Subject: Intern (paid): Developing an Automated Sea Nettle Validation System

Description:
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;
and

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
Website URL:
http://http://essic.umd.edu/joom2/index.php/employment/2222-intern-paid-developing-an-automated-sea-nettle-validation-system