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Convolution on a pixel by pixel basis of digital image data with an appropriate matrix is a common technique for extraction of features from an

Convolution on a pixel by pixel basis of digital image data with an appropriate matrix
is a common technique for extraction of features from an image and other forms of
manipulation.
(a)(5 points) The Laplacian matrix is frequently used to detect edges and/or outlier
pixels in images. What does this look like? Explain how it works.Convolution on a pixel by pixel basis of digital image data with an appropriate matrix
is a common technique for extraction of features from an image and other forms of
manipulation.
(a)(5 points) The Laplacian matrix is frequently used to detect edges and/or outlier
pixels in images. What does this look like? Explain how it works.Convolution on a pixel by pixel basis of digital image data with an appropriate matrix
is a common technique for extraction of features from an image and other forms of
manipulation.
(a)(5 points) The Laplacian matrix is frequently used to detect edges and/or outlier
pixels in images. What does this look like? Explain how it works.Convolution on a pixel by pixel basis of digital image data with an appropriate matrix
is a common technique for extraction of features from an image and other forms of
manipulation.
(a)(5 points) The Laplacian matrix is frequently used to detect edges and/or outlier
pixels in images. What does this look like? Explain how it works.

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