Course Content
Fundamentals of Image Manipulation with Python
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.
Swipe to show code editor
- Define a
15x15kernel. - Erode the image stored in the
image1variable.
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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.
Swipe to show code editor
- Define a
15x15kernel. - Erode the image stored in the
image1variable.
Switch to desktop for real-world practiceContinue from where you are using one of the options below