Comparison of three methods for shape recognition in the case of mine detection

Pattern Recognition Letters

Volumn 20, Issue 11-13, 1999, Pages 1079-1083

  Milisavljević, Nada ^a  

^a ROYAL MILITARY ACADEMY   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

HOUGH TRANSFORMS; IMAGE ANALYSIS; PROBLEM SOLVING; RANDOM PROCESSES;

CHAIN ANALYSIS; MINE DETECTION; SHAPE DETECTION;

OBJECT RECOGNITION;

EID: 0033220795     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(99)00074-4     Document Type: Article

References (12)

1. Alder, M.D., 1994. Inference of syntax for point sets. Pattern Recognition in Practice IV. Elsevier, Amsterdam, pp. 59-73.
2. Dolan, J., Riseman, E., 1992. Computing curvilinear structure by token-based grouping. In: IEEE Conference on Computer Vision and Pattern Recognition, Champaign, IL, pp. 264-270.
3. Duda, R.O., Hart, P.E., 1972. Use of the Hough transform to detect lines and curves in pictures. Comm. Assoc. Comput. Mach. 15 (1), 11-15.
4. Kälviäinen, H., Hirvonen, P., Xu, L., Oja, E., 1994. Comparisons of probabilistic and non-probabilistic Hough transforms. In: Proceedings of the Third European Conference on Computer Vision, Stockholm, Sweden, pp. 351-360.
5. Leavers, V.F., 1992. Shape Detection in Computer Vision Using the Hough Transform. Springer, London.
6. Lim, S.G., Alder, M.D., 1996. A nonparametric approach for detecting lines and curves. In: International Conference on Image Processing, Lausanne, Switzerland, Vol. 1, pp. 837-840.
7. McLaughlin, R.A., 1997. Technical report - Randomized Hough Transform: improved ellipse detection with comparison. Technical report TR97-01, The University of Western Australia, CIIPS.
8. McLaughlin, R.A., Alder, M.D., 1997. Technical report - The Hough transform versus the UpWrite. Technical report TR97-02, The University of Western Australia, CIIPS.
9. Mohan, R., Nevatia, R., 1992. Perceptual organization for scene segmentation and description. IEEE Trans. Pattern Anal. Machine Intell. 14 (6), 616-635.
10. Niemann, H., 1981. Pattern Analysis. Springer Series in Information Sciences, Berlin.
11. Xu, L., 1993. Randomized Hough transform (RHT): basic mechanisms, algorithms, and computational complexities. CVGIP: Image Understanding 57 (2), 131-154.
12. Xu, L., Oja, E., Kultanen, P., 1990. A new curve detection method: Randomized Hough Transform (RHT). Pattern Recognition Letters 11, 331-338.