Adaptive thresholding by variational method

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 autom...

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Bibliographic Details
Published in:	IEEE transactions on image processing Vol. 7; no. 3; pp. 468 - 473
Main Authors:	Chan, F.H.Y., Lam, F.K., Hui Zhu
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01-03-1998 Institute of Electrical and Electronics Engineers
Subjects:	Applied sciences Exact sciences and technology Filtering algorithms Heuristic algorithms Histograms Image processing Image segmentation Information, signal and communications theory Interpolation Lighting Pixel Signal processing Telecommunications and information theory Segmentation Image processing Adaptive method Variational principle Threshold
Online Access:	Get full text
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Summary:	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.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 SourceType-Other Sources-1 content type line 63 ObjectType-Correspondence-1
ISSN:	1057-7149 1941-0042
DOI:	10.1109/83.661196