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Thresholding (image processing)

Known as: Adaptive thresholding, Local adaptive thresholding, Threshold 
Thresholding is the simplest method of image segmentation. From a grayscale image, thresholding can be used to create binary images .
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Related topics

Related topics

24 relations
Aphelion Imaging Software SuiteAugmented realityBackground subtractionBalanced histogram thresholding

Broader (1)

Image segmentation

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Multi-level image thresholding by synergetic differential evolution
Highly Cited
2010
Highly Cited
2010
Intrusion detection based on traffic analysis in wireless sensor networks
This paper proposes a lightweight, fast, and efficient traffic intensity-based intrusion detection method for wireless sensor… 
Highly Cited
2009
Highly Cited
2009
Eyelid and eyelash detection method in the normalized iris image using the parabolic Hough model and Otsu's thresholding method
Highly Cited
2008
Highly Cited
2008
Bi-Level Image Thresholding - A Fast Method
Abstract: Images with two dominant intensity levels are easily manually thresholded. For automatic image thresholding, most of… 
Highly Cited
2007
Highly Cited
2007
Real Time Traffic Light Recognition System for Color Vision Deficiencies
Color blindness can be challenging as well as cumbersome for a person especially when driving a vehicle. In this paper, a real… 
2006
2006
Adaptive Image Segmentation Based on Fast Thresholding and Image Merging
Image segmentation is the first essential and important step of low level vision. This paper proposes a novel algorithm for… 
Highly Cited
2002
Highly Cited
2002
1.6-b/s/Hz 6.4-Tb/s QPSK-OCDM/WDM (4 OCDM x 40 WDM x 40 Gb/s) transmission experiment using optical hard thresholding
A record of 1.6 b/s/Hz spectrum efficiency is achieved in an optical code-division-multiplexing (OCDM)/wavelength-division… 
Highly Cited
1998
Highly Cited
1998
Algorithms for the Detection of Su b-Pixel Targets in Multispectral Imagery
A new sub-pixel target detection algorithm is developed that integrates a linear mixing model (LMM) with the powefil "RX" anomaly… 
Highly Cited
1990
Highly Cited
1990
Fuzzy thresholding: mathematical framework, bound functions and weighted moving average technique
Highly Cited
1990
Highly Cited
1990
Nonlinear operators for improving texture segmentation based on features extracted by spatial filtering
An unsupervised texture segmentation system using texture features obtained from a combination of spatial filters and nonlinear… 
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