Simo Makiharju, Professor

Closed (1) OpenBubble: Image based Bubble and Droplet Sizing

Applications for Fall 2018 are now closed for this project.

Bubbles, droplets and particles are encountered in applications ranging from fuel sprays to biological flows. Researchers often find themselves writing codes to process images of these, and to a large extent re-inventing the wheel. While toolboxes for processing these images are available commercially and for free, there appears to be a need for a thoughtfully developed, thoroughly documented, fully editable toolbox. The OpenBubble-project (launched in May 2017) aims to develop a robust and well documented open source toolbox for bubble and droplet sizing.

Write, test, document, contribute to sections of code that do one or more of the following: image pre-processing, image segmentation, image based velocity measurement, and post processing.
Students will learn techniques for image based measurements, and of the applications (e.g. bubbly flows under breaking waves) where these are useful.

Day-to-day supervisor for this project: PI and graduate student, Graduate Student

Qualifications: Strong MatLab skills. Self motivated.

Weekly Hours: 6-8 hrs

Related website: flow.berkeley.edu