Rapid detection and classification of bacterial contamination using grid computing

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

Volumn , Issue , 2007, Pages 286-293

  Ahmed, Wamiq M ^a   Bayraktar, Bulent ^a   Bhunia, Arun K ^a   Hirleman, E Dan ^a   Robinson, J Paul ^a,b   Rajwa, Bartek ^a  

^a PURDUE UNIVERSITY   (United States)

^b PURDUE UNIVERSITY   (United States)

Author keywords

Bacterial contamination; Classification; Feature extraction; Grid computing

Indexed keywords

BACTERIOLOGY; BIOINFORMATICS; CHEBYSHEV APPROXIMATION; CLASSIFIERS; COMPUTER AIDED DIAGNOSIS; CONTAMINATION; DATA DESCRIPTION; DISCRIMINANT ANALYSIS; FACE RECOGNITION; FOOD PRODUCTS; GRID COMPUTING; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE RETRIEVAL; LASERS; LEARNING SYSTEMS; PIPELINE PROCESSING SYSTEMS; PIPELINES; POLLUTION DETECTION; SUPPORT VECTOR MACHINES; VECTORS;

ANALYSIS TECHNIQUES; AUTOMATED IDENTIFICATIONS; BACTERIAL COLONIES; BACTERIAL CONTAMINATION; BACTERIAL PATHOGENS; CHEBYSHEV MOMENTS; CLASSIFICATION; COMPUTATIONAL COSTS; COMPUTATIONAL GRID TECHNOLOGIES; COMPUTATIONAL GRIDS; DISEASE OUTBREAKS; ECONOMIC SOLUTIONS; FEATURE EXTRACTION ALGORITHMS; FEATURE VECTORS; HARALICK FEATURES; HIGH COSTS; LINEAR DISCRIMINANT ANALYSIS; MACHINE LEARNINGS; PROCESSING INDUSTRIES; PRODUCT RECALLS; PROMISING TECHNIQUES; PUBLIC HEALTHS; RAPID DETECTIONS; RED LASER LIGHTS; SPEED-UPS; SUPPORT VECTOR MACHINE CLASSIFIERS; TRAINING IMAGES; ZERNIKE MOMENTS;

FEATURE EXTRACTION;

EID: 47649083572     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2007.4375578     Document Type: Conference Paper

References (23)

1. G. Corkidi, R. Diaz-Uribe, J. L. Folch-Mallol, J. Nieto-Sotelo, "COVASIAM: an image analysis method that allows detection of confluent microbial colonies and colonies of vaiour sizes for automated counting," Appl Environ Microbiol, 64(4):1400-1404.
2. I. G. Wilson, "Use of the IUL countermat automatic colony counter for spiral plated total viable counts," Appl. Environ Microbiol, 61(8):3158-3160, 1995.
3. B. Bayraktar, P.P. Banada, E. D. Hirleman, A. K. Bhunia, J. P. Robinson, B. Rajwa, "Feature extraction from light-scatter patterns of Listeria colonies for identification and classification," J Biomed Opt, 11(3):34006, 2006.
4. Banada PP, Guo S, Bayraktar B, Bae E, Rajwa B, Robinson JP, Hirleman ED, Bhunia AK. Optical forward-scattering for detection of Listeria monocytogenes and other Listeria species. Biosens Bioelectron. 2007 Mar 15;22(8):1664-71.
5. I. Foster, C. Kesselman, "The Grid: Blueprint for a new computing infrastructure," Morgan Kaufmann Publishers, San Francisco, California, 1999.
6. I. Foster, C. Kesselman, "Globus: A metacomputing infrastructure toolkit," International Journal of Supercomputing Applications, 11(2):115-128, 1997.
7. Condor project homepage, http://www.cs.wisc.edu/condor.
8. N. Jacq, C. Blanchet, C. Combet, E. Cornillot, L. Duret, K. Kurata, H. Nakamura, T. Silvestre, V. Breton, "Grid as a bioinformatic tool," Parallel Computing, 30:1093-1107, 2004.
9. A. natrajan, M. Crowley, N. Wilkins-Diehr, M. A. Humphrey, A. D. Fox, A. S. Grimshaw, C. L. Brooks III, "Studying protein folding on the grid: experiences using CHARMM on NPACI resources under legion," 10th IEEE International Symposium on High Performance Distributed Computing, pp. 14-21, 2001.
10. W. E. Johnston, "Computational and data grids in large-scale science and engineering," Future Generation Computer Systems 18, pp. 1085-1100, 2002.
11. A. YarKhan, J. J. Dongarra, "Biological sequence alignment on the computational grid using the GrADS framework," Future Generation Computer Systems 21, 980-986, 2005
12. Hu, M. Visual-Pattern Recognition by Moment Invariants. IRE Transactions on Information Theory 8, 179-& (1962).
13. A. Kotanzad, Y. H. Hong, "Invariant image recognition by Zernike moments," IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(5):489-497, 1990.
14. R. Mukundan, S. H. Ong, P. A. Lee, "Image analysis by Tchebichef moments," IEEE Transactions on Image Processing, 10(9):1357-1364, 2001.
15. R. Mukundan, "A new class of rotational invariants using discrete orthogonal moments," in 6th IASTED Conference on Signal and Image Processing, pp. 80-84, 2004.
16. R. M. Haralick, K. Shanmuga, I. Dinstein, "Textural features for image classification," IEEE Trans Sys Man Cybern, 3(6):610-621, 1973.
17. Haralick, R. M. and Shapiro, L. G. Computer and Robot Vision. Vol. I. Addison-Wesley Publishing Company. 1992.
18. A. Blum, P. Langley, "Selection of relevant feature and examples in machine learing," Artificial Intelligence, 97, 245-271.
19. I. Guyon, A. Elisseeff, "An introduction to variable and feature selection," Journal of Machine Learning Research 3 (2003) 1157-1182.
20. R. Kohavi, G. John, "Wrappers for feature selection," Artificial Intelligence, 97(1-2):273-324, December 1997.
21. R. A. Fisher, "The use of multiple measurement in taxonomic problems," Annals of Eugenics, Vol. 7, part II, pp. 179-188, 1936.
22. A. K. Jain, R. P. W. Duin, Jianchang Mao, "Statistical pattern recognition: a review," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No. 1, January 2000.
23. C. Cortes, V. Vapnik, "Support vector networks," Mach Learning, 20(3):273-293, 1995.