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Visual Pattern Discrimination
Abstract
Visual discrimination experiments were conducted using unfamiliar displays generated by a digital computer. The displays contained two side-by-side fields with different statistical, topological or heuristic properties. Discrimination was defined as that spontaneous visual process which gives the immediate impression of two distinct fields. The condition for such discrimination was found to be based primarily on clusters or lines formed by proximate points of uniform brightness. A similar rule of connectivity with hue replacing brightness was obtained by using varicolored dots of equal subjective brightness. The limitations in discriminating complex line structures were also investigated.
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Citations
Cited by
Natural Image Statistics and Neural Representation
Simoncelli, E. P., & Olshausen, B. A. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.1193 · Cited by 2,460
Textural Features Corresponding to Visual Perception
Tamura, H., Mori, S., & Yamawaki, T. (1978) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1978.4309999 · Cited by 2,155
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
Portilla, J., & Simoncelli, E. P. (2000) · International Journal of Computer Vision · doi:10.1023/a:1026553619983 · Cited by 1,806
Textons, the elements of texture perception, and their interactions
Julesz, B. (1981) · Nature · doi:10.1038/290091a0 · Cited by 1,703
Self-citationMarkov Random Field Texture Models
Cross, G. R., & Jain, A. K. (1983) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1983.4767341 · Cited by 1,414
Metadata
- Authors
- Julesz, B.
- Venue
- IEEE Transactions on Information Theory
- Published
- 1962-02
- Volume
- 8
- Issue
- 2
- Pages
- 84-92
- ISSN
- 0018-9448 (ISSN-L)
- OpenAlex
- W2125027853
- Cited by
- 886
- References
- 0
- FWCI
- 0.89
- Type
- journal article
- Language
- en
- Open access
- closed
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- Julesz, B. (1962). Visual Pattern Discrimination. IEEE Transactions on Information Theory. https://doi.org/10.1109/tit.1962.1057698
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
