Refining competition in the self-organising tree map for unsupervised biofilm image segmentation

Neural Networks

Volumn 18, Issue 5-6, 2005, Pages 850-860

  Kyan, Matthew ^a   Guan, Ling ^b   Liss, Steven ^b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b RYERSON UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BACTERIA; MICROSCOPIC EXAMINATION; NEURAL NETWORKS;

MICRO-ORGANISMS; PHASE CONGURENCY; SPATIAL PROXIMITY;

IMAGE SEGMENTATION;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BIOFILM; COMPUTER MODEL; CONFERENCE PAPER; CONFOCAL MICROSCOPY; IMAGE ANALYSIS; LEARNING; MICROBIOLOGICAL EXAMINATION; NONHUMAN; PRIORITY JOURNAL; ARTICLE; BIOLOGICAL MODEL; CLUSTER ANALYSIS; IMAGE PROCESSING; STATISTICAL MODEL;

ALGORITHMS; BIOFILMS; CLUSTER ANALYSIS; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROSCOPY, CONFOCAL; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER);

EID: 27744554375     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2005.06.032     Document Type: Conference Paper

References (17)

1. P. Baveye Comment on 'Evaluation of biofilm image thresholding methods' Water Research 36 2002 805 806
2. J. Besag On the statistical analysis of dirty pictures (with discussion) Journal of Royal Statistical Society. Series B 48 1986 259 302
3. H. Beyenal, Z. Lewandowksi, and G. Harkin Quantifying biofilm structure: Facts and fiction Biofouling 20 1 2004 1 23
4. J. Kittler, and J. Illingworth Minimum error thresholding Pattern Recognition 19 1986 41 47
5. T. Kohonen Self-organized formation of topologically correct feature maps Biological Cybernetics 43 1982 59 69
6. Kong H. S. (1998). The self-organising Tree map, and its applications in digital image processing. PhD Thesis. University of Sydney, Australia.
7. P. Kovesi Image features from phase congruency. Viere Journal of Computer Vision Research 1 3 1999 1 26
8. M. Kyan, L. Guan, and S. Liss Dynamic feature fusion in the self organising Tree map - applied to the segmentation of biofilm images Proceedings of the International Joint Conference on Neural Networks. July 31-August 4, 2005, Montreal, Canada 2005
9. S.N. Liss Microbial flocs suspended biofilms G. Sutton Encyclopedia of environ. microbiology 2002 Wiley New York 2000 2012
10. N. Otsu A threshold selection method from gray-level histograms IEEE Transactions On Systems Man and Cybernetics 9 1 1979 62 66
11. R.J. Palmer, and C. Sternberg Modern microscopy in biofilm research: confocal microscopy and other approaches Current Opinion in Biotechnology 10 3 1999 263 268
12. J. Randall, L. Guan, X. Zhang, and W. Li Investigations of the self-organising tree map Proceedings of ICONIP' 99 1999 pp. 724-728
13. T.W. Ridler, and S. Calvard Picture thresholding using an iterative selection method IEEE Transactions On Systems, Man and Cybernetics SMC-8 1978 630 632
14. C.W. Therrien Decision estimation and classification - An introduction to pattern recognition and related topics 1989 Wiley New York pp. 215-227
15. .C. Tolle Suboptimal minimum cluster volume cover-based method for measuring fractal dimension IEEE Transactions On Pattern Analysis and Machine Intelligence 25 1 2003 32 41
16. M.H.F. Wilkinson Automated and manual segmentation techniques in image analysis of microbes M.H.F. Wilkinson F. Schut Imaging, morphometry, fluorometry and motility techniques and applications 1998 Wiley New York
17. X. Yang, H. Beyenal, G. Harkin, and Z. Lewandowski Evaluation of biofilm image thresholding methods Water Research 35 5 2001 1149 1158