How the Sobel Operator Uses Convolution to Detect Edges in Images
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Sobel operator is used in image processing to detect edges and gradients in an image.
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Convolution applies a kernel/filter over an input image to create an output image with some effect.
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Mathematically, convolution multiplies the pixel values of the input image with the kernel values and sums the products.
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Example given of using a box blur kernel to smooth/blur an image.
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The convolution output is normalized by dividing by the number of kernel elements.