To create a Turing pattern in Photoshop, you start with a grayscale noise image and repeatedly apply a fixed sequence of filters: Gaussian Blur, Threshold, and High Pass. This iterative process is automated using a recorded Action bound to the F2 key.
Conditions: Start from a grayscale noise image.; Convert the layer to a Smart Object so filters remain editable.; Record the filter sequence as an Action.; Repeat the recorded filter sequence until a maze-like pattern emerges.
To create a Turing pattern in Photoshop, you start with a grayscale noise image and repeatedly apply a fixed sequence of filters: Gaussian Blur, Threshold, and High Pass. This iterative process is automated using a recorded Action bound to the F2 key.
Conditions: Start from a grayscale noise image.; Convert the layer to a Smart Object so filters remain editable.; Record the filter sequence as an Action.; Repeat the recorded filter sequence until a maze-like pattern emerges.
In the Turing pattern workflow, the Gaussian Blur filter is applied with a Radius of 3.0 Pixels. This step smooths the initial random field before binarization and edge enhancement, reducing high-frequency randomness so that later thresholding can produce larger coherent black-and-white regions.
Conditions: Applied to the current grayscale image layer.; Part of the repeated filter cycle for pattern generation.
In the Turing pattern workflow, the Gaussian Blur filter is applied with a Radius of 3.0 Pixels. This step smooths the initial random field before binarization and edge enhancement, reducing high-frequency randomness so that later thresholding can produce larger coherent black-and-white regions.
Conditions: Applied to the current grayscale image layer.; Part of the repeated filter cycle for pattern generation.
The Add Noise filter introduces small perturbations to the initial smooth noise field generated by the Clouds filter. These high-frequency, pixel-level variations are necessary to break perfect symmetry and provide the seeds for the macroscopic Turing pattern to emerge during the iterative filter cycle.
Conditions: Applied after the Clouds filter.; Amount is set to 25%.; Distribution is set to Uniform.; Monochromatic is checked.
The Add Noise filter introduces small perturbations to the initial smooth noise field generated by the Clouds filter. These high-frequency, pixel-level variations are necessary to break perfect symmetry and provide the seeds for the macroscopic Turing pattern to emerge during the iterative filter cycle.
Conditions: Applied after the Clouds filter.; Amount is set to 25%.; Distribution is set to Uniform.; Monochromatic is checked.
In this context, the High Pass filter retains only the high-frequency components of the image, effectively removing smooth gradients and leaving edges and fine details. Mathematically, it approximates the computation of local spatial derivatives or Laplacians, which govern the diffusion component of the reaction-diffusion equations.
Conditions: Radius is set to 6.0 Pixels.; Applied after the Add Noise filter.
In this context, the High Pass filter retains only the high-frequency components of the image, effectively removing smooth gradients and leaving edges and fine details. Mathematically, it approximates the computation of local spatial derivatives or Laplacians, which govern the diffusion component of the reaction-diffusion equations.
Conditions: Radius is set to 6.0 Pixels.; Applied after the Add Noise filter.
After the Turing-like maze pattern has formed, the Unsharp Mask filter is applied with an Amount of 200%, a Radius of 200.0 Pixels, and a Threshold of 0 levels. This heavily enhances the contrast between the black and white regions, making the pattern lines sharper and more distinct without changing the underlying topology.
Conditions: Applied after the repeated Turing-pattern cycle.; Used to make the black-and-white maze edges clearer.
After the Turing-like maze pattern has formed, the Unsharp Mask filter is applied with an Amount of 200%, a Radius of 200.0 Pixels, and a Threshold of 0 levels. This heavily enhances the contrast between the black and white regions, making the pattern lines sharper and more distinct without changing the underlying topology.
Conditions: Applied after the repeated Turing-pattern cycle.; Used to make the black-and-white maze edges clearer.
The Threshold adjustment converts the grayscale image into a binary (black and white) image by setting all pixels below a certain level to black and all pixels above to white. This step discretizes the continuous values resulting from the high-pass filter into the final distinct black and white pattern, acting as a non-linear operation akin to a bistable chemical system.
Conditions: Level is set to 127.; Applied after the High Pass filter.
The Threshold adjustment converts the grayscale image into a binary (black and white) image by setting all pixels below a certain level to black and all pixels above to white. This step discretizes the continuous values resulting from the high-pass filter into the final distinct black and white pattern, acting as a non-linear operation akin to a bistable chemical system.
Conditions: Level is set to 127.; Applied after the High Pass filter.