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I believe there is a typo in the second part of the seven units in the "Images and image processing" module for the Microsoft Azure AI Fundamentals: Computer Vision course. The relevant part of the lecture is here: A common way to perform image processing tasks is to apply filters that modify the pixel values of the image to create a visual effect. A filter is defined by one or more arrays of pixel values, called filter kernels. For example, you could define filter with a 3x3 kernel as shown in this example: The kernel is then convolved across the image, calculating a weighted sum for each 3.3 patch of pixels and assigning the result to a new image. It's easier to understand how the filtering works by exploring a step-by-step example.
Hi Arthur Skok,
Thank you for your patience.
We have reached out to the content author and got a confirmation saying that they had fixed the issue.
Please Accept the Answer so that it will be useful for others in the community.