Short
Course on
Image Analysis for Porous Media (July 12-14, 2011)
Instructors:
Prof. Dorthe
Wildenschild (Oregon State University)
Prof. Adrian
Sheppard (Australian National University)
Prof. Maša
Prodanović
(The University of Texas at Austin)
Target Audience:
Graduate students and researchers working in porous
media characterization and modeling.
Location: Student
Activity Center, Room 2.120
The University of Texas at Austin, 2200 Speedway
Ave, Austin, TX 78712
Detailed program and Google
calendar are available.
Short Course will
be
limited to
40 participants to ensure quality of instruction;
hence formal
application is required.
Application Procedure:
You can formally apply by submittiing the
following
form.
You will be asked to provide some basic
information on your work, educational
background, and image
analysis related experience. You
will receive a confirmation email within a week of
your application.
Please email us (short.course.utexas@gmail.com) if
you haven't heard
from us within two weeks of your application.
Application
Deadline: May
1
Acceptance Notification: May 15
Short Course Fee:
$200
The support for student attendance/travel might
become available, in
which case the fee will be waived.
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Figure:
(above) A
tomographic slice of an imaged Bentheimer
sandstone and (below) the
result of the grain extraction algorithm.
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Short
Course Program
The short course will be a
combination of
lectures and hands-on exercises using a combination of
ImageJ and
Matlab (as necessary). Since both software are easily
available,
participants will be able to take home useful scripts.
The
participation is limited to 40 so that instructors can
address all
personal questions and concerns. You are welcome to
bring along an
image analysis problem you are working on.
- Imaging
modalities (Sessions 1 and 2 / total 3 hours)
- a. Types of imaging techniques
(focus
on x-ray, overview of NMR, CLSM, SEM, FIB)
- b. Dimensionality and data
acquisition (multiple images, presence of multiple
fluids)
- c. Image
quality: sharpness and contrast
- d. What
is an image? Data types, introductory ImageJ hands-on
session.
- Typical
workflow in image processing for porous systems
- a. Preprocessing and
filtering
(tomographic
images); noise reduction and edge enhancement,
masking;
(Session 3, 1.5hrs)
- b. Segmentation (identifying
features
of
interest); manual and automatic methods; quality
control in
segmentation;
(Session 4, 1.5hrs; hands on exercises)
- c. Binary image manipulation and
morphological
methods (Euclidean distance, morphological
opening/closing etc.);
(Session 5, 1.5hrs; hands on exercises)
- d. Quantification of features
(Session
6, 1.5hrs; hands-on exercises)
- e. Surface extraction and overview
of
available visualization software
(Session 7, 1.5hrs; hands on exercises)
- Advanced
topics
(Sessions
8-10, 4.5 hours total)
- a. Medial
axis extraction (skeletonization)
- b. Pore-throat
network identification
- c. Region
growing and watershed methods for segmentation and
feature extraction
(“advanced” morphological methods).
- d. Grain-grain separation and network
extraction
- e. New and emerging topics (as time permits)
- - biofilms application
- - extraction of a
surface from a point cloud
- - Level set methodology for both segmentation and
capillarity
controlled flow (use of images in direct flow
modeling)
- Visit to
microtomography
imaging center UTCT
- Demonstration of core
flood imaging using medical scanner
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Short Course Google
Calendar:
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