Definitions
from Wiktionary, Creative Commons Attribution/Share-Alike License.
- noun image processing A process of creating a black-and-white image out of a grayscale image consisting of setting exactly those pixels to white whose value is above a given threshold, setting the other pixels to black.
Etymologies
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Examples
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If we can see star travel, even in a fictional format, it plays into thresholding on a cultural level.
MIND MELD: Is Science Fiction Responsible for the Lack of Public Interest in Space Exploration? 2008
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This is the thresholding theory of evolution in practice.
MIND MELD: Is Science Fiction Responsible for the Lack of Public Interest in Space Exploration? 2008
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As editing is the reading moment: the multimplication of material in Divestiture — A yields a thresholding surplus, a hyper-trophy of enjoyments: its post-personalizing thrill bursting from an energizing strangeness of interferences, interruptions, and diastrophic collisions.
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I tried to get only "the good stuff" from del. icio.us/popular by thresholding the feed with my very popular feed.
Descriptious: Popular del.icio.us links with descriptions included Jonathan Aquino 2006
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With the blessing of the new Antiquities Authority president, Khalifa oversaw the entire process, including the technical side which included such things as edge detection, document degradation, global and adaptive thresholding, color clustering, and image processing.
The Last Patriot Brad Thor 2008
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In particular he talks about SST thresholding for hurricane intensity.
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In particular he talks about SST thresholding for hurricane intensity.
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In particular he talks about SST thresholding for hurricane intensity.
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We discuss the different parameters and design decisions that normally appear when building automatic classifiers, including, stemming, stop-words, thresholding, amount of data and approaches for improving performance using the structure in XML documents.
Archive 2004-09-12 David Bigwood 2004
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We discuss the different parameters and design decisions that normally appear when building automatic classifiers, including, stemming, stop-words, thresholding, amount of data and approaches for improving performance using the structure in XML documents.
Automatic Classification David Bigwood 2004
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