Lars Grüter
Lars is currently working as a freelance and core developer for the image processing library scikit-image. With an education in electrical engineering and a focus in health and sensor technologies, he has worked as a research assistant on adaptive ultrasound imaging at the TU Dresden. As a student, he started contributing to the scientific Python ecosystem and discovered his interest for signal processing, Linux, and especially Python’s scientific ecosystem.
scikit-image
Homepage –Session
Scientists are producing more and more images with telescopes, microscopes, MRI scanners, etc. They need automatable tools to measure what they've imaged and help them turn these images into knowledge. This tutorial covers the fundamentals of algorithmic image analysis, starting with how to think of images as NumPy arrays, moving on to basic image filtering, and finishing with a complete workflow: segmenting a 3D image into regions and making measurements on those regions.