Tracing crease curves by solving a system of differential equations

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

Volumn 1064, Issue , 1996, Pages 241-250

  López, Antonio M ^a   Serrat, Joan ^a  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

Creaseness; Differential equation; Ridge; Slopelines; Valley

Indexed keywords

DIFFERENTIAL EQUATIONS; PIXELS;

CONTINUOUS SURFACE; CREASENESS; RIDGE; SLOPELINES; SYSTEM OF DIFFERENTIAL EQUATIONS; UNDERLYING SURFACE; VALLEY; VISION COMMUNITIES;

COMPUTER VISION;

EID: 84957546190     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0015540     Document Type: Conference Paper

References (15)

1. D. Eberly, R. Gardner, B. Morse, S. Pizer, C. Scharlach. Ridges for Image Analysis. Journal of Mathematical Imaging and Vision, 4, N. 4, p. 353-373, 1994
2. P. A. Van den Elsen, J. B. A. Maintz, E. D. Pol, M. A. Viergever. Automatic Registration of CT and MR Brain Images Using Correlation of Geometrical Features. IEEE Trans. on Medical Imaging, 14, N. 2, p. 384-396, June 1995.
3. J. M. Gauch, S. M. Pizer. Multiresolution analysis of ridges and valleys in greyscale image. IEEE Trans. on Pattern Analysis and Machine Intelligence, 15, N. 6, p. 635-646, June 1993.
4. G. G. Gordon. Face Recognition based on Maps and Surface Curvat
5. ure. In SPIE 1570 Geometric Methods in Computer Vision, p. 234-247, 1991.
6. L. D. Griffin, A. C. F. Colchester, G. P. Robinson. Scale and Segmentation of Grey- Level Images using Maximum Gradient Paths. In Information Processing in Medical Imaging (IPMI), p. 256-272, July 1991. Lecture Notes in Computer Science, 511, Springer-Verlag.
7. R. M. Haralik, L. G. Shapiro. Computer and Robot Vision (1). Addison-Wesley, 1992.
8. I. S. Kweon, T. Kanade. Extracting Topographic Terrain Features from Elevation Maps. CVGIP-Image Understanding, 59, N. 2, p. 171-182, March 1994.
9. J. J. Koenderink, A. J. van Doom. Local Features of smooth Shapes: Ridges and Courses. In SPIE 2031 Geometric Methods in Computer Vision II, p. 2-13, 1993.
10. A. M. Lopez, J. Serrat. Image Analysis Through Surface Geometric Descriptors. In Proceedings of the VI Spanish Symposium on Pattern Recognition and Image Analysis, p. 35-42, April 1995.
11. W. H. Press, S. A. Teukolsky, W. T. Vetterling, B. P. Flannery. Numerical Recipes in C, 2nd Edition Cambridge University Press, 1992.
12. S. Panikanti, C. Dotal, A. K. Jain. Robust feature detection for 3D object recognition and matching. In SHE 2031 Geometric Methods in Compuetr Vision, p. 366-377, 1993.
13. R. Rothe. Zum Problem des Talwegs. Sitzungsber. Berliner Math. Gesellschaft, 14, p. 51-69, 1915.
14. J. P. Thirion, A. Gourdon. Computing the Differential Characteristics of Isointensity Surfaces. CVGIP-Image Understanding, 61, N. 2, p. 190-202, March 1995.
15. L. Vincent, P. Soille. Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations. IEEE Trans. on Pattern Analysis and Machine Intelligence, 13, N. 6, p. 583-598, June 1991.