2026-09-20T01:23:05Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/83344 2023-07-11 col_2142_5131 col_2142_14770 com_2142_5130 com_2142_3518 com_2142_234

Eberhard Morgenroth Milferstedt, Kim 2015-09-25T21:04:24Z 2015-09-25T21:04:24Z 10000-01-01 2007 2007 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. Made available in DSpace on 2015-09-25T21:04:24Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3290321.pdf: 8702207 bytes, checksum: de56d765d00407850c8a86c775f62481 (MD5) Previous issue date: 2007 Embargo set by: Seth Robbins for item 84625 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 175 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007. http://hdl.handle.net/2142/83344 (MiAaPQ)AAI3290321 eng Biology, Microbiology Dynamics of Biofilm Structure text Civil and Environmental Engineering Civil and Environmental Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.