A prototype module to apply anisotropic smoothing to images and explore Dash.
Tested on Python 3.8.0 Create a new Python environment and run
>> pip3 install -r requirements.txtTo generate the example sequence of images, run the following from the command line
>> python main.pyAlternatively, launch a local Dash app via
>> python run_app.py
Dash is running on http://127.0.0.1:8050/Open http://127.0.0.1:8050 in a broswer.
The test script loads an image and computes a diffusion tensor. A diffusion tensor is a 2x2 matrix that contains information about coherent structure in an image. Each pixel has its own diffusion tensor computed using nearby points. The following example displays local diffusion tensors as ellipses.
We can use diffusion tensors to apply smoothing along directions of structure in an image. Notice how regular smoothing blurs the image everywhere.
We can also use the diffusion tensor to generate texture noise vectors. This can be useful when we want to simulate noise with local correlations.
