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Material (0, 2017-03-11)
Material\Simulation.png (63806, 2017-03-11)
source (0, 2017-03-11)
source\conv.v (2448, 2017-03-11)
source\mac.v (217, 2017-03-11)
source\shift.v (1879, 2017-03-11)
tests (0, 2017-03-11)
tests\conv_test.v (1238, 2017-03-11)
tests\shift_testbench.v (396, 2017-03-11)

# Implementation of Sobel Filter on Verilog The code currently computes convolution of an image with a fixed kernel to find a gradient. By extending the logic to two gradients along x and y axes, and computing the square root of the squared sums, Sobel filter can be implemented. The convolution approach has been adopted from [this paper](http://ieeexplore.ieee.org/document/5272559/). ## Example Assume we have a 5*5 image. | 1 | 2 | 3 | 4 | 5 | | ------------- |:-------------:| -----:|:-------------:| -----:| | 0 | 1 | 0 | 1 | 0 | | 1 | 2 | 3 | 4 | 5 | | 0 | 1 | 0 | 1 | 0 | | 1 | 2 | 3 | 4 | 5 | and a 3*3 kernel | 1 | 2 | 1 | | ------------- |:-------------:| -----:| | 0 | 0 | 0 | | 1 | 2 | 1 | The output result would be | 7 | 12 | 16 | | ------------- |:-------------:| -----:| | 4 | 4 | 4 | | 7 | 12 | 16 | ## Simulation The result can be verified from the screenshot here. Note that the pxl_out bits are considered only when the valid bit is `1`. 

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