Across domains, modalities, and scales of exploration, images form an integral subset of scientific measurements. Despite a deep appeal to human intuition, gaining understanding of image content remains challenging, and often relies on heuristics. Even so, the wealth of knowledge contained inside of images cannot be understated.
Scikit-image is an image processing library, built on top of SciPy, that provides researchers, practitioners, and educators access to a strong foundation upon which to build algorithms and applications.
ImageXD | June 8, 2016 | 2:30-3:00 p.m. | 190 Doe Library, UC Berkeley
Speaker: Matt Turk, University of Illinois
Incredible advances are being made in image processing techniques and tools, but the scientists who use them typically don’t have the opportunity to communicate with scientists who work on similar problems in different domains.