image-processing
Classical kernels: identity, box, Gaussian
taught
Three named starting-point kernels every later filtering chapter builds on -- the do-nothing kernel, the uniform-average kernel, and the bell-shaped weighted-average kernel.
Taught in
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Convolution and kernels, recalled
Computer Vision
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Classical kernels: identity, box, Gaussian
Digital Image Processing
Requires
- separable-filters required
Required by
- Gaussian smoothing, properly derived required
Local knowledge map
Local knowledge map
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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.