Randomized hough transform for ellipse detection with result clustering

EUROCON 2005 - The International Conference on Computer as a Tool

Volumn II, Issue , 2005, Pages 1397-1400

  Başca, Cosmin A ^b   Takş, Mihai ^b   Brad, Remus ^a,b  

^a IEEE   (Romania)

^b LUCIAN BLAGA UNIVERSITY OF SIBIU   (Romania)

Author keywords

Adaptive threshold; Clustering; Ellipse detection; Hough transform

Indexed keywords

BINARY IMAGES; COMPUTER VISION; HOUGH TRANSFORMS; INTELLIGENT ROBOTS; PATTERN RECOGNITION; RANDOM PROCESSES;

ADAPTIVE THRESHOLD; ELLIPSE DETECTION; ROBOTIC SYSTEMS; VISION ALGORITHMS;

DATA HANDLING;

EID: 33947314981     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/eurcon.2005.1630222     Document Type: Conference Paper

References (15)

1. D. Ballard, "Generalizing the Hough transform to detect arbitrary shapes," Pattern Recognition, vol. 13, no. 2, pp. 111-22, 1981.
2. R. Chellali, V. Fremont, P. J. Czervinski, "Ellipse Detection Using Hough Transform", Warsaw University of Technology, Ecole des Mines des Nantes, 2003.
3. R. Duda and P. Hart, "Use of the Hough transform to detect lines and curves in pictures," Communications of the ACM, vol. 15, no. 1, pp.11-15, 1972.
4. E. R. Davies, Machine Vision: Theory, Algorithms, Practicalities. New York: Academic Press, 1990.
5. A. Rosenfeld, Picture Processing by Computer. New York: Academic Press, 1969.
6. S. D. Shapiro, "Transformations for the noisy computer detection of curves in noisy pictures," Computer Graphics and Image Processing, vol. 4, pp. 328-338, 1975.
7. S. D. Shapiro, "Properties of transforms for the detection of curves in noisy image, "Computer Graphics and Image Processing, vol. 8, pp. 219-236, 1978.
8. S. D. Shapiro, "Feature space transforms for curve detection," Pattern Recognition,vol. 10, pp. 129-143, 1978.
9. P. K. Sahoo, S. Soltani, A. C. Wong, and Y. C. Chen, "A survey of thresholding techniques," Computer Vision, Graphics, and Image Processing, vol. 41, pp. 233-260, 1988.
10. J. Kittler, J. Illingworth, and J. Foglein, "Threshold selection based onasimpleimage statistic,"Computer Vision, Graphics, and Image Processing, vol. 30, pp. 125-147, 1985.
11. S. U. Lee, S. Y. Chung, and R. H. Park, "A comparative performance study of several global thresholding techniques for segmentation, "Computer Vision, Graphics, and Image Processing, vol. 52, pp. 171-190, 1990.
12. I. Sobel, Camera Models and Machine Perception. PhD thesis, Stanford University, Stanford, CA, 1970.
13. R. Duda and P. Hart, Pattern Classification and Scene Analysis. New York, NY: John Wiley & Sons, 1973.
14. W. Pratt, Digital Image Processing. New York: John Wiley, 1978.
15. G. Ritter, J. Wilson, and J. Davidson, "Image algebra: An overview,"Computer Vision, Graphics, and Image Processing, vol. 49, pp. 297-331, Mar. 1990