Package org.opencv.ximgproc
Class AdaptiveManifoldFilter
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- org.opencv.core.Algorithm
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- org.opencv.ximgproc.AdaptiveManifoldFilter
 
 
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 public class AdaptiveManifoldFilter extends Algorithm Interface for Adaptive Manifold Filter realizations. For more details about this filter see CITE: Gastal12 and References_. Below listed optional parameters which may be set up with Algorithm::set function.- member double sigma_s = 16.0 Spatial standard deviation.
- member double sigma_r = 0.2 Color space standard deviation.
- member int tree_height = -1 Height of the manifold tree (default = -1 : automatically computed).
- member int num_pca_iterations = 1 Number of iterations to computed the eigenvector.
- member bool adjust_outliers = false Specify adjust outliers using Eq. 9 or not.
- member bool use_RNG = true Specify use random number generator to compute eigenvector or not.
 
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Constructor SummaryConstructors Modifier Constructor Description protectedAdaptiveManifoldFilter(long addr)
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Method SummaryAll Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static AdaptiveManifoldFilter__fromPtr__(long addr)voidcollectGarbage()static AdaptiveManifoldFiltercreate()voidfilter(Mat src, Mat dst)Apply high-dimensional filtering using adaptive manifolds.voidfilter(Mat src, Mat dst, Mat joint)Apply high-dimensional filtering using adaptive manifolds.protected voidfinalize()- 
Methods inherited from class org.opencv.core.Algorithmclear, empty, getDefaultName, getNativeObjAddr, save
 
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Method Detail- 
__fromPtr__public static AdaptiveManifoldFilter __fromPtr__(long addr) 
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createpublic static AdaptiveManifoldFilter create() 
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collectGarbagepublic void collectGarbage() 
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filterpublic void filter(Mat src, Mat dst, Mat joint) Apply high-dimensional filtering using adaptive manifolds.- Parameters:
- src- filtering image with any numbers of channels.
- dst- output image.
- joint- optional joint (also called as guided) image with any numbers of channels.
 
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filterpublic void filter(Mat src, Mat dst) Apply high-dimensional filtering using adaptive manifolds.- Parameters:
- src- filtering image with any numbers of channels.
- dst- output image.
 
 
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