Short Course on Image Analysis for Porous Media

Short Course on Image Analysis for Porous Media
July 12-14, 2011
Short Course on Image Analysis for Porous Media (July 12-14, 2011)

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

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. (Registration for this course is closed). 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 ( 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.


Figure: (above) A tomographic slice of an imaged Bentheimer sandstone and (below) the result of the grain extraction algorithm.

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.

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.
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)
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)
  1. Imaging modalities (Sessions 1 and 2 / total 3 hours)
  2. Typical workflow in image processing for porous systems
  3. Advanced topics (Sessions 8-10,  4.5 hours total)
  4. Visit to microtomography imaging center UTCT
  5. Demonstration of core flood imaging using medical scanner