Subject: Intern (paid): Developing an Automated Sea Nettle Validation System
The goal of our study is to develop and implement an automated system to
validate the sea nettle predictions. Specifically, we wish to construct a
system that will automatically collect, extract and process images of surface
waters from a video-feed to ascertain the presence or absence, and if
possible the abundance, of sea nettles in the images.
The immediate steps required to achieve our goal are as follows:
1. Automate sampling and storage of images regularly extracted from the
HPL or CBL video stream (between the hours of 10:00am and 02:00pm);
2. Develop image processing algorithm (written in MATLAB, IDL, ImageJ,
or other common and available image processing software) to automatically
identify, count and print results of the presence/absence and/or abundance of
detected ‘sea nettles’ in retrieved video images;
3. Implement nettle ‘counting’ algorithm to operate automatically;
4. Create program to display image detection results on nettle web site.
Qualifications: Experience with common image processing software, e.g. MATLAB
and IDL, required.
Knowledge and use of streaming video a real plus.
Event Date: May 24, 2016
Event Location: ESSIC
Contact Person: Andy Negri
Contact Email: [log in to unmask]
Contact Phone Number: 301 405 5384