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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
2012
Highly Cited
2012
Genetic programming-based feature transform and classification for the automatic detection of pulmonary nodules on computed tomography images
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
2002
Highly Cited
2002
A statistic approach to the detection of human faces in color nature scene
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
1999
Highly Cited
1999
Solving Hyperbolic PDEs Using Interpolating Wavelets
A method is presented for adaptively solving hyperbolic PDEs. The method is based on an interpolating wavelet transform using… 
Highly Cited
1999
Highly Cited
1999
An improved Bayesian decision theoretic approach for land mine detection
A rigorous signal detection theoretic analysis is used to improve detectability of land mines. The development is performed for… 
Highly Cited
1998
Highly Cited
1998
Automatic detection of human faces in natural scene images by use of a skin color model and of invariant moments
We use a skin color model based on the Muhulanobis metric and a shape analysis based on invariant moments to automatically detect… 
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
1985
Highly Cited
1985
Physician's Workstation with Real-Time Performance
A general framework for real-time manipulation-of 3D objects from-medical data sets promises physicians a powerful new tool. 
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