IMAGEJ . NET {
}
Title:
Auto Threshold
Description:
The ImageJ wiki is a community-edited knowledge base on topics relating to ImageJ, a public domain program for processing and analyzing scientific images, and its ecosystem of derivatives and variants, including ImageJ2, Fiji, and others.
Website Age:
14 years and 3 months (reg. 2011-03-11).
Matching Content Categories {π}
- Photography
- Technology & Computing
- Science
Content Management System {π}
What CMS is imagej.net built with?
Custom-built
No common CMS systems were detected on Imagej.net, and no known web development framework was identified.
Traffic Estimate {π}
What is the average monthly size of imagej.net audience?
π Strong Traffic: 100k - 200k visitors per month
Based on our best estimate, this website will receive around 100,410 visitors per month in the current month.
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How Does Imagej.net Make Money? {πΈ}
We see no obvious way the site makes money.
Many websites are intended to earn money, but some serve to share ideas or build connections. Websites exist for all kinds of purposes. This might be one of them. Imagej.net could be getting rich in stealth mode, or the way it's monetizing isn't detectable.
Keywords {π}
threshold, method, image, histogram, images, bit, original, values, thresholding, ported, methods, plugin, white, code, auto, ignore, algorithm, matlab, bins, pixels, data, stack, slices, option, result, celebis, fourier, routines, imagej, black, results, stacks, triangle, page, computed, applet, extremes, implementation, entropy, average, local, background, single, processing, slice, based, empty, bits, huang, isodata,
Topics {βοΈ}
nl/courses/fip/noframes/fip-segmenta real empty bins page history edit imagej/plugins folder minimum error thresholding impressive speed advantage extremely unequal peaks excellent slide presentation intra-class variance original unscaled image full greyscale space imagej thresholder applet original matlab code threshold remain unchanged auto threshold plugin plugin supports thresholding thresholder applet accessible selected thresholding method fuzzy thresholding method original huang method download auto_threshold processes 16-bit images mediawiki explore current implementation avoids image histogram bins ignore white options οΏ½defaultβ method ignores black background option black background sets selecting ignore black original stack size offset-dependent problem installation imagej scaled grey values thresholded phase shown similar threshold result auto thresholding triangle method applied original image download minimum similarly maxentropy method original method restart imagej reality imagej threshold based set threshold local thresholding additional options
Questions {β}
- Which method segments your data best?
External Links {π}(14)
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Libraries {π}
- jQuery
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