Boundary (Edge) Detection Using Convolution Operation
Edge detection is a basic image processing technique that helps to find the boundaries of objects in an image by detecting the sharp changes of brightness. It has been widely used in many fields, such as finding fingerprints of tumors and self-driving cars.
One of the applications of the convolution operation in CNN is edge detection. Tuning the parameters of the filter matrix (kernel) allows detecting distinct kinds of boundaries in the image, such as vertical and horizontal edges.

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Preprocessing Before Boundary (Edge) Detection Using Convolution Operation
Math Behind Boundary (Edge) Detection Using Convolution Operation
Visualization of Boundary (Edge) Detection Using Convolution Operation
Convolution Edge Detection in Positive vs. Negative OR Light to Dark vs. Dark to Light Edge Transitions
Convolution-based Vertical Edge Detection
Setting Convolution-based Edge Detection Filter (Kernel) Weights Using Backpropagation