How To Re-Create Photoshop’s Spot Healing Tool In Python Using PyQt5 & Opencv

Photoshop’s spot healing tool is a powerful feature that allows users to easily remove blemishes, imperfections, and other unwanted elements from an image. In this article, we will explore how to re-create this tool using Python, PyQt5, and Opencv.

Setting Up The Environment

Before we can begin re-creating Photoshop’s spot healing tool, we need to set up our development environment. First, ensure that you have Python installed on your machine. Next, install PyQt5 and Opencv using the following commands:

pip install PyQt5

pip install opencv-python

Once you have installed these dependencies, you’re ready to start coding.

Creating The User Interface

Using PyQt5, we can easily create a user interface for our spot healing tool. We can design a simple window with a single image display and a button for the user to click and start the healing process.

<img src="image.jpg" alt="input image">

<button id="healButton">Heal</button>

Implementing The Spot Healing Algorithm

Now that our user interface is set up, we can move on to the algorithm for the spot healing tool. Using Opencv, we can apply a technique known as inpainting to remove unwanted elements from an image. We will create a function that takes the input image and the coordinates of the blemish to remove, and then perform the inpainting process.

import cv2

def spot_heal(image, x, y):

    mask = cv2.imread("mask.png", 0)

    dst = cv2.inpaint(image, mask, 3, cv2.INPAINT_TELEA)

    return dst

Connecting The User Interface And Algorithm

Finally, we need to connect the user interface with our spot healing algorithm. We can use the PyQt5 signal and slot mechanism to connect the button click event to our spot_heal function. When the user clicks the heal button, it will trigger the spot_heal function and display the healed image.

from PyQt5.QtWidgets import QApplication, QMainWindow, QPushButton, QLabel, QVBoxLayout

def heal_image():

    image = cv2.imread("input.jpg")

    healed_image = spot_heal(image, 100, 100)

    cv2.imwrite("output.jpg", healed_image)

Conclusion

Re-creating Photoshop’s spot healing tool in Python using PyQt5 and Opencv is a great way to learn about image processing and graphical user interface programming. By following the steps outlined in this article, you can create your own spot healing tool and begin exploring the world of computer vision and image editing.