Results 31 to 40 of about 123,159 (318)

Locally Adaptive Tree-Based Thresholding Using the treethresh Package in R

open access: yesJournal of Statistical Software, 2017
This paper introduces the treethresh package offering accurate estimation, via thresholding, of potentially sparse heterogeneous signals and the denoising of images using wavelets.
Ludger Evers, Tim Heaton
doaj   +1 more source

Thresholds, Expectation Thresholds and Cloning

open access: yesThe Electronic Journal of Combinatorics
Let $p_\mathrm{c}$ and $q_\mathrm{c}$ be the threshold and the expectation threshold, respectively, of an increasing family $\mathcal{F}$ of subsets of a finite set $X$, and let $l$ be the size of a largest minimal element of $\mathcal{F}$. Recently, Park and Pham proved the Kahn–Kalai conjecture, which says that $p_\mathrm{c} \le K q_\mathrm{c} \log_2
Tomasz Przybylowski, Oliver Riordan
openaire   +3 more sources

Evaluation of Unsupervised Change Detection Methods Applied to Landslide Inventory Mapping Using ASTER Imagery

open access: yesRemote Sensing, 2018
Natural hazards include a wide range of high-impact phenomena that affect socioeconomic and natural systems. Landslides are a natural hazard whose destructive power has caused a significant number of victims and substantial damage around the world ...
Rocío N. Ramos-Bernal   +4 more
doaj   +1 more source

Phenology-Based Vegetation Index Differencing for Mapping of Rubber Plantations Using Landsat OLI Data

open access: yesRemote Sensing, 2015
Accurate and up-to-date mapping and monitoring of rubber plantations is challenging. In this study, we presented a simple method for rapidly and accurately mapping rubber plantations in the Xishuangbanna region of southwest China using phenology-based ...
Hui Fan   +3 more
doaj   +1 more source

Improvement in the Between-Class Variance Based on Lognormal Distribution for Accurate Image Segmentation

open access: yesEntropy, 2022
There are various distributions of image histograms where regions form symmetrically or asymmetrically based on the frequency of the intensity levels inside the image.
Walaa Ali H. Jumiawi, Ali El-Zaart
doaj   +1 more source

An Automatic Multilevel Image Thresholding Using Relative Entropy and Meta-Heuristic Algorithms

open access: yesEntropy, 2013
Multilevel thresholding has been long considered as one of the most popular techniques for image segmentation. Multilevel thresholding outputs a gray scale image in which more details from the original picture can be kept, while binary thresholding can ...
Josue R. Cuevas, Yun-Chia Liang
doaj   +1 more source

Examining Thresholding and Factors Impacting Snow Cover Detection Using Nighttime Images

open access: yesRemote Sensing, 2023
Nighttime remote sensing data from the Visible Infrared Imaging Radiometer suite day/night band (VIIRS DNB) enable snow cover detection from full moonlight reflection.
Renato Stopic, Eduardo Dias
doaj   +1 more source

Detection thresholding using mutual information [PDF]

open access: yes, 2006
In this paper, we introduce a novel non-parametric thresholding method that we term Mutual-Information Thresholding. In our approach, we choose the two detection thresholds for two input signals such that the mutual information between the thresholded ...
Ó Conaire, Ciarán   +4 more
core  

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro   +11 more
wiley   +1 more source

Image-Based Concrete Crack Detection Method Using the Median Absolute Deviation

open access: yesSensors
This paper proposes an innovative approach for detecting and quantifying concrete cracks using an adaptive threshold method based on Median Absolute Deviation (MAD) in images.
Juan Camilo Avendaño   +2 more
doaj   +1 more source

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