Understanding image structure from a new multi-scale representation of higher order derivative filters

Image and Vision Computing

Volumn 25, Issue 8, 2007, Pages 1228-1238

  Ghosh, Kuntal ^a   Sarkar, Sandip ^a   Bhaumik, Kamales ^b  

^a SAHA INSTITUTE OF NUCLEAR PHYSICS   (India)

^b MAULANA ABUL KALAM AZAD UNIVERSITY OF TECHNOLOGY   (India)

Author keywords

Derivative filters; Multi scale filters; Non classical receptive field; Zero crossings

Indexed keywords

EDGE DETECTION; FEATURE EXTRACTION; IMAGE RETRIEVAL; MATHEMATICAL MODELS; NEUROPHYSIOLOGY; OPTICAL FILTERS;

DERIVATIVE FILTERS; DIRAC DELTA FUNCTION; MULTI SCALE FILTERS; NON CLASSICAL RECEPTIVE FIELD; ZERO CROSSINGS;

IMAGE ANALYSIS;

EID: 34249042095     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2006.07.022     Document Type: Article

References (38)

1. Marr D., and Hildreth E. Theory of edge detection. Proceedings of Royal Society of London B 207 (1980) 187-217
2. Rodieck R.W., and Stone J. Analysis of receptive fields of cat retinal ganglion cells. Journal of Neurophysiology 28 (1965) 833-849
3. Enroth-Cugell C., and Robson J.G. The contrast sensitivity of the retinal ganglion cells of the cat. Journal of Physiology (London) 187 (1966) 517-552
4. A.P. Witkin, Scale-space filtering, in: Proceedings of International Joint Conferences on Artificial Intelligence, Karlsruhe, 1983, pp. 1019-1022.
5. Yuille A.L., and Poggio T.A. Scaling theorems for zero-crossings. IEEE Transactions on Pattern Analysis and Machine Intelligence 8 (1986) 15-25
6. R.A. Young, The Gaussian derivative theory of spatial vision: analysis of cortical cell receptive field line weighting profiles. General Motors Research Publication GMR-4920(1985).
7. Young R.A. The Gaussian derivative model for spatial vision: I. Retinal mechanisms. Spatial Vision 2 (1987) 273-293
8. De Valois R.L., Albrecht D.G., and Thorell L.G. Spatial frequency selectivity of cells in macque visual cortex. Vision Research 22 (1982) 545-560
9. Ratliff F. Mach Bands: Quantitative Studies on Neural Networks in the Retina (1965), Holden-Day, San Francisco CA pp. 321-332
10. R.N. Bracewell, Chapter 8: The Two Domains, in: Fourier Transform and Its Applications, Third Tata McGrawhill Indian Edition, 2003, pp. 151-197.
11. T. Lindeberg, Chapter 2: Linear Scale-Space and Related Multi-Scale Representations, in: Scale-Space Theory in Computer Vision, Kluwer Academic Publishers, Boston, 1994, pp. 31-60.
12. Koenderink J.J. The structure of images. Biological Cybernetics 50 (1984) 363-370
13. Koenderink J.J., and van Doorn A.J. Representation of local geometry in the visual system. Biological Cybernetics 55 (1987) 367-375
14. Koenderink J.J., and van Doorn A.J. Receptive field families. Biological Cybernetics 63 (1990) 291-297
15. Koenderink J.J., and van Doorn A.J. The shape of smooth objects and the way contours end. Perception 11 (1982) 129-137
16. Ma S.D., and Li B. Derivative computation by multiscale filters. Image and Vision Computing 16 (1998) 43-53
17. Logan Jr. B.F. Information in the zero-crossings of bandpass signals. Bell Systems Technical Journal 56 (1977) 487-510
18. Passaglia C.L., Enroth-Cugell C., and Troy J.B. Effects of remote stimulation on the mean firing rate of cat retinal ganglion cells. Journal of Neuroscience 21 (2001) 5794-5803
