Contour tracking by enhancing corners and junctions

Computer Vision and Image Understanding

Volumn 63, Issue 1, 1996, Pages 118-134

  Demi, Marcello ^a,b  

^a INSTITUTE OF CLINICAL PHYSIOLOGY   (Italy)

^b Esaote   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER GRAPHICS; EDGE DETECTION; FAILURE ANALYSIS; IMAGE ANALYSIS; IMAGE ENHANCEMENT; SIGNAL FILTERING AND PREDICTION; WHITE NOISE;

ABSOLUTE CENTRAL MOMENT GENERALIZATION; CONTOUR TRACKING; CORNERS ENHANCEMENT; DISCONTINUITIES; DISPERSION INDEX; EDGE MAP; JUNCTIONS ENHANCEMENT; LOCAL MAXIMA; MEAN DEVIATION;

IMAGE PROCESSING;

EID: 0040749906     PISSN: 10773142     EISSN: None     Source Type: Journal    
DOI: 10.1006/cviu.1996.0008     Document Type: Article

References (37)

1. D. Marr, Vision, Freeman, New York, 1982.
2. J. Canny, A computational approach to edge detection, IEEE Trans. Pattern Anal. Machine Intell. PAMI-8, 1986, 679-698.
3. V. Torre and T. A. Poggio, On edge detection, IEEE Trans. Pattern Anal. Machine Intell. PAMI-8, 1986, 147-163.
4. W. F. Bischof and T. Caelli, Parsing scale-space and spatial stability analysis, Comput. Vision Graphic Image Process. 42, 1988, 192-205.
5. D. J. Williams and Mubarak Shah, Edge contours using multiple scales, Comput. Vision Graphic Image Process. 51, 1990, 256-274.
6. Yi Lu and R. C. Jain, Reasoning about edges in scale space, IEEE Trans. Pattern Anal. Machine Intell. PAMI-14, 1992, 450-585.
7. H. Jeong and C. I. Kim, Adaptive determination of filter scales for edge detection, IEEE Trans. Pattern Anal. Machine Intell. PAMI-14, 1992, 579-585.
8. D. H. Ballard and C. M. Brown, Computer Vision, Prentice Hall, New York, 1982.
9. N. Friendland and D. Adam, Automatic ventricular cavity boundary detection from sequential ultrasound images using simulated annealing, IEEE Trans. Med. Imaging MI-8, 1989, 344-353.
10. N. Ueda and K. Mase, Tracking moving contours using energy-minimizing elastic contour models, Lecture notes in computer science: Computer Vision, pp. 453-457, Springer-Verlag, Berlin/New York, 1992.
11. M. Etoh, Y. Shirai, and M. Asada, Contour extraction by mixture density description obtained from region clustering, Lecture notes in computer science: Computer Vision, pp. 24-31. Springer-Verlag, Berlin/New York, 1992.
12. M. Demi, New approach to automatic contour detection from image sequences: an application to ventriculographic images, Comput. Biomed. Res. 27, 1994, 157-177.
13. P. H. Winston, Artificial Intelligence, Addison-Wesley, Reading, MA, 1984.
14. W. K. Pratt, Digital Image Processing, Wiley, New York, 1978.
15. A. Rosenfeld and A. Kak, Digital Picture Processing, Academic Press, New York, 1982.
16. V. Berzins, Accuracy of Laplacian edge detectors, Comput. Vision Graphics Image Process. 27, 1984, 195-201.
17. E. De Micheli, B. Caprile, P. Ottonello, and V. Torre, Localization and noise in edge detection, IEEE Trans. Pattern Anal. Machine Intell. 11, 1989, 1106-1117.
18. M. C. Morrone and R. A. Owens, Feature detection from local energy, Pattern Recognit. Lett. 6, 1987, 303-313.
19. R. Owens, S. Venkatesh, and J. Ross, Edge detection is a projection, Pattern Recognit. Lett. 9, 1989, 233-244.
20. L. Rosenthaler, F. Heitger, O. Kubler, and R. von der Heydt, Detection of General Edge and Keypoints, Lecture notes in computer science: Computer Vision, pp. 78-86. Springer-Verlag, Berlin/New York, 1992.
21. L. Kitchen and A. Rosenfeld, Gray-level corner detection, Pattern Recognit. Lett. 1, 1982, 95-1002.
22. K. Rangarajan, M. Shah, and D. Van Brackle, Optimal corner detector, Comput. Vision Graphic Image Process. 48, 1989, 230-245.
23. K. Rohr, Modelling and identification of characteristic intensity variation, Image Vision Comput. 10, 1992, 66-76.
24. J. A. Noble, Finding half boundary and junctions in images, Image Vision Comput. 10, 1992, 219-232.
25. P. Perona, Steerable-Scalable Kernels for Edge Detection and Junction Analysis, Lecture notes in computer science: Comput. Vision, pp. 3-18. Springer-Verlag, Berlin/New York, 1992.
26. A. Papoulis, Probability, Random Variables, and Stochastic Process, McGraw-Hill, New York, 1965.
27. W. H. Press, B. P. Flannery, S. A. Teukolsky, and W. T. Vetterling, Numerical Recipes, Cambridge Univ. Press, Cambridge, UK, 1991.
28. P. R. Bevington, Data Reduction and Error Analysis for the Physical Sciences, McGraw-Hill, 1969.
29. M. G. Kendall and A. Stuart, The Advanced Theory of Statistics, Griffin and Co., London, 1977.
30. J. A. Noble, Finding corners, Image Vision Comput. 6, 1988, 121-128.
31. A. Singh and M. Shneier, Grey level corner detection: A generalization and a robust real time implementation, Comput. Vision Graphic Image Process. 51, 1990, 54-69.
32. A. Guiducci, Corner characterization by differential geometry techniques, Pattern Recognit. Lett. 8, 1988, 311-318.
33. J. J. Koenderink and A. J. van Doom, Representation of local geometry in the visual system, Biological Cybernetics 55, 1987, 367-375.
34. G. Giraudon and R. Deriche, On corner and vertex detection, in Proceedings, Conference on Computer Vision and Pattern Recognition, 1991, pp. 650-655.
35. M. M. Flek, Some defects in finite-difference edge finders, IEEE Trans. Pattern Anal. Machine Intell. 14, 1992, 337-345.
36. G. Ryzhik, Table of Integrals, Series, and Products, Academic Press, San Diego, 1980.
37. D. H. Hubel, Eye, Brain, and Vision, Freeman, New York, 1988.