Analysis and visualization of 3D data in Python - ISVC '19
- Follow the preparation instructions
- Start the notebook server from the same directory as this README with
jupyter notebook
Objectives:
a) a brief overview of scikit-image and related packages in the scientific Python ecosystem, including how to create your environment;
b) filtering, segmentation and data extraction of large 2D and 3D images;
c) exploration and visualization of large 2D and 3D images;
d) inspection, counting, and measuring attributes of objects; routines that extract shape, color and texture features; how to use topological description to calculate equidistant boundaries;
e) data reduction algorithms using priors from image acquisition instruments and/or sample architecture;
f) parallel data processing pipelines for accelerating image analysis.