Image Processing Lecture 4: Gaussian Smoothing and Filtering

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What is the purpose of the Median Filter in image processing?

To reduce noise in an image

What is the result of applying a Gradient Operator to an image?

An edge map of the image

What is the advantage of using Separability in Gaussian Smoothing?

It reduces the number of operations required

What is the function of the Thresholding step in Gradient Operators?

To determine the significance of the gradient

What is the difference between the Roberts and Prewitt Operators?

The Roberts Operator uses a 2x2 kernel, while the Prewitt Operator uses a 3x3 kernel

What is the purpose of applying a Derivative Filter to an image?

To detect changes in pixel values

Test your understanding of image processing techniques, including Gaussian smoothing, separability, and filtering methods such as median and derivative filters. Learn how to apply these concepts to reduce noise and detect changes in images.

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