19. K. Ghosh, S. Sarkar, K. Bhaumik, Image enhancement by high-order Gaussian derivative filters simulating non-classical receptive fields in the human visual system, Patten Recognition and Machine Intelligence: Springer LNCS, vol. 3776, ISBN-13 978-3-540-30506-4, First International Conference, PReMI 2005, Kolkata, India, December 20-22, 2005, pp. 453-458.
20. Marr D. Vision (1982), W.H. Freeman and Company, New York
21. Marr D., Poggio T., and Ullman S. Bandpass channels, zero-crossings, and early visual information processing. Journal of Optical Society of America 69 (1979) 914-916
22. Marr D., Poggio T., and Hildreth E. Smallest channel in early human vision. Journal of Optical Society of America 70 (1980) 868-870
23. McIlwain J.T. Some evidence concerning the periphery effect in cat's retina. Experimental Brain Research 1 (1966) 265-271
24. Ikeda H., and Wright M.J. Functional organization of the periphery effect in retinal ganglion cells. Vision Research 12 (1972) 1857-1879
25. Ghosh K., Sarkar S., and Bhaumik K. A possible mechanism of zero-crossing detection using the concept of extended classical receptive field of retinal ganglion cells. Biological Cybernetics 93 (2005) 1-5
26. Enroth-Cugell C., and Jakiela H.G. Suppression of cat retinal ganglion cell responses by moving patterns. Journal of Physiology (London) 302 (1980) 49-72
27. Kruger J. The shift-effect enhances X- and suppresses Y-type response characteristics of cat retinal ganglion cells. Brain Research 201 (1984) 71-84
28. Iverson L.A., and Zucker S.W. Logical/linear operators for image curves. IEEE Transactions on Pattern Analysis and Machine Intelligence 17 (1995) 982-996
29. Canny J. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 8 (1986) 679-698
30. Koplowitz J., and Greco V. On edge location error for local maximum and zero-crossing edge detectors. IEEE Transactions on Pattern Analysis and Machine Intelligence 16 (1994) 1207-1212
31. Sarkar S., and Boyer K.L. On optimal infinite impulse response edge detection filters. IEEE Transactions on Pattern Analysis and Machine Intelligence 13 (1991) 1154-1170
32. Kennedy L.M., and Basu M. Image enhancement using a human visual system model. Pattern Recognition 30 (1997) 2001-2014
33. K.Ghosh, S. Sarkar, K.Bhaumik, A new mechanism of "fuzzy edge detection by multi-scale Gaussian filters in the light of human visual system, in: Proceedings of the Second Indian International Conference on Artificial Intelligence, ISBN 0-9727412-1-6, Pune, India, December 20-22, 2005, pp. 3234-3251.
34. Sceniak M.P., Hawken M.J., and Shapley R. Contrast-dependent changes in spatial frequency tuning of macque v1 neurons: effects of a changing receptive field size. Journal of Neurophysiology 88 (2002) 1363-1373
35. Sun C., Chen X., Huang L., and Shou T. Orientation bias of the extraclassical receptive field of the relay cells in the cat's dorsal lateral geniculate nucleus. Neuroscience 125 (2004) 495-505
36. Ghosh K., Sarkar S., and Bhaumik K. A possible explanation of the low-level brightness-contrast illusions in the light of an extended classical receptive field model of retinal ganglion cells. Biological Cybernetics 94 (2006) 89-96
37. Weiss I. High-order differentiation filters that work. IEEE Transactions on Pattern Analysis and Machine Intelligence 16 (1994) 734-739
38. S. Sarkar, K. Ghosh, K. Bhaumik, Extended surround based neuromorphically implementable model of human visual system, in: IEEE Proceedings, Second International Conference on Intelligent Sensing and Information Processing, ISBN 0-7803-8841-0, Chennai, India, January 4-7, 2005, pp. 458-462.