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 1998-03, Vol.7 (3), p.468-473
Main Authors: Chan, F.H.Y., Lam, F.K., Hui Zhu
Format: Article
Language:English
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
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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.
ISSN:1057-7149
1941-0042
DOI:10.1109/83.661196