The RGFF representational model: a system for the automatically learned partitioning of visual patterns in digital images

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 21, Issue 10, 1999, Pages 1044-1073

  Rodriguez Sânchez, Rosa ^a   Garcia, J A ^b   Fdez Valdivia, J ^a   Fdez Vidal, Xose R ^b  

^a UNIVERSITY OF JAÉN   (Spain)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

Dynamic clustering; Image statistics; Integral features; Invariance across orientations and scales; Log gabor filters; Strongly responding units; Visual patterns

Indexed keywords

ACTIVE FILTERS; BANDPASS FILTERS; FREQUENCIES; IMAGE ANALYSIS; SENSORS; SIGNAL FILTERING AND PREDICTION; STATISTICAL METHODS; TWO DIMENSIONAL;

DYNAMIC CLUSTERING; IMAGE ANALYSIS; IMAGE STATISTICS; LOG GABOR FILTERS; VISUAL PATTERNS;

LEARNING SYSTEMS;

EID: 0033209994     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.799910     Document Type: Article

References (35)

1. D.J. Field, Scale-Invariance and Self-Similar 'Wavelet' Transforms: An Analysis of Natural Scenes and Mammalian Visual Systems, Wavelets, Fractals, and Fourier Transforms, M. Farge, J.C.K. Hunt, and J.C. Vassilicos, eds., pp. 151-193, Oxford: Clarendon Press, 1993.
2. M.C. Morrone and D.C. Burr, Feature Detection in Human Vision: A Phase-Dependent Energy Model, Proc. Royal Soc. London B, vol. 235, pp. 221-245, 1988.
3. D.J. Field, Relations between the Statistics of Natural Images and the Response Properties of Cortical Cells, J. Optical Soc. Am. A, vol. 4, no. 12, pp. 2,379-2,394, 1987.
4. M. Wertheimer, Principles of Perceptual Organization, Readings in Perception, pp. 115-135, Princeton, N.J.: Van Nostrand, 1958.
5. D.G. Lowe, Three-Dimensional Object Recognition from Single Two-Dimensional Images, Artificial Intelligence, vol. 31, pp. 355-395, 1987.
6. M.C. Morrone and R.A. Owens, Feature Detection from Local Energy, Pattern Recognition Letters, vol. 6, pp. 303-313, 1987.
7. J. Fdez-Valdivia, J.A. Garcia, J. Martinez-Baena, and X.R. FdezVidal, The Selection of Natural Scales in 2D Images Using Adaptive Gabor Filtering, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, pp. 458-469, 1998.
8. N. Graham, Visual Pattern Analyzers. Oxford Univ. Press, 1989.
9. A. Toet, Computing Visual Target Distinctness, TNO-Report TM97-A039, TNO Human Factors Research Inst., p. 74, 1997.
10. P. Kovesi, Image Features from Phase Congruency, Technical Report 95/4, Dept. of Computer Science, Univ. of Western Australia, 1995.
11. B. Robbins, The Detection of 2D Image Features Using Local Energy, DPhil thesis, Dept. of Computer Science, Univ. of Western Australia, 1996.
12. D. Gabor, Theory of Communication, J. Inst. Electrical Engineers, vol. 93, pp. 429-457, 1946.
13. X.R. Fdez-Vidal, J.A. Garcia, J. Fdez-Valdivia, and R. RodriguezSanchez, The Role of Integral Features for Perceiving Image Discriminability, Pattern Recognition Letters, vol. 18, pp. 733-740, 1997.
14. A.M. Treisman and G. Gelade, A Feature-Integration Theory of Attention, Cognitive Psychology, vol. 12, pp. 97-136, 1980.
15. R.F. Quick, A Vector-Magnitude Model of Contrast Detection, Kybernetik, vol. 16, pp. 65-67, 1974.
16. H. Ridder, Minkowski-Metrics as a Combination Rule for Digital Image Coding Impairments, SPIE Vol. 1666 Human Vision, Visual Processing, and Digital Display 111, pp. 16-26, 1992.
