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dc.contributor.authorMcIlhagga, William H.*
dc.date.accessioned2018-10-22T14:39:29Z
dc.date.available2018-10-22T14:39:29Z
dc.date.issued2018-12
dc.identifier.citationMcIlhagga W (2018) Estimates of edge detection filters in human vision. Vision Research. 153: 30-36.en_US
dc.identifier.urihttp://hdl.handle.net/10454/16619
dc.descriptionYesen_US
dc.description.abstractEdge detection is widely believed to be an important early stage in human visual processing. However, there have been relatively few attempts to map human edge detection filters. In this study, observers had to locate a randomly placed step edge in brown noise (the integral of white noise) with a 1/𝑓2 power spectrum. Their responses were modelled by assuming the probability the observer chose an edge location depended on the response of their own edge detection filter to that location. The observer’s edge detection filter was then estimated by maximum likelihood methods. The filters obtained were odd-symmetric and similar to a derivative of Gaussian, with a peak-to-trough width of 0.1–0.15 degrees. These filters are compared with previous estimates of edge detectors in humans, and with neurophysiological receptive fields and theoretical edge detectors.en_US
dc.language.isoenen_US
dc.rights© 2018 Elsevier Ltd. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.en_US
dc.subjectPsychophysicsen_US
dc.subjectEdge detectionen_US
dc.subjectReverse correlationen_US
dc.subjectClassification imagesen_US
dc.titleEstimates of edge detection filters in human visionen_US
dc.status.refereedYesen_US
dc.date.Accepted2018-09-30
dc.date.application2018-10-10
dc.typeArticleen_US
dc.type.versionAccepted Manuscripten_US
dc.identifier.doihttps://doi.org/10.1016/j.visres.2018.09.007
refterms.dateFOA2018-10-22T14:39:29Z


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