Examinations on the automatic classification of lamellar graphite using the support vector machine;Untersuchungen zur automatischen Klassifikation von Lamellengraphit mit Hilfe des Stützvektorverfahrens

Praktische Metallographie/Practical Metallography

Volumn 42, Issue 8, 2005, Pages 396-410

  Roberts, Kathrin ^a   Weikum, Gerhard ^b   Mücklich, Frank ^c  

^a UNIVERSITY OF KARLSRUHE   (Germany)

^b MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

^c SAARLAND UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CAST IRON; GRAPHITE; LAMINAR FLOW; LEARNING SYSTEMS; PARAMETER ESTIMATION; STANDARDS;

AUTOMATIC CLASSIFICATION; CONFIGURATION CLASSES; GRAPHITE STRUCTURE; SUPPORT VECTOR MACHINES;

AUTOMATION;

EID: 24144472510     PISSN: 0032678X     EISSN: None     Source Type: Journal    
DOI: 10.3139/147.100272     Document Type: Article

References (7)

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2. Mücklich, F.; Ohser, J.: Statistical Analysis of Microstructures in Material Science, John Wiley & Sons, LTD, 2000
3. Joachims, T.: Learning to Classify Text Using Support Vector Machines, Dissertation, Universität Dortmund, Februar 2001; Implementierung siehe: http://svmlight.joachims.org
4. Roberts, K.: Automatische Klassifikation von Werkstoffgefügebildern, Diplomarbeit, Universität des Saarlandes, 2003
5. Handels, H.: Medizinische Bildverarbeitung, B.G.Teubner Stuttgart, 2000
6. Conners, R.W.; Harlow, C.A.: A Theoretical Comparision of Texture Algorithms, IEEE Transactions on Pattern Recognition and Machine Intelligence, PAMI2 (3), 202-222, 1980
7. Ohser, J.; Sandau, K.; Stets, W.; Gerber W.: Image Analytical Characterization of Graphite in Grey Cast Iron and Classification of Lamellar Arrangement, Practical Metallography, Volume XL, 2003