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.
BIDS Spring 2016 Data Science Faire | May 3, 2016 | 1:30-4:30 p.m. | 190 Doe Library, UC Berkeley
Lucas Merrill Brown, Data Scientist and Digital Expert, US Digital Service, White House, gave this lightning talk at the BIDS Spring 2016 Data Science Faire on May 3, 2016.
BIDS Spring 2016 Data Science Faire | May 3, 2016 | 1:30-4:30 p.m. | 190 Doe Library, UC Berkeley
Zhao Zhang, Postdoctoral Researcher, Dept. of Electrical Engineering and Computer Science; BIDS Data Science Fellow, gave this lightning talk at the BIDS Spring 2016 Data Science Faire on May 3, 2016.
BIDS Spring 2016 Data Science Faire | May 3, 2016 | 1:30-4:30 p.m. | 190 Doe Library, UC Berkeley
Kellie Ottoboni, Graduate Student, Dept. of Statistics; BIDS Data Science Fellow, gave this lightning talk at the BIDS Spring 2016 Data Science Faire on May 3, 2016.
BIDS Spring 2016 Data Science Faire | May 3, 2016 | 1:30-4:30 p.m. | 190 Doe Library, UC Berkeley
Garret Christensen, Research Fellow, Berkeley Initiative for Transparency in the Social Sciences; BIDS Data Science Fellow, gave this lightning talk at the BIDS Spring 2016 Data Science Faire on May 3, 2016.
