Texture-adaptive active contour models

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

Volumn 2013, Issue , 2001, Pages 387-396

  Lehmann, Thomas ^a   Bredno, Jörg ^a   Spitzer, Klaus ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

Active contours; Balloon model; Parameterization; Texture analysis; Unsupervised segmentation

Indexed keywords

BALLOONS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; OBJECT DETECTION; PARAMETERIZATION; PATTERN RECOGNITION; ULTRASONIC APPLICATIONS;

ACTIVE CONTOUR MODEL; ACTIVE CONTOURS; BALLOON MODELS; CO-OCCURRENCE-MATRIX; LINEAR COMBINATIONS; SIMILARITY MEASURE; TEXTURE ANALYSIS; UNSUPERVISED SEGMENTATION;

IMAGE SEGMENTATION;

EID: 0012570268     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (13)

1. Duncan JS, Ayache N. Medical Image Analysis: Progress over Two Decades and the Challenges Ahead. IEEE PAMI 2000; 22(1): 85-106
2. Mcinerney T, Terzopoulos D. Deformable models in medical image analysis: A survey. Medical Image Analysis 1996; 1: 91-108
3. Bredno J, Lehmann T, Spitzer K. A general finite element model for segmentation in 2, 3, and 4 dimensions. Proc. SPIE 2000; 3979: 1174-1184
4. Cohen LD, Cohen I. Finite-element methods for active contour models and balloons for 2-D and 3-D images. IEEE PAMI 1993; 15(11): 1131-1147
5. Kass M, Witkin A, Terzopoulos D. Snakes: Active contour models. International Journal of Computer Vision 1988; 1(4): 321-331
6. Bredno J, Lehmann T, Spitzer K: Automatic parameter setting for balloon models. Proc. SPIE 2000; 3979: 1185-1208
7. Haralick R, Shanmugam K, Dinstein I. Texture features for image classification. IEEE SMC 1973; 3: 610-621
8. Gotlieb C, Kreyszig H. Texture descriptors based on cooccurrence matrices. Computer Vision, Graphics and Image Processing 1990; 51: 70-86
9. Walker R, Jackway P, Longstaff I: Recent developments in the use of the cooccurrence matrix for texture recognition. In: Digital Signal Processing 1997, 63-65 (Proc. 13th International Conference Santorini, Greece)
10. Lehmann T, Gönner C, Spitzer K. Survey: Interpolation methods in medical image processing. IEEE MI 1999; 18(11): 1049-1075
11. Haken H. Synergetic Computers and Cognition. Springer Berlin Heidelberg New York, 1991
12. Palm C, Lehmann T, Spitzer K. Color texture analysis of vocal folds using approaches from statistics and signal theory. In: Braunschweig T, Hanson J, Schelhorn-Neise P, Witte H (eds) Advances in objective laryngoscopy, voice and speech research. 2000, 49-56 (Proc. 4th International Workshop, Jena, Friedrich-Schiller-University)
13. Lehmann T, Wein B, Dahmen J, Bredno J, Vogelsang F, Kohnen M. Contentbased image retrieval in medical applications - a novel multi-step approach. Proc. SPIE 2000; 3972: 312-320