REFERENCES
- Hobbins, W. In Biomedical Thermology, 1982, pp. 361–375 (Alan R. Liss, Inc., New York).
- Ring, E. F. J. and Ammer, K. The technique of infra red imaging in medicine. Thermol. Int., 2000, 10, 7–14.
- Jones, B. and Plassmann, P. Digital infrared thermal imaging of human skin. Eng. Med. Biol. Mag., 2002, 21, 41–48.
- Ring, E. F. J., Ammer, K., Jung, A., Murawski, P., Więcek, B., Żuber, J., Zwolenik, S., Plassmann, P., Jones, C. D. and Jones, B. Standardization of infrared imaging, Proc. 26th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society: IEMBS ’04, San Francisco, CA, USA, September 2004, IEEE, pp. 1183–1183.
- Zhou, Q., Li, Z. and Aggarwal, J. K. Boundary extraction in thermal images by edge map, Proc. 2004 ACM Symposium on Applied computing, Nicosia, Cyprus, March 2004, ACM, pp. 254–258.
- Suzuki, K., Horiba, I. and Sugie, N. Edge detection from noisy images using a neural edge detector, Proc. 10th IEEE Workshop on Neural networks for signal processing: NNSP 2000, Sydney, NSW, Australia, December 2000, IEEE, pp. 487–496.
- Ghosh, P. and Mitchell, M. Segmentation of medical images using a genetic algorithm, Proc. 8th Annual Conf. on Genetic and evolutionary computation: GECCO 2006, Seattle, WA, USA, July 2006, ACM, pp. 1171–1178.
- Sharifi, M., Fathy, M. and Mahmoudi, M. T. A classified and comparative study of edge detection algorithms, Proc. Int. Conf. on Information technology: coding and computing: ITCC’02, Las Vegas, NV, USA, April 2002, IEEE Computer Society, pp. 117–120.
- Roushdy, M. Comparative study of edge detection algorithms applying on the grayscale noisy image using morphological filter. GVIP J., 2006, 6, 17–23.
- Arsenault, H. H. and Levesque, M. Combined homomorphic and local-statistics processing for restoration of images degraded by signal-dependent noise. Appl. Opt., 1984, 23, 845–850.
- Gonzalez, R. C., Woods, R. E. and Eddins, S. L. Digital Image Processing Using Matlab, 2nd edition, 2004 (Pearson Education, Upper Saddle River, NJ).
- Gonzalez, R. C. and Woods, R. E. Digital Image Processing, 2nd edition, 2002 (Addison-Wesley, Reading, MA).
- Karantzalos, K. and Argialas, D. Improving edge detection and watershed segmentation with anisotropic diffusion and morphological levellings. Int. J. Remote Sens., 2006, 27, 5427–5434.
- Kass, M., Witkin, A. and Terzopoulos, D. Snakes: active contour models. Int. J. Comput. Vision, 1988, 1, 321–331.
- Li, C., Kao, C., Gore, J. C. and Ding, Z. Implicit active contours driven by local binary fitting energy, Proc. IEEE Conf. on Computer vision and pattern recognition: CVPR ’07, Minneapolis, MN, USA, June 2007, IEEE, pp. 1–7.
- Kinape, R. and Amorim, M. A study of the most important image quality measures, Proc. 25th Annual Int. Conf. of IEEE/EMBS, Cancun, Mexico, September 2003, IEEE, Vol. 1, pp. 934–936.
- Fox, I. J., Claypole, T. C. and Bohan, M. F. J. Print sharpness evaluation using image analysis and a new peak area algorithm. Imag. Sci. J., 2003, 51, 199–211.
- Zhu, G. P., Zeng, Q. S. and Wang, C. H. Robust shape based active contour for circle detection. Imag. Sci. J., 2008, 56, 175–178.
- Ring, E. F. J., Ammer, K., Wiecek, B. and Plassmann, P. Technical challenges for the construction of a medical IR digital image database. Proc. SPIE, 2005, 5964, 191–198.