Abstract
We present a software image processing methodology to generate complementary gray-scale images for visual perception experiments examining the interaction between the spatial localization and orientation sensitivity of visual perception. Specifically, our system is able to selectively mask or unmask specific resolutions, positions, and/or orientations of an input gray-level image using Gabor wavelet decomposition. The resulting representations are then combined to obtain partially reconstructed images for novel psychophysical experimentations.
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Biederman, I., &Cooper, E. E. (1991). Priming contour-deleted images: Evidence for intermediate representations in visual object recognition.Cognitive Psychology,23, 393–419.
Biederman, I., &Cooper, E. E. (1992). Size invariance in visual object priming performance.Journal of Experimental Psychology: Human Perception & Performance,18, 121–133.
Biederman, I., &Gerhardstein, P. C. (1993). Recognizing depthrotated objects-evidence and conditions for 3-dimensional viewpoint invariance.Journal of Experimental Psychology: Human Perception & Performance,19, 1162–1182.
Biederman, I., &Ju, G. (1988). Surface versus edge-base determinants of visual recognition.Cognitive Psychology,20, 38–64.
Buhmann, J., Lange, J., von der Malsburg, C., Vorbruggen, J., &Wurtz, R. (1992). Object recognition with Gabor functions in the dynamic link architecture. In B. Kosko (Ed.),Neural networks for signal processing (pp. 121–159). Englewood Cliffs, NJ: Prentice Hall.
Daugman, J. G. (1985). Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters.Journal of the Optical Society of America A,2, 1160–1169.
Daugman, J. G. (1988). Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression.IEEE Transactions on Acoustic, Speech, & Signal Processing,36, 1169–1179.
Daugman, J. G. (1989).Non-orthogonal wavelet representations in relaxation networks: Image encoding and analysis with biological visual primitives. New York: Adam Hilger.
De Valois, R. L., &De Valois, K. K. (1988).Spatial vision (2nd ed.). New York: Oxford University Press.
Doursat, R., Konen, W., Lades, M., von der Malsburg, C., Worbrüggen, J., Wiskott, L., &Würtz, R. (1993).Neural mechanisms of elastic pattern matching (Tech. Rep. IR-INI 93-01). Bochum: Ruhr Universität, Institut für Neuroinformatik.
Fiser, J., Biederman, I., &Cooper, E. E. (1994). Are the direct outputs of Gabor filters sufficient for human object recognition or are they only the prior stage for intermediate representations [Abstract]?Investigative Ophthalmology & Visual Science,35, 1625.
Gabor, D. (1946). Theory of communication.Journal of the Institution of Electrical Engineers,93, 429–457.
Hubel, D. H., &Wiesel, T. N. (1959). Receptive fields of single neurons in the cat’s visual cortex.Journal of Physiology,148, 574–591.
Hubel, D. H., &Wiesel, T. N. (1962). Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex.Journal of Physiology,160, 106–154.
Jain, A. K., &Farrokhnia, F. (1991). Unsupervised texture segmentation using Gabor filters.Pattern Recognition,24, 1167–1186.
Jones, J. P., &Palmer, L. A. (1987). An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex.Journal of Neurophysiology,58, 1233–1258.
Kennedy, J. M. (1988). Line endings and subjective contours.Spatial Vision,3, 151–158.
Kulikowski, J. J., Marčelja, S., &Bishop, P. O. (1982). Theory of spatial position and spatial frequency relations in the receptive fields of simple cells in the visual cortex.Biological Cybernetics,43, 187–198.
Lades, M., Vorbruggen, J. C., &Buhmann, J. (1993). Distortion invariant object recognition in the dynamic link architecture.IEEE Transactions on Computers,42, 300–311.
Lesher, G. W., &Mingolla, E. (1993). The role of edges and line-ends in illusory contour formation.Vision Research,33, 2253–2270.
Mallat, S. G. (1989). Multifrequency channel decompositions of images and wavelet models.IEEE Transactions on Acoustics, Speech, & Signal Processing,37, 2091–2110.
Manjunath, B. S., &Chellappa, R. (1993). A unified approach to boundary perception: Edges, textures, and illusory contours.IEEE Transactions on Neural Networks,4, 96–107.
Marčelja, S. (1980). Mathematical description of the responses of simple cortical cells.Journal of the Optical Society of America,70, 1297–1300.
Mehrotra, R., Namuduri, R., &Ranganathan, N. (1992). Gabor filter-based edge detection.Pattern Recognition,25, 1479–1494.
Porat, M., &Zeevi, Y. Y. (1988). The generalized Gabor scheme of image representation in biological and machine vision.IEEE Transactions on Pattern Analysis & Machine Intelligence,10, 452–468.
Thomas, J. P., Olzak, L. A., &Shimozaki, S. S. (1993). The role of Fourier components in discrimination between 2 types of plaid patterns.Vision Research,33, 1573–1579.
von der Malsburg, C., &von Seelen, W. (1992).Annual report 1992. Bochum: Ruhr Universität, Institut für Neuroinformatik.
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The research described in this paper was supported in part by the Center for Neural Engineering (Michael Arbib, principal investigator) and by OTKA 285-0813, AFORS 88-0231, and by McDonnel-Pew Cognitive Neuroscience T89-01245-029 (Irving Biederman, principal investigator). The authors thank Laurenz Wiscott for very helpful discussions, and I. Biederman and M. A. Arbib for their critical remarks on this work. The development of this system benefited from close cooperation with the face recognition system developed by C. von der Malsburg and his students at USC and at Institut für Neuroinformatik, Ruhr Universität, Bochum, Germany. J. Fiser is affiliated with the Department of Computer Science, Center for Neural Engineering, and Image Understanding Lab, at the University of Southern California, Los Angeles. I. King is affiliated with Center for Neural Engineering at the University of Southern California, Los Angeles.
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King, I., Fiser, J. Generating complementary gray-level images for object recognition experiments using Gabor wavelet decomposition. Behavior Research Methods, Instruments, & Computers 27, 433–441 (1995). https://doi.org/10.3758/BF03200442
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DOI: https://doi.org/10.3758/BF03200442