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Technological Tools

Technological Tools Note: Dr. David Inouye is the editor of the Technological Tools section. Anyone wishing to contribute articles or reviews to this section should contact him at the Department of Zoology, University of Maryland, College Park, MD 20742, E-mail: di5@umail.umd.edu. will preserve all of the contrast, but retention of detail above some minimum allows distinction. (Whether or not quantitative measures, such as vegetative cover, can be usefully composed with degraded contrast is another matter.) A human observer, using brightness as a cue, can distinguish lines differing by as little as 2% in luminance (Hecht 1924). A picture element, or pixel, has other attributes for discrimination: (1) hue, loosely what we call color; we can distinguish about 1000 hues, and (2) saturation, or the purity of hue. Desaturation is addition of white, which is equal amounts of red, green, and blue (R, G, B) primary colors. Hue, saturation, and brightness or value (H, S, V) have quantitative definitions when one can measure R, G, and B (Myler and Weeks 1993; see also my web site . Light that is not too bright or too dim (Klinker 1993:38) optimizes our ability to discriminate colors (H, S, V or equivalent R, G, http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bulletin of the Ecological Society of America Ecological Society of America

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Publisher
Ecological Society of America
Copyright
Copyright © 2002 by the Ecological Society of America
Subject
Articles
ISSN
0012-9623
DOI
10.1890/0012-9623%282002%29083%5B0176:TT%5D2.0.CO%3B2
Publisher site
See Article on Publisher Site

Abstract

Note: Dr. David Inouye is the editor of the Technological Tools section. Anyone wishing to contribute articles or reviews to this section should contact him at the Department of Zoology, University of Maryland, College Park, MD 20742, E-mail: di5@umail.umd.edu. will preserve all of the contrast, but retention of detail above some minimum allows distinction. (Whether or not quantitative measures, such as vegetative cover, can be usefully composed with degraded contrast is another matter.) A human observer, using brightness as a cue, can distinguish lines differing by as little as 2% in luminance (Hecht 1924). A picture element, or pixel, has other attributes for discrimination: (1) hue, loosely what we call color; we can distinguish about 1000 hues, and (2) saturation, or the purity of hue. Desaturation is addition of white, which is equal amounts of red, green, and blue (R, G, B) primary colors. Hue, saturation, and brightness or value (H, S, V) have quantitative definitions when one can measure R, G, and B (Myler and Weeks 1993; see also my web site . Light that is not too bright or too dim (Klinker 1993:38) optimizes our ability to discriminate colors (H, S, V or equivalent R, G,

Journal

Bulletin of the Ecological Society of AmericaEcological Society of America

Published: Jul 1, 2002

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