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dc.contributor.authorMcIlhagga, William H.
dc.contributor.authorMullen, K.T.
dc.date.accessioned2018-09-27T14:03:08Z
dc.date.available2018-09-27T14:03:08Z
dc.date.issued2018-09
dc.identifier.citationMcIlhagga W and Mullen KT (2018) Evidence for chromatic edge detectors in human vision using classification images. Journal of Vision. 18(9):8, 1-17.en_US
dc.identifier.urihttp://hdl.handle.net/10454/16584
dc.descriptionYesen_US
dc.description.abstractEdge detection plays an important role in human vision, and although it is clear that there are luminance edge detectors, it is not known whether there are chromatic edge detectors as well.We showed observers a horizontal edge blurred by a Gaussian filter (with widths of r ¼ 0.1125, 0.225, or 0.458) embedded in blurred Brown noise. Observers had to choose which of two stimuli contained the edge. Brown noise was used in preference to white noise to reveal localized edge detectors. Edges and noise were defined by either luminance or chromatic contrast (isoluminant L/M and S-cone opponent). Classification image analysis was applied to observer responses. In this analysis, the random components of the stimulus are correlated with observer responses to reveal a template that shows how observers weighted different parts of the stimulus to arrive at their decision.We found classification images for both luminance and isoluminant chromatic stimuli that had shapes very similar to derivatives of Gaussian filters. The widths of these classification images tracked the widths of the edges, but the chromatic edge classification images were wider than the luminance ones. These results are consistent with edge detection filters sensitive to luminance contrast and isoluminant chromatic contrast.en_US
dc.description.sponsorshipRoyal Society Travel Grant IE130877 and in part by Canadian Institutes of Health Research (CIHR) grant MOP-10819en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/1 0.1167/18.9.8en_US
dc.rightsCopyright 2018 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.en_US
dc.subjectColour visionen_US
dc.subjectEdgesen_US
dc.subjectSpatial visionen_US
dc.subjectClassification imagesen_US
dc.titleEvidence for chromatic edge detectors in human vision using classification imagesen_US
dc.status.refereedYesen_US
dc.date.Accepted2018
dc.date.application2018-09-07
dc.typeArticleen_US
dc.type.versionpublished version paperen_US
refterms.dateFOA2018-09-27T14:03:11Z


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