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Adaptive Thresholding using the Integral Image
Journal of Graphics Tools, 2007Image thresholding is a common task in many computer vision and graphics applications. The goal of thresholding an image is to classify pixels as either "dark" or "light." Adaptive thresholding is a form of thresholding that takes into account spatial variations in illumination.
Bradley, D., Roth, Gerhard
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Adaptive threshold voiced detector
The Journal of the Acoustical Society of America, 1993Apparatus for detecting a fundamental frequency in speech by statistically analyzing a discriminant variable generated by a discriminant voiced detector (102) so as to determine the presence of the fundamental frequency in a changing speech environment.
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Fuzzy-adaptive-thresholding-based exon prediction
International Journal of Computational Biology and Drug Design, 2010Thresholding is always critical and decisive in many bioinformatics problems. In this paper, we propose and apply a fuzzy-logic-based adaptive thresholding approach to a well-known solution for the exon prediction problem, which uses a threshold on the frequency component at f = 1/3 in the nucleotide sequence.
Ankit, Agrawal +3 more
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ADAPT: Adaptive Thresholds for Feature Extraction
2017Threshold-based feature definitions remain one of the most widely used and most intuitive choice in a wide range of scientific areas. However, it is well known that in many applications selecting a single optimal threshold is difficult or even impossible.
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Wavelet thresholding and adaptation
1998This chapter treats in more detail the adaptivity property of nonlinear (thresholded) wavelet estimates. We first introduce different modifications and generalizations of soft and hard thresholding. Then we develop the notion of adaptive estimators and present the results about adaptivity of wavelet thresholding for density estimation problems. Finally,
Wolfgang Härdle +3 more
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Subquadratic Non-adaptive Threshold Group Testing
2017We consider threshold group testing – a generalization of a well known and thoroughly examined problem of combinatorial group testing. In the classical setting, the goal is to identify a set of positive individuals in a population, by performing tests on pools of elements.
De Marco, Gianluca +3 more
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Radioelectronics and Communications Systems, 2006
The paper considers algorithms of adaptation of threshold level of signal detection and the relevant devices, which, under the conditions of a priory indeterminacy of interference characteristics, make it possible to avoid loss in the threshold signal without exceeding the prescribed false alarm level.
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The paper considers algorithms of adaptation of threshold level of signal detection and the relevant devices, which, under the conditions of a priory indeterminacy of interference characteristics, make it possible to avoid loss in the threshold signal without exceeding the prescribed false alarm level.
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Foveal Increment Thresholds in Dark Adaptation
Journal of the Optical Society of America, 1964Foveal increment thresholds, with particular reference to the blue, were investigated when the retina was in the process of recovery from preadaptation to high and medium luminance fields of long wavelengths.While confirming Wald and Auerbach’s finding of an inflection in the blue recovery from adaptation to very high luminance, and Stiles’s ...
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Data Adaptive Wavelet Thresholding
1997Thresholding of empirical wavelet coefficients was discussed in Section 7.1, along with some examples of global thresholds. This chapter will pick up where Section 7.1 left off, focusing on the nonparametric regression situation. The ideas described here could also be adapted for use in density estimation or other types of function estimation. To focus
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Adaptation of Olfactory Threshold at High Altitude
2014The aim of this study was to investigate the effects of the extreme environment of high altitude hypoxia on olfactory threshold. The study was conducted before, during, and after a scientific expedition to Mera Peak (5,800 m). The n-butanol test was used for the assessment of the magnitude of the olfactory threshold.
Ruffini, R +5 more
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