM
2
SAMIKSHA P BHARGAVA
20191ISE0147
SANSKRUTHI S GOWDA
20191ISE0149

3. CONTENT
Introduction​
Literature Survey
​Problem Statement
Objective
Algorithms Used
​Working of the project
Applications
References​

4. INTRODUCTION
Social media is extensively used these days. And standing out in this online
crowd has always been a to-do on every user’s list on these social media
platforms. Be it images, blog posts, artwork, tweets, memes, opinions and
what not being used to seek attention of followers or friends to create
influence or to connect with them on such social platforms. We aim to
provide one such creative solution to their needs, which is applying
cartoon like effects to their images. Users can later share these images on
any social media platforms, messengers, keep it for themselves, share it with
loved ones or do whatever they like with it. Nowadays almost everyone is
registered in social networks. We keep online status updated every day, share
photos and comments, follow our friends’ news. To have a nice profile is a
matter of prestige. You can use a photo of your own in a profile image, create
an amusing avatar or turn your photo into a cartoon.
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5. LITERATURE SURVEY
Cartoonizing an image with transform an image into its cartoon form . Today
we find many numbers of application on internet to convert images to cartoon
effect. Cartoon style have unique style identification with high level
signification, abstraction and carton image tends to clear edges, smooth color
and relatively simple textures which exhibits signification for texture
description based on loss function used in existing method . There are
multiple properties in image processing. Each picture of the element together
viewed as 2-D matrix . In this field of research processing an image consisting
of an identifying an object in image, identifying an image, number of objects,
changing the images to blur edges and such effects are highly appreciated .
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6. PROBLEM STATEMENT
 To convert a real-life image into cartoon effect.
 The cartoon is the most popular, famous and entertaining art.
 Image to Image conversion is a task to establish a visual mapping
between output and Input images .
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7. OBJECTIVE
 We aim to transform images into its cartoon.
 Yes, we will CARTOONIFY the images.
 Thus, we will build a python application that will transform an image into its
cartoon using OpenCV.
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8. ALGORITHMS USED
 Convolutional Neural Network
It is a network architecture for deep learning that learns directly from
data. They are particularly useful for finding patterns in images to recognize
objects, classes and categories.
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9. APPLICATIONS
 Face recognition
 Image transformation
 Object Detection
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10. WORKING OF THE PROJECT
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Step 1: Importing the Required modules.
i. cv2
ii. easygui
iii. numpy
iv. imageio
v. Matplotlib
vi. Os

11. WORKING OF THE PROJECT
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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

12. WORKING OF THE PROJECT
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Step 2: Building a File Box to choose a particular file.
def upload():
ImagePath=easygui.fileopenbox()
cartoonify(ImagePath)
Step 3: How is an image stored?
originalmage = cv2.imread(ImagePath)
originalmage = cv2.cvtColor(originalmage, cv2.COLOR_BGR2RGB)
if originalmage is None:
print("Can not find any image. Choose appropriate file")
sys.exit()
ReSized1 = cv2.resize(originalmage, (960, 540))

13. WORKING OF THE PROJECT
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Step 2: Building a File Box to choose a particular file.
def upload():
ImagePath=easygui.fileopenbox()
cartoonify(ImagePath)
Step 3: How is an image stored?
originalmage = cv2.imread(ImagePath)
originalmage = cv2.cvtColor(originalmage, cv2.COLOR_BGR2RGB)
if originalmage is None:
print("Can not find any image. Choose appropriate file")
sys.exit()
ReSized1 = cv2.resize(originalmage, (960, 540))

14. WORKING OF THE PROJECT
Step 4: Transforming an image to grayscale
CODE:
grayScaleImage = cv2.cvtColor(originalmage,
cv2.COLOR_BGR2GRAY)
ReSized2 = cv2.resize(grayScaleImage, (960, 540))
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15. WORKING OF THE PROJECT
Step 5: Smoothening a grayscale image
CODE:
smoothGrayScale = cv2.medianBlur(grayScaleImage, 5)
ReSized3 = cv2.resize(smoothGrayScale, (960, 540))
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16. WORKING OF THE PROJECT
Step 6: Retrieving the edges of an image
CODE:
getEdge = cv2.adaptiveThreshold(smoothGrayScale, 255,
cv2.ADAPTIVE_THRESH_MEAN_C,
cv2.THRESH_BINARY, 9, 9)
ReSized4 = cv2.resize(getEdge, (960, 540))
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17. WORKING OF THE PROJECT
Step 7: Preparing a Mask Image
CODE:
colorImage = cv2.bilateralFilter(originalmage, 9, 300, 300)
ReSized5 = cv2.resize(colorImage, (960, 540))
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18. WORKING OF THE PROJECT
Step 8: Giving a Cartoon Effect
CODE:
cartoonImage = cv2.bitwise_and(colorImage, colorImage,
mask=getEdge)
ReSized6 = cv2.resize(cartoonImage, (960, 540))
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19. WORKING OF THE PROJECT
Step 9: Plotting all the transitions together
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20. WORKING OF THE PROJECT
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Step 10: Functionally of save button
CODE:
def save(ReSized6, ImagePath):
newName="cartoonified_Image"
path1 = os.path.dirname(ImagePath)
extension=os.path.splitext(ImagePath)[1]
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)

21. WORKING OF THE PROJECT
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Step 11: Making the main window
CODE:
top=tk.Tk()
top.geometry('400x400')
top.title('Cartoonify Your Image !')
top.configure(background='white')
label=Label(top,background='#CDCDCD', font=('calibri',20,'bold'))

22. WORKING OF THE PROJECT
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Step 12: Making the Cartoonify button in the main
window
CODE:
upload=Button(top,text="Cartoonify an
Image",command=upload,padx=10,pady=5)
upload.configure(background='#364156',
foreground='white',font=('calibri',10,'bold'))
upload.pack(side=TOP,pady=50)
Step 13: Making a Save button in the main window
CODE:
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'))

23. WORKING OF THE PROJECT
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Step 14: Main function to build the tkinter window
CODE:
top.mainloop()

24. CONCLUSION
Thus we have shown that how image can be converted to cartoon. We also stated the
examples on how image is converted to cartoon. The systematic working of image to
cartoon conversion and respective algorithm and formulae is shown with neat diagram.
We have also discussed need and scope of cartoonifying the content image.
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25. REFERENCES
International journal of advance research,
ideas and innovation in technology.
Technical Paper Presentation on Application of
Cartoon like Effects to Actual Images.
Data flair Website.
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26. THANK YOU