[Colloquium] Announcement: Image Analysis in Python

[Benjamin Recchie]

[RCC_logo]
Image Analysis in Python
Brian Keating, Scientific Programming Consultant, Research Computing Center
Tuesday, April 5, 2016, 2 p.m.–3:30 p.m. | Kathleen A. Zar Room, John Crerar Library
This workshop will cover fundamental techniques of image and video processing, including filtering, segmentation, interest point detection, template matching, and object tracking. The Python image processing libraries OpenCV and skimage will be introduced, but the emphasis will be on language-agnostic concepts. Several real-world examples and hands-on exercises will demonstrate how these techniques can be assembled into a pipeline to allow researchers to address scientific questions.

[http://mindbytes.uchicago.edu/left.jpg]
Level: This is an INTRODUCTORY level course, for people with little or no experience in the topic.

[http://mindbytes.uchicago.edu/right.jpg]
Prerequisites: Basic knowledge of Python and numpy. Matlab users will also benefit. Attendees should install Python 2.7 and the Python libraries numpy, scipy, matplotlib, and scikit-image.


[http://mindbytes.rcc.uchicago.edu/images1.jpeg]<https://training.uchicago.edu/course_detail.cfm?course_id=1653>
Complete list of RCC workshops<https://rcc.uchicago.edu/support-and-services/workshops-and-training>
RESEARCH COMPUTING CENTER<https://rcc.uchicago.edu/>
Email: training at rcc.uchicago.edu
Phone: (773) 795-2667
Walk-in Laboratory: Regenstein 216

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Please forward this announcement to any faculty, student, or staff member who might be interested.


Benjamin Recchie
Communications, Outreach, and Project Manager, Research Computing Center
The University of Chicago
970 E 58th St., Room 340
Chicago, IL 60637
E: bcrecchi at uchicago.edu
T: 773.834.5546
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