A noise robust statistical texture model

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

Volumn 2489, Issue , 2002, Pages 444-451

  Hilger, Klaus B ^a   Stegmann, Mikkel B ^a   Larsen, Rasmus ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; MEDICAL IMAGING; SIGNAL TO NOISE RATIO; TEXTURES;

ACTIVE APPEARANCE MODELS; LEFT CARDIAC VENTRICLES; LOW-DIMENSIONAL REPRESENTATION; PIXEL INTENSITIES; PROCRUSTES ANALYSIS; TEXTURE MODELING; TRAINING DATA; TRAINING SETS;

BIOMEDICAL SIGNAL PROCESSING;

EID: 33745152251     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45787-9_56     Document Type: Conference Paper

References (16)

1. Edwards, G., Taylor, C.J., Cootes, T.F.: Interpreting face images using active appearance models. In: Proc. 3rd IEEE Int. Conf. on Automatic Face and Gesture Recognition, IEEE Comput. Soc (1998) 300–5
2. Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active appearance models. In: Proc. European Conf. on Computer Vision. Volume 2., Springer (1998) 484–498
3. Mitchell, S., Lelieveldt, B., van der Geest, R., Bosch, H., Reiver, J., Sonka, M.: Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac mr images. Medical Imaging, IEEE Transactions on 20 (2001) 415–423
4. Stegmann, M.B., Fisker, R., Ersbøll, B.K.: Extending and applying active appearance models for automated, high precision segmentation. In: Proc. 12th Scandinavian Conf. on Image Analysis. Volume 1. (2001) 90–97
5. Larsen, R., Eiriksson, H., Stegmann, M.B.: Q-MAF shape decomposition. In: Medical Image Computing and Computer-Assisted Intervention-MICCAI 2001, 4th International Conference, Utrecht, The Netherlands. Volume 2208 of Lecture Notes in Computer Science., Springer (2001) 837–844
6. Bosch, H., Mitchell, S., Lelieveldt, B., Nijland, F., Kamp, O., Sonka, M., Reiber, J.: Active appearance-motion models for endocardial contour detection in time sequences of echocardiograms. Proceedings of SPIE 4322 (2001) 257–268
7. Jones, M., Poggio, T.: Multidimensional morphable models: a framework for representing and matching object classes. International Journal of Computer Vision 29 (1998) 107–31
8. Green, A.A., Berman, M., Switzer, P., Craig, M.D.: Transformation for ordering multispectral data in terms of image quality with implications for noise removal. IEEE Transactions on Geoscience and Remote Sensing 26 (1988) 65–74
9. Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J.: Active shape models–their training and application. Comp. Vision and Image Understanding 61 (1995) 38–59
10. Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active appearance models. IEEE Trans. on Pattern Recognition and Machine Intelligence 23 (2001) 681–685
11. Cootes, T.F., Taylor, C.J.: Statistical Models of Appearance for Computer Vision. Tech. Report. Oct 2001, University of Manchester (2001)
12. Switzer, P., Green, A.A.: Min/max autocorrelation factors for multivariate spatial imagery. Technical Report 6, Dept. of statistics, Stanford University (1984)
13. Olsen, S.I.: Estimation of noise in images: An evaluation. Graphical Models and Image Processing 55 (1993) 319–323
14. Molgedey, L., Schuster, H.G.: Separation of a mixture of independent signals using time delayed correlations (1994)
15. Nielsen, A.A.: Analysis of Regularly and Irregularly Sampled Spatial, Multivariate, and Multi-temporal Data. PhD thesis, Department of Mathematical Modelling, Technical University of Denmark, Lyngby (1994)
16. Hilger, K.B.: Exploratory Analysis of Multivariate Data, Unsupervised Image Segmentation and Data Driven Linear and Nonlinear Decomposition. PhD thesis, Informatics and Mathematical Modelling, Technical University of Denmark, Kgs. Lyngby (2001) 186 pp.