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Mariusz
Jankowski
Associate
Professor
Department of Electrical Engineering
University of Southern Maine
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37 College Avenue
Gorham, ME 04038
Office: 127 John Mitchell Center
Phone/Fax: 207-780-5580/5129
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mjankowski@usm.maine.edu
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Image segmentation
using connected components analysis with Mathematica
and the Digital Image Processing application package.
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Current
Teaching:
News and
Projects:
Digital Image Processing is now compatible with the most recent version 6 release of Mathematica (November 2007)
For details go to the product
web page at Wolfram Research, Inc.
Digital Image Processing v. 2.0
has been released (September, 2005)
For details go to the product
web page at Wolfram Research, Inc.
A seminar on image processing with Mathematica
given recently at the Technical University of Eindhoven is available
online (click here
and follow the link to the Colloquium page)
Image processing with Mathematica
and Java
Thanks to J/Link, an exciting new
product from Wolfram Research, Mathematica user's
can now benefit from the vast software resources developed for the Java
platform. For the imaging professional, the Java Advanced Imaging, and
to a lesser degree, Graphics 2D APIs are particularly relevant. If you
are a Mathematica user, or a Java image processing
software developer read the following article (presented at the Mathematica
Developer Conference, 2001).
Download the Mathematica notebook
(approx 12 MB) or view here:
, .
Image acquisition with Mathematica
RIVA (Real-time Image Viewing and Acquisition)
presents a seamless approach to the problem of image acquisition and
processing with Mathematica.
Real-time image capture is made possible by linking Mathematica
with PCVision, a popular line of frame grabbers from Coreco Imaging. RIVA
connects Mathematica to the PCVision frame grabber
using J/Link, JNI, Java and ITEX, a set of
high-level APIs that encapsulates the knowledge about Coreco Imaging's
hardware. From within a Mathematica notebook the
user can grab the entire image or a selected sub-region for immediate
processing with Mathematica and the Digital
Image Processing application package. View the
User's Guide for additional details or go to the download page.
Miscellaneous
links:
Mathematica and OpenGL
Interested in 3D visualization with Mathematica?
Go to Jens-Peer Kuska's pages on MathGL3d.
Mathematica tips and tricks
Here is wonderful source of tips and tricks for the
novice and advanced users. Go to Ted Ersek's Tips and
Tricks pages.
The laboratory is a recent addition to the Electrical
Engineering department's research and project infrastructure. The
laboratory was established in 1999 with State of Maine and the
University of Maine System research and development funds and existing
Department of Electrical Engineering resources.
Modern mathematical computing systems such as Mathematica
have the potential to improve the learning and teaching environments in
many science and engineering disciplines. By significantly increasing
the use of such powerful computing tools in the engineering program, I
hope to positively impact learning outcomes and improve problem solving
skills. I am particularly interested in improving levels of
understanding of basic concepts by increasing the use of scientific
visualization and computation. (Supported in part by a grant
from the National Science Foundation DUE-9650253.)
|University Of Southern Maine|
Department
of Engineering|
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