Uses of Class
plugin.DescriptorParameters
Packages that use DescriptorParameters
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Uses of DescriptorParameters in plugin
Methods in plugin that return DescriptorParametersModifier and TypeMethodDescriptionprotected DescriptorParametersDescriptor_based_registration.getParameters(ij.ImagePlus imp1, ij.ImagePlus imp2, int dimensionality) Ask for all other required parameters ..protected DescriptorParametersDescriptor_based_series_registration.getParameters(ij.ImagePlus imp, int dimensionality) Ask for all other required parameters ..Methods in plugin with parameters of type DescriptorParametersModifier and TypeMethodDescriptionstatic booleanDescriptor_based_series_registration.getGaussianParameters(int dimensionality, DescriptorParameters params) -
Uses of DescriptorParameters in process
Methods in process with parameters of type DescriptorParametersModifier and TypeMethodDescriptionstatic intMatching.descriptorBasedRegistration(ij.ImagePlus imp1, ij.ImagePlus imp2, DescriptorParameters params) Matching.descriptorBasedStackRegistration(ij.ImagePlus imp, DescriptorParameters params) static Vector<ComparePair> Matching.descriptorMatching(ArrayList<ArrayList<mpicbg.imglib.algorithm.scalespace.DifferenceOfGaussianPeak<mpicbg.imglib.type.numeric.real.FloatType>>> peaks, int numImages, DescriptorParameters params, float zStretching) static ArrayList<mpicbg.imglib.algorithm.scalespace.DifferenceOfGaussianPeak<mpicbg.imglib.type.numeric.real.FloatType>> Matching.extractCandidates(ij.ImagePlus imp, int channel, int timepoint, DescriptorParameters params, float[] minmax) protected static Vector<ComparePair> Matching.getComparePairs(DescriptorParameters params, int numImages) Matching.globalOptimization(Vector<ComparePair> pairs, int numImages, DescriptorParameters params) protected static mpicbg.models.Model<?> Matching.pairwiseMatching(ArrayList<mpicbg.models.PointMatch> finalInliers, ArrayList<mpicbg.imglib.algorithm.scalespace.DifferenceOfGaussianPeak<mpicbg.imglib.type.numeric.real.FloatType>> peaks1, ArrayList<mpicbg.imglib.algorithm.scalespace.DifferenceOfGaussianPeak<mpicbg.imglib.type.numeric.real.FloatType>> peaks2, float zStretching1, float zStretching2, DescriptorParameters params, String explanation) protected static intMatching.performIteration(ArrayList<mpicbg.models.InvertibleBoundable> lastModels, ArrayList<ArrayList<mpicbg.imglib.algorithm.scalespace.DifferenceOfGaussianPeak<mpicbg.imglib.type.numeric.real.FloatType>>> peaksComplete, int numImages, DescriptorParameters params, float zStretching) Computes one iteration and updates the lastModels ArrayList with the new modelsprotected static voidMatching.writePoints(ArrayList<mpicbg.models.PointMatch> finalInliers, DescriptorParameters params, mpicbg.models.Model<?> finalModel, PrintWriter out)