The main reason why grayscale representations are often used for extracting descriptors instead of operating on color images directly is that grayscale simplifies the algorithm and reduces computational requirements. A priori, none of these criteria suggest superior recognition performance. The most common techniques are based on weighted means of the red, green, and blue image channels (e.g., Intensity and Luminance), but some methods adopt alternative strategies to generate a more perceptually accurate representation (e.g., Luma and Lightness ) or to preserve subjectively appealing color contrast information in grayscale images (e.g., Decolorize ). However, since many methods for converting to grayscale have been employed in computer vision, we believe it is prudent to assess whether this assumption is warranted. This is because most researchers assume that the color-to-grayscale method is of little consequence when using robust descriptors. Modern descriptor-based image recognition systems often operate on grayscale images, with little being said of the mechanism used to convert from color-to-grayscale. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: The authors have declared that no competing interests exist. Gauthier, PI), and the National Science Foundation (NSF) (grant #SBE-0542013 to the Temporal Dynamics of Learning Center, G.W. McDonnell Foundation (Perceptual Expertise Network, I. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.įunding: This work was supported by the James S. Received: JAccepted: DecemPublished: January 10, 2012Ĭopyright: © 2012 Kanan, Cottrell. Citation: Kanan C, Cottrell GW (2012) Color-to-Grayscale: Does the Method Matter in Image Recognition? PLoS ONE 7(1):Įditor: Eshel Ben-Jacob, Tel Aviv University, Israel
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