07-25, 09:00–12:00 (US/Eastern), 32-G449 (Kiva)
The objective of this workshop is to give exposure for using various digital image processing methods in Julia. JuliaImages hosts the major Julia packages for image processing in which Images.jl provides access to various algorithms acting as the umbrella package. The applications of Image processing are found in areas such as machine vision, biomedical image processing and remote sensing. This workshop will help the Julia enthusiasts/scholars to get trained in Julia based image processing .
The goal of this workshop is to provide an overview of the various packages provided by JuliaImages through Images.jl. This package provides a collection of packages that can be used to do common image processing tasks. The majority of these packages can be found at JuliaImages, JuliaArrays, JuliaIO, JuliaGraphics, and JuliaMath. We will demonstrate how Images.jl streamlines the process of handling image processing in Julia. Furthermore, we will examine benchmarks, design choices, and how JuliaImages uses benefits provided by Julia itself.
In this workshop, we will explore algorithms provided by various packages like:
- ImageCore.jl
- ImageFiltering.jl
- ImageSegmentation.jl
- ImageTransformations.jl
- ImageQualityIndexes.jl
- ColorQuantisation.jl
These tools can prove to be very useful during various ML stages like preprocessing, postprocessing and evaluation which will be explored.
I am the Alan A. and Edith L. Wolff Professor of Neuroscience at Washington University in St. Louis. In addition to my scientific research, I contribute to Julia, its tooling, and portions of the package ecosystem.
Software Engineer @FleetSafe India, Backend and Vision. GSOC'22,OSPP'21 with JuliaImages