Voxel-wise gray scale invariants for simultaneous segmentation and classification

Lecture Notes in Computer Science

Volumn 3663, Issue , 2005, Pages 85-92

  Ronneberger, Olaf ^a   Fehr, Janis ^a   Burkhardt, Hans ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANISOTROPY; BIOMEDICAL ENGINEERING; CLASSIFICATION (OF INFORMATION); FUNCTION EVALUATION; MEDICAL APPLICATIONS; MORPHOLOGY; PATTERN RECOGNITION SYSTEMS; PROBLEM SOLVING;

CONFOCAL LASER SCANNING MICROSCOPY; NONLINEAR KERNEL FUNCTIONS; OBJECT SEGMENTATION; SUPPORT VECTOR MACHINES;

IMAGE SEGMENTATION;

EID: 27244434662     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11550518_11     Document Type: Conference Paper

References (6)

1. Fehr, J., Ronneberger, O., Kurz, H., Burkhardt, H.: Self-learning segmentation and classification of cell-nuclei in 3d volumetric data using voxel-wise gray scale invariants. In Kropatsch, W., Sablating, R., eds.: Pattern Recognition - Proc. of the 27th DAGM Symposium, Vienna, Austria, Springer, Berlin (2005)
2. Ronneberger, O., Fehr, J., Burkhardt, H.: Voxel-wise gray scale invariants for simultaneous segmentation and classification - theory and application to cell-nuclei in 3d volumetric data. Internal report 2/05, IIF-LMB, University Freiburg (2005)
3. Schulz-Mirbach, H.: Invariant features for gray scale images. In Sagerer, G., Posch, S., Kummert, F., eds.: 17. DAGM - Symposium " Mustererkennung", Bielefeld, Reihe Informatik aktuell, Springer (1995) 1-14
4. Burkhardt, H., Siggelkow, S.: Invariant features in pattern recognition - fundamentals and applications. In Kotropoulos, C., Pitas, I., eds.: Nonlinear Model-Based Image/Video Processing and Analysis, John Wiley & Sons (2001) 269-307
5. Ronneberger, O., Burkhardt, H., Schultz, E.: General-purpose Object Recognition in 3D Volume Data Sets using Gray-Scale Invariants - Classification of Airborne Pollen-Grains Recorded with a Confocal Laser Scanning Microscope. In: Proceedings of the International Conference on Pattern Recognition, Quebec, Canada (2002)
6. Vapnik, V.N.: The nature of statistical learning theory. Springer (1995)