Interactive image processing with scikit-image and Dash

Abstract:
Images are an important class of data in science or business. Tasks such as quantification of organ geometry in medical imaging, or construction of training sets and pipelines for machine learning models, typically rely on a combination of interactive user annotations and image processing algorithms. In this talk I will present two open-source packages for interactive image processing from the Python data science ecosystem.

scikit-image is a popular library for processing 2D and 3D images as Numpy numerical arrays, with a focus on scientific imaging and pedagogical example-based documentation. I will show how to use scikit-image for various image processing tasks, from basic preprocessing (eg normalizing image geometry or exposure) to advanced segmentation tasks, and I will discuss future developments planned for scikit-image.

Dash, developed by plotly, is an open-source framework for building interactive analytical web applications in pure Python or R. After a brief demo of how to build an application with Dash, I will present a new component library for Dash called dash-canvas, for interactive image annotation and processing. I will show the current annotation capabilities of dash-canvas, how to integrate annotations with dash-canvas into image processing pipelines, and discuss the roadmap of this young package.

About Emma:
Emmanuelle Gouillart is a scientific Python developer at Plotly (Montreal), where she is a core developer of the `plotly.py` visualization library, and of the more recent `dash-canvas` image annotation library. She has a background in physics and materials science, and she has carried on simultaneously scientific research and software development during the last years. She became a core contributor of Python's popular image processing library scikit-image since a large part of her research relies on extracting quantitative data from image datasets. She has been a co-organizer of the Euroscipy conference during the last ten years, and she enjoys very much discussing with Python users about image processing and visualization at meetups and conferences.