Balanced histogram thresholding: Difference between revisions

Revision as of 22:41, 3 July 2011

Revision as of 23:36, 8 January 2013

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In [[image processing]], the '''balanced histogram thresholding method''' (BHT),<ref>A. Anjos and H. Shahbazkia. Bi-Level Image Thresholding - A Fast Method. BIOSIGNALS 2008. Vol:2. P:70-76.</ref>, is a very simple method used for automatic image [[thresholding]]. Like [[Otsu's Method]]<ref>Nobuyuki Otsu (1979). "A threshold selection method from gray-level histograms". IEEE Trans. Sys., Man., Cyber. 9: 62–66.</ref> and the '''Iterative Selection Thesholding Method''',<ref>Ridler TW, Calvard S. (1978) Picture thresholding using an iterative selection method, IEEE Trans. System, Man and Cybernetics, SMC-8: 630-632.</ref>, this is a [[histogram]] based thresholding method. This approach assumes that the image is divided in two main classes: The '''background''' and the '''foreground'''. The '''BHT''' method tries to find the optimum threshold level that divides the histogram in two classes.

[[File:Lovely spider.jpeg|thumb | 200px | right | Original image.]]

[[File:Lovely spider BHT.jpeg|thumb | 200px | right | Thresholded image.]]

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==References==

{{reflist}}

==External links==

* [http://w3.ualg.pt/~aanjos/prototype/BHThresholding.jar ImageJ Plugin]

{{DEFAULTSORT:Balanced Histogram Thresholding}}