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Adaptive thresholding by variational method

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 1998 China (People's Republic of) Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Image Processing, volume 7, pages 468-473 (issn: 1057-7149, Copyright policy )
Authors: Chan, FHY; Lam, FK; Zhu, H;

doi: 10.1109/83.661196

pmid: 18276266

handle: 10722/42774

Adaptive thresholding by variational method

Abstract

When using thresholding method to segment an image, a fixed threshold is not suitable if the background is uneven. Here, we propose a new adaptive thresholding method using variational theory. The method requires only one parameter to be selected and the adaptive threshold surface can be found automatically from the original image.

Country
China (People's Republic of)
Related Organizations
Keywords

Image segmentation, Adaptive thresholding, Variational method

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    Impact byBIP!
    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 133
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
133
Top 1%
Top 1%
Top 10%
Green
hybrid