Cartooning an Image using OpenCV - Python

Cartooning an image turns a normal photo into a fun, animated-style picture. With OpenCV, we do this by smoothing the image to simplify colors and detecting edges to create outlines. Combining these steps makes the photo look like a cartoon.

Prerequisites: Opencv module

Approach

• Read the input image.
• Convert the image to grayscale for edge detection.
• Apply a median blur to remove noise.
• Use adaptive thresholding to detect edges.
• Apply a bilateral filter to smooth the image while preserving edges.
• Combine the smoothed image with edges to produce the cartoon effect.

Python Implementation

Output:

Explanation:

• cv2.cvtColor() converts the image to grayscale for edge detection.
• cv2.medianBlur() removes noise for cleaner edges.
• cv2.adaptiveThreshold() detects edges, giving a sketch-like effect.
• cv2.bilateralFilter() smooths colors while keeping edges sharp.
• cv2.bitwise_and() combines smoothed colors and edges for the cartoon effect.