Difference between revisions of "Adaptive Thresholding"
(→'''Global Value Adaptive Thresholding''': added section: Maximum Entropy Thresholding) |
(→'''Global Value Adaptive Thresholding''': added section: Mixture Model Thresholding) |
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Once again, I've tried to analyze the source code of this image filter in order to figure how the algorithm its using works. | Once again, I've tried to analyze the source code of this image filter in order to figure how the algorithm its using works. | ||
--[[User:DavidF|David]] 21:27, 7 Nov 2005 (EST) | --[[User:DavidF|David]] 21:27, 7 Nov 2005 (EST) | ||
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| + | === Mixture Model Thresholding === | ||
| + | * [http://rsb.info.nih.gov/ij/plugins/mixture-modeling.html Sample Image Filter] | ||
| + | ** [http://rsb.info.nih.gov/ij/plugins/download/jars/Mixture_Modeling.jar Original Source Code] | ||
== '''Local Value Adaptive Thresholding''' == | == '''Local Value Adaptive Thresholding''' == | ||
Revision as of 22:29, 7 November 2005
Adaptive thresholding is an image segmentation algorithm that appears quite resistent to varying lighting conditions.
Contents
Global Value Adaptive Thresholding
(useful for barrel-in-sunlight detection)
Otsu Thresholding
I've been trying to analyze the source code of this image filter (not written by me) in order to figure out how the Otsu Thresholding algorithm works. I've had limited success, in that I have completely figured out how GrayLevelClass.java works. However I have not been able to decode OtsuThresholding.java which appears to contain the essential details specific to the Otsu algorithm. --David 21:14, 7 Nov 2005 (EST)
Maximum Entropy Thresholding
Once again, I've tried to analyze the source code of this image filter in order to figure how the algorithm its using works. --David 21:27, 7 Nov 2005 (EST)
Mixture Model Thresholding
Local Value Adaptive Thresholding
(useful for line-on-grass detection)
