Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Fundamentals of Image Manipulation with Python

Erode ImagesErode 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.

Task

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

Mark tasks as Completed

Everything was clear?

Section 1. Chapter 6
AVAILABLE TO ULTIMATE ONLY
course content

Course Content

Fundamentals of Image Manipulation with Python

Erode ImagesErode 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.

Task

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

Mark tasks as Completed

Everything was clear?

Section 1. Chapter 6
AVAILABLE TO ULTIMATE ONLY
some-alt