Adaptive feature selection for classification of microscope images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3849 LNAI, Issue , 2006, Pages 215-222

  Tautenhahn, Ralf ^a   Ihlow, Alexander ^b   Seiffert, Udo ^b  

^a LEIBNIZ INSTITUTE OF PLANT BIOCHEMISTRY   (Germany)

^b LEIBNIZ INSTITUTE OF PLANT GENETICS AND CROP PLANT RESEARCH IPK   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

FUNGI; IMAGE ANALYSIS; PLANT CELL CULTURE; VECTORS;

ADAPTIVE FEATURE SELECTION; FISHER DISCRIMINANT RATIO; RECURSIVE FEATURE ELIMINATION;

ADAPTIVE SYSTEMS;

EID: 33745165873     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11676935_26     Document Type: Conference Paper

References (20)

1. Ewert Bengtsson. Computerized cell image analysis: Past, present, and future. In SCIA, pages 395-407, 2003.
2. Thomas M. Cover and Joy A. Thomas. Elements of Information Theory. Wiley, New York, 1991.
3. Luciano da Fontoura Costa and Roberto Marcondes Cesar Jr. Shape Analysis and Classification. CRC Press, 2001.
4. J. Duchene and S. Leclercq. An optimal transformation for discriminant and principal component analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 10(6):978-983, 1988.
5. Rafael C. Gonzalez and Richard E. Woods. Digital Image Processing. Addison-Wesley, Reading, Massachusetts, 1993.
6. Gösta H. Granlund. Fourier preprocessing for hand print character recognition. IEEE Transactions on Computers, C-21(3):195-201, March 1972.
7. Isabelle Guyon, Jason Weston, Stephen Barnhill, and Vladimir Vapnik. Gene selection for cancer classification using support vector machines. Machine Learning, 46(1-3):389-422, 2002.
8. Ming-Kuei Hu. Visual pattern recognition by moment invariants. IRE Transactions on Information Theory, 8(2):179-187, February 1962.
9. Alexander Ihlow and Udo Seiffert. Microscope color image segmentation for resistance analysis of barley cells against powdery mildew. In 9. Workshop "Farb-bildverarbeitung", ZBS Zentrum für Bild- und Signalverarbeitung e.V. Ilmenau, Report Nr. 3/2003, pages 59-66, Ostfildern-Nellingen, Germany, October 2003.
10. Alexander Ihlow and Udo Seiffert. Automating microscope colour image analysis using the Expectation Maximisation algorithm. In Pattern Recognition: 26th DAGM Symposium, pages 536-543, Tubingen, Germany, September 2004. Springer.
11. Alexander Ihlow and Udo Seiffert. Haustoria segmentation in microscope images of barley cells. In 10. Workshop 'Farbbildverarbeitung', pages 119-126, Koblenz, October 2004. Der andere Verlag.
12. Farzin Mokhtarian and Alan Mackworth. Scale-based description and recognition of planar curves and two-dimensional shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 8(1):34-43, January 1986.
13. Claude Nadeau and Yoshua Bengio. Inference for the generalization error, 2000. Advances in Neural Information Processing Systems 12, MIT Press.
14. Patrick Schweizer, Jana Pokorny, Olaf Abderhalden, and Robert Dudler. A transient assay system for the functional assessment of defense-related genes in wheat. Molecular Plant-Microbe Interactions, 12(8):647-654, 1999.
15. W. Nick Street, William H. Wolberg, and Olvi L. Mangasarian. Nuclear feature extraction for breast tumor diagnosis. Biomedical Image Processing and Biomedical Visualization, 1905:861-870, 1993.
16. Xiaoou Tang, W. Kenneth Stewart, Luc Vincent, He Huang, Marty Marra, Scott M. Gallager, and Cabell S. Davis. Automatic plankton image recognition. Artificial Intelligence Review, 12(1-3):177-199, February 1998.
17. Sergios Theodordis and Konstantinos Koutroumbas. Pattern Recognition. Elsevier Academic Press, San Diego, 2003.
18. Jean-Philippe Thiran and Benoît M. Macq. Morphological feature extraction for the classification of digital images of cancerous tissues. IEEE Transactions on Biomedical Engineering, 43(10):1011-1020, October 1996.
19. Jason Weston, Andre Elisseeff, Gökhan BakIr, and Fabian Sinz. The SPIDER: object-orientated machine learning library, http://www.kyb.tuebingen. mpg.de/bs/people/spider/index.html.
20. William H. Wolberg, W. Nick Street, and Olvi L. Mangasarian. Breast cytology diagnosis via digital image analysis. Analytical and Quantitative Cytology and Histology, 15(6):396-404, 1993.