Pattern recognition in correlated and uncorrelated noise
| Autor: | Jason M. Gold, Brianna Conrey |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Adult
Male Signal Detection Psychological Adolescent Normal Distribution Differential Threshold Linear classifier Article Discrimination Learning symbols.namesake Humans Computer Simulation Detection theory Value noise Mathematics Models Statistical Noise measurement business.industry Reproducibility of Results Pattern recognition Salt-and-pepper noise White noise Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Gradient noise Pattern Recognition Visual Gaussian noise symbols Female Computer Vision and Pattern Recognition Artificial intelligence business Monte Carlo Method |
| Zdroj: | Journal of the Optical Society of America A. 26:B94 |
| ISSN: | 1520-8532 1084-7529 |
| DOI: | 10.1364/josaa.26.000b94 |
| Popis: | This study examined how correlated, or filtered, noise affected efficiency for recognizing two types of signal patterns, Gabor patches and three-dimensional objects. In general, compared with the ideal observer, human observers were most efficient at performing tasks in low-pass noise, followed by white noise; they were least efficient in high-pass noise. Simulations demonstrated that contrast-dependent internal noise was likely to have limited human performance in the high-pass conditions for both signal types. Classification images showed that observers were likely adopting different strategies in the presence of low-pass versus white noise. However, efficiencies were underpredicted by the linear classification images and asymmetries were present in the classification subimages, indicating the influence of nonlinear processes. Response consistency analyses indicated that lower contrast-dependent internal noise contributed somewhat to higher efficiencies in low-pass noise for Gabor patches but not objects. Taken together, the results of these experiments suggest a complex interaction among signals, external noise spectra, and internal noise in determining efficiency in correlated and uncorrelated noise. |
| Databáze: | OpenAIRE |
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