Abstract

Abrupt changes in the color or luminance of a visual image potentially indicate object boundaries. Here, we consider how these cues to the visual “edge” location are combined when they conflict. We measured the extent to which localization of a compound edge can be predicted from a simple maximum likelihood estimation model using the reliability of chromatic (L−M) and luminance signals alone. Maximum likelihood estimation accurately predicted the pattern of results across a range of contrasts. Predictions consistently overestimated the relative influence of the luminance cue; although L−M is often considered a poor cue for localization, it was used more than expected. This need not indicate that the visual system is suboptimal but that its priors about which cue is more useful are not flat. This may be because, although strong changes in chromaticity typically represent object boundaries, changes in luminance can be caused by either a boundary or a shadow.

Highlights

  • Abrupt changes in the color or luminance of a visual image potentially indicate object boundaries

  • The surfaces in natural scenes can be segmented on the basis of both color and luminance information (Fine, MacLeod, & Boynton, 2003; Hansen & Gegenfurtner, 2009; Johnson, Kingdom, & Baker, 2005) such that either cue might be used to detect an object boundary

  • The presence of a luminance flanker does not have a greater effect on edge localization than a chromatic flanker, again, if performance has been equated for the cues alone (Rivest & Cavanagh, 1996)

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Summary

Introduction

Abrupt changes in the color or luminance of a visual image potentially indicate object boundaries. Keywords Color, luminance, conflicting, edges, cue combination When color and luminance cues conflict, there are several possible ways that edge location could be determined as both chromatic and luminance information can be used to make edge localization judgments.

Results
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