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Mixture Modeling Thresholding

1,462 bytes added, 09:46, 17 September 2008
New page: {{Infobox Plugin | software = ImageJ | name = Mixture Modeling | author = Christopher Mei, Maxime Dauphin | filename = [http:...
{{Infobox Plugin
| software = ImageJ
| name = Mixture Modeling
| author = Christopher Mei, Maxime Dauphin
| filename = [http://rsb.info.nih.gov/ij/plugins/download/jars/Mixture_Modeling.jar Mixture_Modeling.jar] (18,454 Bytes)
| source = in .jar file
| released = 15 December 2003
| status = unknown
| category = [[:Category:Segmentation|Segmentation]]
| website = [http://rsb.info.nih.gov/ij/plugins/mixture-modeling.html]
}}

== Purpose ==

This plugin automatically threshold an image using the Mixture Modeling algorithm. It is an histogram-based technique that assumes that the histogram distribution is represented by two Gaussian curves.

== Documentation ==

This algorithm separates the histogram of an image into two classes using a Gaussian model. It then calculates the image threshold as the intersection of these two Gaussians. This thresholding technique has the advantage of finding a threshold that is in certain cases closer to real world data. The Gaussian parameters can also be used to describe the two regions obtained.

The plugin returns a histogram with the two Gaussians, the parameters obtained (average, standard deviation, threshold) and the thresholded image.

It has the same drawbacks as the [[Otsu Thresholding]] plugin (by the same author), which is that it behaves annoyingly with stacks.
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