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Вивчайте Erode Images | Image Processing
Fundamentals of Image Manipulation with Python

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Erode Images

Another important function the OpenCV library provides is cv2.erode(), used to erode away the boundaries of foreground objects in images, similar to how soil erosion removes soil. This method is especially useful for binary images.

It requires two inputs: the original image and a structuring element or kernel, which determines the nature of the operation. A pixel in the original image will only remain a foreground pixel (set to 1) if all the pixels under the kernel are also 1; otherwise, it is set to 0, effectively eroding the boundary.

Завдання

Swipe to start coding

  1. Define a 15x15 kernel.
  2. Erode the image stored in the image1 variable.

Рішення

# Create a kernel
kernel = np.ones((15,15), np.uint8)

# Erode the image
image = cv2.erode(image1, kernel)

plt.imshow(image);

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