17. P.E. Green, F.J. Carmone, and S.M. Smith, Multidimensional Scaling: Concepts and Applications. Boston: Allyn and Bacon, 1989.
18. L.A. Olzak and J.P. Thomas, Seeing Spatial Patterns, Handbook of Perception and Human Performance, vol. 1. New York: John Wiley & Sons, 1986.
19. J.A. Garcia, J. Fdez-Valdivia, F.J. Cortijo, and R. Molina, A Dynamic Approach for Clustering Data, Signal Processing, vol. 44, pp. 181-196, 1995.
20. X.R. Fdez-Vidal, R. Rodriguez-Sanchez, J.A. Garcia, and J. FdezValdivia, How to Define the Notion of Microcalcifications in Digitized Mammograms, Technical Report 98-03-22, Dept. of Computer Science and Artificial Intelligence, Univ. of Granada, Spain, 1998.
21. S. Venkatesh and R. Owens, On the Classification of Image Features, Pattern Recognition Letters, vol. 11, pp. 339-349, 1990.
22. J. Malik and P. Perona, Preattentive Texture Discrimination with Early Vision Mechanisms, J. Optical Soc. Am. A, vol. 7, no. 5, pp. 923-932, 1990.
23. B. Julesz, Experiments in the Visual Perception of Texture, Scientific Am., vol. 232, no. 4, pp. 34-43, 1975.
24. J. Canny, A Computational Approach to Edge Detection, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 18, no. 6, pp. 679-689, June 1996.
25. X.R. Fdez-Vidal, A. Toet, J.A. Garcia, and J. Fdez-Valdivia, Computing Visual Target Distinctness through Selective Filtering, Statistical Features, and Visual Patterns, Technical Report 98-03-27, Dept. of Computer Science and Artificial Intelligence, Univ. of Granada, Spain, 1998.
26. A.M. Rohaly, A.J. Ahumada, and A.B. Watson, Object Detection in Natural Backgrounds Predicted by Discrimination Performance and Models, Vision Research, vol. 37, pp. 3,225-3,235, 1997.
27. A. Toet, P. Bijl, F.L. Kooi, and J.M. Valeton, Image Data Set for Testing Search and Detection Models, TNO-Report TM97-A036, TNO Human Factors Research Inst., p. 35, 1997.
28. X.R. Fdez-Vidal, J.A. Garcia, J. Fdez-Valdivia, and R. RodriguezSanchez, How to Define the Notion of Visual Pattern for Predicting Visual Target Distinctness in a Complex Rural Background, Technical Report 98-03-30, Dept. of Computer Science and Artificial Intelligence, Univ. of Granada, Spain, 1998.
29. R. Rodriguez-Sanchez, J.A. Garcia, and J. Fdez-Valdivia, The RGF Pandemonium: A Low-Level Representational Model for Images, Pattern Recognition, vol. 31, no. 11, pp. 1,797-1,810, 1998.
30. J. Fdez-Valdivia, J.A. Garcia, and M. Garcia-Silvente, An Evaluation of the Novel Normalized-Redundancy Representation for Planar Curves, Int'l J. Pattern Recognition and Artificial Intelligence, vol. 10, no. 7, pp. 769-789, 1996.
31. C.R. Rao, Linear Statistical Inference and Its Applications. New York: Wiley, 1973.
32. E.F. Moore, The Shortest Path through a Maze, Proc. Int'l Symp. Theory of Switching, Part 11, pp. 285-292, Cambridge, Mass.: Harvard Univ. Press, 1957.
33. E.W. Dijkstra, A Note on Two Problems in Connexion with Graphs, Numer. Math., vol. 1, pp. 269-271, 1959.
34. A.P. Witkin, Scale-Space Filtering, Proc. Eighth Int'l Joint. Conf. Artificial Intelligence, pp. 559-562, Karlsruhe, West Germany, 1983.
35. J.J. Koenderink, The Structure of Images, Biological Cybernetics, vol. 50, pp. 336-370, 1984.