Let f be an image and g be a Gaussian filter. When we compute x gradient,...
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Let f be an image and g be a Gaussian filter. When we compute x gradient, why a can we first compute g and then convolve an image f with g? What are the ax ax advantages? Let f be an image and g be a Gaussian filter. When we compute x gradient, why a can we first compute g and then convolve an image f with g? What are the ax ax advantages?
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Gaussian Filtering Standard Deviation The Standard deviation of the Gaussian function plays an important role in its behaviour The values located between account for 68 of the set while two standard d... View the full answer
Related Book For
Probability and Statistics
ISBN: 978-0321500465
4th edition
Authors: Morris H. DeGroot, Mark J. Schervish
Posted Date:
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