python opencv cv2.erode

The cv2.erode() function in OpenCV is used to perform erosion on an image. Erosion is a morphological operation that shrinks the boundaries of foreground objects in an image.

Syntax:

cv2.erode(src, kernel, iterations)

Parameters:

- src: Input image
- kernel: Structuring element used for erosion
- iterations: Number of times erosion is applied

Return Value:

The function returns the eroded image.

Example:

import cv2
import numpy as np

# Read input image
img = cv2.imread('input.jpg', 0)

# Define kernel
kernel = np.ones((5,5), np.uint8)

# Perform erosion
eroded_img = cv2.erode(img, kernel, iterations=1)

# Display images
cv2.imshow('Input Image', img)
cv2.imshow('Eroded Image', eroded_img)
cv2.waitKey(0)
cv2.destroyAllWindows()

In this example, we perform erosion on the input image using a 5x5 kernel with one iteration. The eroded image is then displayed using OpenCV's imshow() function.