From 29361f77be4ae8092f9c0e2ab92f5fb52073e146 Mon Sep 17 00:00:00 2001 From: "Felix Wechsler (he/him)" Date: Wed, 29 Nov 2023 16:18:43 +0100 Subject: [PATCH] Update README.md [skip ci] --- README.md | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index ed4a136..244fb0b 100644 --- a/README.md +++ b/README.md @@ -1,15 +1,18 @@ # RadonKA -A simple but still decently fast radon and iradon transform based on KernelAbstractions.jl +A simple but still decently fast Radon and IRadon transform based on KernelAbstractions.jl [![Build Status](https://github.com/roflmaostc/RadonKA.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/roflmaostc/RadonKA.jl/actions/workflows/CI.yml?query=branch%3Amain) [![Coverage](https://codecov.io/gh/roflmaostc/RadonKA.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/roflmaostc/RadonKA.jl) - # Quick Overview -* provides `radon` and `iradon` +* For 3D arrays (2D arrays are special case of 3D). +* provides parallel `radon` and `iradon` +* provides parallel exponential `radon` and `iradon` +* It is restricted to the incircle of radius `N รท 2 - 1` if the array has size `(N, N, N_z)` * based on [KernelAbstractions.jl](https://github.com/JuliaGPU/KernelAbstractions.jl) * tested on `CPU()` and `CUDABackend` +* Can be applied to Computed Tomography (CT) like problems # Installation