![Given a Vertical Derivative Kernel, Find the output image after K is applied to the above input image - Signal Processing Stack Exchange Given a Vertical Derivative Kernel, Find the output image after K is applied to the above input image - Signal Processing Stack Exchange](https://i.stack.imgur.com/yq6Ig.png)
Given a Vertical Derivative Kernel, Find the output image after K is applied to the above input image - Signal Processing Stack Exchange
![6.1. Gaussian Smoothing and Gaussian Derivatives — Image Processing and Computer Vision 2.0 documentation 6.1. Gaussian Smoothing and Gaussian Derivatives — Image Processing and Computer Vision 2.0 documentation](https://staff.fnwi.uva.nl/r.vandenboomgaard/IPCV20172018/_images/krant_koenderink_1.png)
6.1. Gaussian Smoothing and Gaussian Derivatives — Image Processing and Computer Vision 2.0 documentation
![Image derivative. Analysis of the first derivative of an… | by Giuseppe Pio Cannata | Towards Data Science Image derivative. Analysis of the first derivative of an… | by Giuseppe Pio Cannata | Towards Data Science](https://miro.medium.com/v2/resize:fit:1140/1*-blp9ofkM2z_YG750XQbBA.png)
Image derivative. Analysis of the first derivative of an… | by Giuseppe Pio Cannata | Towards Data Science
![SOLVED: Sobel kernelfilter basically just a combination of a derivative kernel and smoothing kernel: If the x-derivative kernel for this is, Dz what would the smoothing kernel be such that we get SOLVED: Sobel kernelfilter basically just a combination of a derivative kernel and smoothing kernel: If the x-derivative kernel for this is, Dz what would the smoothing kernel be such that we get](https://cdn.numerade.com/ask_images/ef32ddd5576846e287d04b823c918152.jpg)
SOLVED: Sobel kernelfilter basically just a combination of a derivative kernel and smoothing kernel: If the x-derivative kernel for this is, Dz what would the smoothing kernel be such that we get
![Calculating the Derivative of the Error with respect to Convolution Filter Weights in a CNN | Telesens Calculating the Derivative of the Error with respect to Convolution Filter Weights in a CNN | Telesens](https://www.telesens.co/wp-content/uploads/2017/10/img_59f6180c9c106.png)