Automatic graph extraction from color images

Proceedings - 11th International Conference on Image Analysis and Processing, ICIAP 2001

Volumn , Issue , 2001, Pages 302-308

  Lourens, T ^a   Okuno, H G ^a   Kitano, H ^a  

^a JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DETECTORS; EXTRACTION; IMAGE ANALYSIS;

CLOSED CONTOURS; CONSTANT THRESHOLD; CONTOUR DETECTION; CONTOUR EXTRACTION; CONTOUR FOLLOWING; GRAPH EXTRACTIONS; LOCAL MAXIMUM; SYMBOLIC REPRESENTATION;

EDGE DETECTION;

EID: 0347345737     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIAP.2001.957026     Document Type: Conference Paper

References (17)

1. D. H. Ballard and C. M. Brown. Computer Vision. Prentence-Hall Inc., 1982.
2. J. Canny. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(9):679-698, November 1986.
3. C. Dillon and T. Caelli. Learning image annotations: The CITE system. Vtdere: Journal of Computer Vision Research, 1(2):90-121, Winter 1998.
4. J. H. Elder and S. W. Zucker. Local scale control for edge detection and blur estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(7):699-716, July 1998.
5. M. A. Eshera and K.-S. Fu. An image understanding system using attributed symbolic representation and inexact graph-matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(5):604-618, September 1986.
6. O. Faugeras. Three-Dimensional Computer Vision: A Geometric Viewpoint. The MIT Press, Cambridge, Massachusetts; London, England, 1993.
7. R. M. Haralick and L. G. Shapiro. Computer and Robot Vision. Addison-Wesley, 1992.
8. F. Heitger, L. Rosenthaler, R. von der Heydt, E. Peter-hans, and O. Kiibler. Simulation of neural contour mechanisms: from simple to end-stopped cells. Vision Research, 32(5):963-981, 1992.
9. D. H. Hubel. Eye, Brain, and Vision. Scientific American Library, New York, 1988.
10. R. Jarvis. Data Segmentation and Model Selection for Computer Vision-A Statistical Approach, chapter 1. 2D and 3D Scene Segmentation for Robotic Vision. Springer-Verlag, 2000.
11. T. Lourens. A Biologically Plausible Model for Corner-based Object Recognition from Color Images. Shaker Publishing B.V., Maastricht, The Netherlands, March 1998.
12. T. Lourens, K. Nakadai, H. G. Okuno, and H. Kitano. Selective attention by integration of vision and audition. In Proceedings of the First IEEE-RAS International Conference on Humanoid Robots, Humanoids2000, pages 20, file: 44.pdf, The Massachusetts Institute of Technology, Boston, U.S.A., September 2000.
13. T. Lourens and R. P. Wtirtz. Object recognition by matching symbolic edge graphs. In R. Chin and T. C. Pong, editors, Proceedings of the Third Asian Conference on Computer Vision, ACCV '98, volume 1352 of Lecture Notes in Computer Science, pages 193-200. Springer-Verlag, January 1998.
14. B. T. Messmer and H. Bunke. A new algorithm for error-tolerant subgraph isomorphism detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(5):493-504, 1998.
15. F. Mokhtarian and R. Suomela. Robust image corner detection through curvature scale space. IEEE Transaction on Pattern Analysis and Machine Intelligence, 20(12): 13761381, December 1998.
16. S. M. Smith and J. M. Brady. SUSAN-a new approach to low level image processing. Int. Journal of Computer Vision, 23(l):45-78, May 1997.
17. R. P. Wiirtz and T. Lourens. Corner detection in color images through a multiscale combination of end-stopped cortical cells. Image and Vision Computing, 18(6-7):531-541, April 2000.