Statistical techniques for edge detection in histological images

VISAPP 2006 - Proceedings of the 1st International Conference on Computer Vision Theory and Applications

Volumn 1, Issue , 2006, Pages 457-462

  Svoboda, D ^a   Williams, I A ^b   Bowring, N ^c   Guest, E ^a  

^a MANCHESTER METROPOLITAN UNIVERSITY   (United Kingdom)

^b MASARYK UNIVERSITY   (Czech Republic)

^c LEEDS METROPOLITAN UNIVERSITY   (United Kingdom)

Author keywords

Edge detection; Histological images; Parametric and non parametric tests; Statistical

Indexed keywords

BIOMEDICAL IMAGES; CHI-SQUARE TESTS; EDGE DETECTION FILTERS; EDGE DETECTORS; EDGE INFORMATION; FISHER TEST; GRADIENT BASED; HISTOLOGICAL IMAGES; IMAGE REGIONS; MANN-WHITNEY U TEST; NON-PARAMETRIC STATISTICAL TESTS; NON-PARAMETRIC TEST; PARAMETRIC AND NON-PARAMETRIC TESTS; SMIRNOV TEST; STATISTICAL PROPERTIES; STATISTICAL TECHNIQUES; T-TESTS;

COMPUTER VISION; DETECTORS; EDGE DETECTION; IMAGE RETRIEVAL; STATISTICS;

STATISTICAL TESTS;

EID: 43249094448     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Beauchemin, M., Thomson, K. P. B., and Edwards, G. (1998). On nonparametric edge detection in multilook sar images. IEEE Transactions on GRS, 36(5):1826-1829.
2. Bovik, A. C., Huang, T. S., and Jr, D. C. M. (1986). Non-parametric tests for edge detection in noise. Pattern Recognition, 19(3):209-219.
3. th IASTED VIIP Conf., pages 435-440.
4. Brune, M., Bard, J., Dubreuil, C., Guest, E., Hill, W., Kaufman, M., Stark, M., Davidson, D., and Baldock, R. (1999). A three-dimensional model of the mouse at embryonic day 9. 216(2):457-468.
5. Canny, J. (1986). A computational approach to edge detection. IEEE T-PAMI, 8:769-698.
6. de Souza, P. (1983). Edge detection using sliding statistical tests. CVGIP, 23(1):1-14.
7. Fesharaki, M. N. and Hellestrand, G. R. (1994). A new edge detection algorithm based on a statistical approach. In ICSIPNN '94, pages 21-24. IEEE.
8. Hou, Z. (2003). Robust edge detection. Pattern Recognition, 36(9):2083-2091.
9. Huang, J. S. and Tseng, D. H. (1988). Statistical theory of edge detection. CVGIP, 34(3):337-346.
10. Kundu, A. (1990). Robust edge detection. Pattern Recognition, 23(5):423-440.
11. Lim, D. H. and Jan, S. J. (2002). Comparison of two-sample tests for edge detection in noisy images. Statistician, 51(1):21-30.
12. Lim, D. H. and Jan, S. J. (2006). Robust edge detection in noisy images. Computational Statistics and Data Analysis, 50(3):803-812.
13. Perona, P. and Malik, J. (1990). Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Inteligence, 12(7):629-639.
14. Pratt, W. K. (1991). Digital Image Processing. Wiley. ISBN: 0-471-37407-5.
15. Smith, S. and Brady, J. (1997). Susan - a new approach to low level image processing. IJCV, 23(1):45-78.
16. Šonka, M., Hlaváč, V., and Boyle, R. (1986). Image Processing Analysis and Machine Vision. Chapman and Hall Publishing. London.
17. Williams, I., Bowring, N. J., Guest, E., Twigg, P., Fan, Y., and Gadsby, D. (2005). A combined statistical/neural network multi-scale edge detector. In 5th IASTED VIIP Conf. ISBN: 0-88986-528-0, ref: 480-266.