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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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24 relations
Aphelion Imaging Software Suite
Augmented reality
Background subtraction
Balanced histogram thresholding
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Broader (1)
Image segmentation
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2009
2009
An Optimal Image Thresholding Using Genetic Algorithm
Xiaobing Ren
International Forum on Computer Science…
2009
Corpus ID: 16620221
Image segmentation plays an important and basic role in image processing and pattern recognition. Its purpose is to separate…
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2006
2006
Adaptive Image Segmentation Based on Fast Thresholding and Image Merging
Ye Zhang
,
H. Qu
,
Yanjie Wang
International Symposium on Information…
2006
Corpus ID: 18464920
Image segmentation is the first essential and important step of low level vision. This paper proposes a novel algorithm for…
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2006
2006
Edge Detection Based on Mathematical Morphology and Iterative Thresholding
Xiangzhi Bai
,
Fugen Zhou
International Conference on Computational…
2006
Corpus ID: 18759140
Edge detection is a crucial and basic tool in image segmentation. The key of edge detection in gray image is to detect more edge…
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Highly Cited
2004
Highly Cited
2004
Highly spectral-efficient optical code-division multiplexing transmission system
H. Sotobayashi
,
W. Chujo
,
Ken-ichi Kitayama
IEEE Journal of Selected Topics in Quantum…
2004
Corpus ID: 39592108
A highly spectral-efficient transmission system based on optical code-division multiplexing (OCDM) technique is investigated. To…
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2001
2001
Adaptive thresholding of document images based on Laplacian sign
S. Rodtook
,
Y. Rangsanseri
Proceedings of the International Conference on…
2001
Corpus ID: 43255198
We present a new technique for document image binarization to manage different situations in an image. The problems of image…
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2001
2001
Robust facial feature point detection under nonlinear illuminations
Jianhuang Lai
,
P. Yuen
,
Wensheng Chen
,
S. Lao
,
M. Kawade
Proceedings IEEE ICCV Workshop on Recognition…
2001
Corpus ID: 61287267
Addresses the problem of facial feature point detection under different lighting conditions. Our goal is to develop an efficient…
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2000
2000
Using service models for management of Internet services
Deborah L. Caswell
,
S. Ramanathan
IEEE Journal on Selected Areas in Communications
2000
Corpus ID: 16000735
As Internet services grow in complexity, Internet Service Providers (ISPs) are finding out that the ad hoc methods that they have…
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Highly Cited
1997
Highly Cited
1997
The performance evaluation of thresholding algorithms for optical character recognition
A. T. Abak
,
U. Baris
,
B. Sankur
Proceedings of the Fourth International…
1997
Corpus ID: 40492652
The paper presents performance evaluation of thresholding algorithms in the context of document analysis and character…
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Review
1991
Review
1991
A critical overview of neural network pattern classifiers
Richard P. Lippmann
Neural Networks for Signal Processing Proceedings…
1991
Corpus ID: 15297702
A taxonomy of neural network pattern classifiers is presented which includes four major groupings. Global discriminant…
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Review
1988
Review
1988
Automatic Detection, Tracking, and Sensor Integration
G. Trunk
1988
Corpus ID: 15668687
Abstract : This report surveys the state of the art of automatic detection, tracking, and sensor integration. In the area of…
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