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

bookErode 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.

Tarea
test

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

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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.

Tarea
test

Swipe to show code editor

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

Mark tasks as Completed
Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
Sección 1. Capítulo 6
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