Parametric characterization of the form of the human pupil from blurred noisy images

Computer Methods and Programs in Biomedicine

Volumn 77, Issue 1, 2005, Pages 39-48

  Iacoviello, Daniela ^a   Lucchetti, Matteo ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

Edge detection; Pupil's form; Wavelets

Indexed keywords

ADDITIVE WHITE NOISE; NON-INVASIVE DIAGNOSIS; PUPIL;

CHARGE COUPLED DEVICES; EDGE DETECTION; IMAGE QUALITY; PROBABILITY; VISION; WHITE NOISE;

BIOLOGICAL ORGANS;

ANALYTIC METHOD; ARTICLE; CONTROLLED STUDY; HUMAN; IMAGE ANALYSIS; MEASUREMENT; MODEL; NOISE; PARAMETER; PROBABILITY; PUPIL; QUANTITATIVE ANALYSIS; TECHNIQUE; WHITE NOISE;

COMPUTER SIMULATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IRIS; MODELS, ANATOMIC; PHOTOGRAPHY; PUPIL; SOFTWARE;

EID: 11344273704     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2004.09.001     Document Type: Article

References (23)

1. L.W. Stark The pupil as a paradigm for neurological control systems IEEE Trans. Biomed. Eng. 31 1984 919 924
2. E.H. Hess, and J.M. Polt Pupil size in relation to mental activity during simple problem solving Science 140 1964 1190 1192
3. Hunter Acta Neuropathol. 68 1985 53 58
4. A.M. Oroujeh, W. O'Neill, A.P. Keegan, and S.L. Merritt Using recursive parameter estimation for sleep disorder discrimination, International Conference on Acoustics Speech and Signal Processing 3 1995 1928 1931
5. J. Richman, and R.S. Noriega The sensitivity and specificity of infrared pupillometry measurements in identifying drug impairment in county probation program Optometry Vision Sci. 79 2002
6. A. Uetake, A. Murata, M. Otsuka, and Y. Takasawa Evaluation of visual fatigue during VDT tasks IEEE Int. Conf. Syst., Man Cybernet. 2 2000 1277 1282
7. D. Zhu, S.T. Moore, and T. Raphan Robust pupil center detection using a curvature algorithm Comput. Meth. Prog. Biomed. 59 1999 145 157
8. H.J. Wyatt The form of human pupil Vision Res. 35 1995 2021 2036
9. A. Kristek The physiological pupillogram of the human eye Czechoslovakian J. Ophthalmol. 21 1965 28 35
10. I.E. Lowenfeld Pupillary changes related to age H.S. Thompson R. Daroff L. Frisen Topics in Neurophthalmology 1979 Md: Williams and Wilkins Baltimore pp. 124-150
11. M. Sonka, J.M. Fitzpatrick (Eds.), Handbook of Medical Imaging: Medical Image Processing and Analysis, Society of Photo-Optical Instrumentation Engineers, 2000.
12. J.R. Price, T.F. Gee, and K.W. Tobin Jr. Blur estimation in limited-control environments Proceedings of the 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3 2001 1672 1679
13. H.-C. Lee Review of image-blur models in photographic system using the principles of optics Opt. Eng. 29 1990 405 421
14. S. Chardon, B. Vozel, and K. Chehdi A comparative study between parametric blur estimation methods International Conference on Acoustics, Speech and Signal Processing 6 1999 3233 3236
15. J. Biemond, R.L. Lagendij, and M. Mersereau Iterative methods for image deblurring Proc. IEEE 78 1990 856 883
16. A. Bosco, and M. Mancuso Adaptive filtering for image denoising Int. Conf. Consumer Electron. 2001 208 209
17. M. Ibrahim Sezan, G. Pavlovic, A. Murat Tekalp, and A. Tanju Erdem On modelling the focus blur in image restoration International Conference on Acoustics, Speech and Signal Processing 4 1991 2485 2488
18. M. Subbarao, G. Tse-Chung Wei, and Surya Focused image recovery from two defocused images recorded with different camera settings IEEE Trans. Image Process. 4 1995 1613 1628
19. C. Bruni, R. Bruni, A. De Santis, D. Iacoviello, and G. Koch Global optimal image reconstruction from blurred noisy data by a Bayesian approach J. Opt. Theory Appl. 15 2002 67 95
20. C. Bruni, A. De Santis, D. Iacoviello, and G. Koch Modeling for edge detection problems in blurred noisy images IEEE Trans. Image Process. 10 2001 1447 1453
21. S. Mallat, and S. Zhong Characterization of signals from multiscale edges IEEE Trans. Pattern Anal. Mach. Intell. 14 1989 710 732
22. H. Cramer Mathematical Methods of Statistics 1963 Princeton University Press Princeton
23. D. Iacoviello, M. Lucchetti, G. Calcagnini, and F. Censi Pupil edge detection and morphological identification from blurred noisy images Proceedings of the 25th Annual International Conference on IEEE Engineering in Medicine and Biology Society Cancun, Mexico September 2003