Shape matching in multimodal medical images using point landmarks with Hopfield net

Neurocomputing

Volumn 30, Issue 1-4, 2000, Pages 103-116

  Banerjee, S ^a   Majumdar, D Dutta ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Hopfield net; Optimization; Point landmarks; Shape matching

Indexed keywords

IMAGE ANALYSIS; IMAGE SENSORS; MEDICAL IMAGING; OPTIMIZATION; PATTERN MATCHING;

HOPFIELD NEURAL NETWORKS; MULTIMODAL MEDICAL IMAGES; POINT LANDMARKS;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN; DIAGNOSTIC IMAGING; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MATHEMATICAL PARAMETERS; PRIORITY JOURNAL; SPATIAL DISCRIMINATION;

EID: 0344182450     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(99)00119-8     Document Type: Article

References (15)

1. D.H. Ballard, C.M. Brown, Computer Vision, Prentice-Hall, Englewood Cliffs, NJ, 1982, p. 131.
2. Banerjee S., Mukherjee D.P., Dutta Majumdar D. Point landmarks for the matching of CT and MR images. Pattern Recognition Lett. 16:1995;1033-1042.
3. Basak J., Chaudhury S., Pal S.K., Dutta Majumdar D. Matching of structural shape descriptions with Hopfield net. Int. J. Pattern Recognition Artificial Intelligence. 7:1993;377-404.
4. Borgefors G., Sanniti di Baja G. Analyzing convex 2D and 3D patterns. Computer Vision and Image Understanding. 63:1996;145-157.
5. Borgefors G. Distance transformations in digital images. Comput. Vision, Graphics and Image Process. 34:1986;344-371.
6. Borgefors G. Hierarchichal chamfer matching: a parametric edge matching algorithm. IEEE Trans. Pattern Anal. Mach. Intelligence. 10:1988;849-865.
7. Canny J. A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intelligence. 8:1986;679-698.
8. Hopfield J. Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. USA. 79:1982;2554-2558.
9. Hopfield J. Neurons with graded response have collective computational properties like those of two state neurons. Proc. Natl. Acad. Sci. USA. 81:1984;3088-3092.
10. Hopfield J.J., Tank D.W. Neural computation of decisions in optimization problems. Biol. Cybernet. 52:1985;141-152.
11. W. Li, M. Nasrabadi, Object recognition based on graph matching implemented by a Hopfield style network, Proceedings of the International Joint Conference on Neural Networks II, Washington, DC, 1989.
12. Lippman R.P. An introduction to computing with neural nets. IEEE Accoust. Speech Signal Process. 61:1987;4-22.
13. F.P. Preparata, M.I. Shamos, Computational Geometry: An Introduction, Springer, New York, 1985 (Chapter 3).
14. Shapiro L.M., Haralick R.M. Organization of relational models for scene analysis. IEEE Trans. Pattern Anal. Mach. Intelligence. 4:1982;575-602.
15. Shapiro L.M., Moriarty P.G., Haralick R.M., Mulgaonkar P.G. Matching three dimensional objects using a relational approach. Pattern Recognition. 17:1984;385-405.