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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Topic mentions per year

Topic mentions per year

1970-2018
0500100019702018

Papers overview

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Highly Cited
2009
Highly Cited
2009
Many image enhancement and thresholding techniques make use of spatial neighbourhood information to boost belief in extended… (More)
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Highly Cited
2007
Highly Cited
2007
Image thresholding is a common task in many computer vision and graphics applications. The goal of thresholding an image is to… (More)
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Highly Cited
2005
Highly Cited
2005
Image thresholding is a necessary task in some image processing applications. However, due to disturbing factors, e.g. non… (More)
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Highly Cited
2004
Highly Cited
2004
Image analysis usually refers to processing of images with the goal of finding objects presented in the image. Image segmentation… (More)
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Highly Cited
2003
Highly Cited
2003
We consider linear inverse problems where the solution is assumed to have a sparse expansion on an arbitrary preassigned… (More)
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Highly Cited
2003
Highly Cited
2003
In this paper, we propose a general framework of adaptive local thresholding based on a verification-based multithreshold probing… (More)
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Highly Cited
2000
Highly Cited
2000
The first part of this paper proposes an adaptive, data-driven threshold for image denoising via wavelet soft-thresholding. The… (More)
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Highly Cited
1999
Highly Cited
1999
This paper presents a new moment-preserving thresholding technique, called the binary quaternion-moment-preserving (BQMP… (More)
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Highly Cited
1998
Highly Cited
1998
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and… (More)
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Highly Cited
1979
Highly Cited
1979
Chow and Kaneko proposed a method of variable thresholding in which an image is divided into windows ; thresholds are selected… (More)
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