A generalized Hough transform template and its applications in computer vision

Journal of Computational Information Systems

Volumn 1, Issue 3, 2005, Pages 601-607

  Zhu, Tonglin ^a   Fang, Suqin ^a   Li, Zhiyuan ^a   Yan, Xiaolong ^a  

^a SOUTH CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

3D reconstruction; Computer vision; Generalized Hough transform; Plant roots

Indexed keywords

HOUGH TRANSFORMS; IMAGE RECONSTRUCTION; MATHEMATICAL TRANSFORMATIONS; ROBUSTNESS (CONTROL SYSTEMS); THREE DIMENSIONAL;

ALGORITHM TEMPLATE; COORDINATE SYSTEM; GENERALIZED HOUGH TRANSFORM; PLANT ROOTS TREATMENT; THINNING ALGORITHM; THREE DIMENSIONAL RECONSTRUCTION; VOTING STRATEGY;

COMPUTER VISION;

EID: 33746552680     PISSN: 15539105     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. P. V. C. Hough. Hough. Methods and means forrecognizing complex patterns. U.S. patent, 3069654, 1962.
2. J. Illingworth, J. Kittler. A survey of the Hough transform. CVGIP: Image Understanding, Vol.44(1), pp87-116, 1988.
3. V. F. Leaver. Which Hough Transform? CVGIP: Image Understanding, Vol. 58(2), pp 250-264, 1993.
4. P. K. Ser, W. C. Siu. A new generalized Hough transform for the detection of irregular objects. Journal of Visual Communication and Image Representation, Vol.6(2), pp256-264, 1995.
5. A. L. Kesidis and N. Papamarkos. On the inverse Hough Transform. IEEE Trans PAMI, Vol.21(12), pp1329-1343, 1999.
6. F. R. Sun and J. R. Liu. Fast Hough transform Algorithm. Chinese J. Computers, Vol.24(10), pp1102-1109, 2001 (in Chinese).
7. H. Kalviainen, P. Hirvonen, L. Xu, E. Oja. Probabilistic and non-probabilistic Hough Transform: overview and comparisons. Image and Vision Computing, Vol.13(4), pp239-252 , 1995.
8. Q. Ji, Y. Xie. Randomized Hough transform with error propagation for line and circle detection. Pattern Anal Applic, Vol.6, pp55-64, 2003.
9. S. A. Alberto, M. Eugenia, S. N. Mark. Invariant characterization of Hough transform for pose Estimation of arbitrary shape. In Proceedings of Proceedings of the British Machine Vision Conference (BMVC2000), pp785-794, 2000.
10. C. F. Olson. Constrained Hough transforms for curve detection. Computer Vision and Image Understanding, Vol.73(3), pp329-345, 1999.
11. S. Mills, T. Pridmore, M. Hills. Tracking in Hough Space with the extended Kalman Filter. In Proceedings of Proceedings of the British Machine Vision Conference (BMVC2003), pp173-182, 2005.
12. S. M. Bhandarkar. A fuzzy probabilistic model for the generalized Hough transform. IEEE Trans on Systems Man and Cybernetics, Vol.24, pp745-759, 1994.
13. H. Liao, Z. Y. Ge, X. L. Yan. Ideal root architecture for phosphorus acquisition of plants under water and phosphorus coupled stresses: from simulation to application. Chinese Science Bulletin, Vol.46(16), pp1346-1351, 2001.
14. K. N. Kutulakos, S. M. Seitz. A theory of shape by space carving. International Journal of Computer Vision, Vol.38(3), pp199-218, 2000.
15. S.Seitz, C.Dyer. Complete Scene Structure from four point correspondences. Proceedings of the IEEE International Conference on Computer Vision (ICCV1995), pp330-337, 1995.
16. K. Palagyi, A. Kuba. A 3D 6-subiteration thinning algorithm for extracting medial lines. Pattern Recognition Letters, Vol.19, pp613-627, 1999.
17. C. Pudney. Note Distance-Ordered homotopic Thinning: A skelettonization algorithm for 3D digital image. Computer Vision and Image Vol.72(3), pp404-413, 1998.