Dynamics of Biofilm Structure

The image analysis approach taken for this work is based on Spatial Gray Level Dependence Matrices (SGLDM). SGLDDI capture the texture on an image in a histogram from which textural descriptors extract features of the spatial organization of the images. With tools from multivariate statistics, the large datasets of image analysis results could be translated into textural fingerprints. Each fingerprint is associated with a developmental state of the biofilm. By following the fingerprints of images over time, we visualize the dynamic developmental history of the biofilm.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Civil and Environmental Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Milferstedt, Kim

Contributors dc:contributor

• Eberhard Morgenroth

• Biology, Microbiology

Language dc:language

eng

Identifier

(MiAaPQ)AAI3290321

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/83344