gtda.images: Images

The module gtda.images implements techniques that can be used to apply Topological Data Analysis to images.

Preprocessing

images.Binarizer([threshold, n_jobs])	Binarize all 2D/3D greyscale images in a collection.
images.Inverter([max_value, n_jobs])	Invert all 2D/3D images in a collection.
images.Padder([padding, value, n_jobs])	Pad all 2D/3D images in a collection.
images.ImageToPointCloud([n_jobs])	Represent active pixels in 2D/3D binary images as points in 2D/3D space.

Filtrations

images.HeightFiltration([direction, n_jobs])	Filtrations of 2D/3D binary images based on distances to lines/planes.
images.RadialFiltration([center, radius, …])	Filtrations of 2D/3D binary images based on distances to a reference pixel.
images.DilationFiltration([n_iterations, n_jobs])	Filtrations of 2D/3D binary images based on the dilation of activated regions.
images.ErosionFiltration([n_iterations, n_jobs])	Filtrations of 2D/3D binary images based on the erosion of activated regions.
images.SignedDistanceFiltration([…])	Filtrations of 2D/3D binary images based on the dilation and the erosion of activated regions.
images.DensityFiltration([radius, metric, …])	Filtrations of 2D/3D binary images based on the number of activated neighboring pixels.