Package plugin

Class DescriptorParameters

java.lang.Object
plugin.DescriptorParameters
public class DescriptorParameters extends Object

  • Field Details

    • ransacParameters

      public static net.preibisch.mvrecon.process.interestpointregistration.pairwise.methods.ransac.RANSACParameters ransacParameters
      All RANSAC parameters (max epsilon, min inlier ratio, min num matches, iterations, multi-consensus, max trust, filter-RANSAC). Resolved from the GUI via the shared MVR helper PairwiseGUI.parseRansacQuery(ij.gui.GenericDialog) and consumed by Matching.computeRANSAC, which runs MVR's RANSAC.computeRANSAC.

    • maxIterations

      public static int maxIterations
      if there is a ROI designed, how many iterations

    • minInlierFactor

      public static float minInlierFactor
      How many times more inliers are required than the minimum number of correspondences required for the model. E.g. AffineModel3d needs at least 4 corresponences, so we reject if the number of inliers is smaller than minInlierFactor*4

    • minSimilarity

      public static double minSimilarity
      How similar two descriptors at least have to be

    • correspondenceDirectory

      public static String correspondenceDirectory
      Writes out all corresponding points of all pairs if this is set to a directory

    • brightestNPoints

      public static int brightestNPoints
      Just keep the brightest N points of all detections

    • minMaxType

      public static int minMaxType
      0 == compute per image (per timepoint/channel individually) 1 == compute global min/max 2 == define min/max

    • min

      public static double min

    • max

      public static double max

    • min2

      public static double min2

    • max2

      public static double max2

    • printAllSimilarities

      public static boolean printAllSimilarities

    • dimensionality

      public int dimensionality

    • sigma1

      public double sigma1

    • sigma2

      public double sigma2

    • threshold

      public double threshold

    • localization

      public int localization

    • lookForMaxima

      public boolean lookForMaxima

    • lookForMinima

      public boolean lookForMinima

    • model

      public mpicbg.models.AbstractModel<?> model

    • similarOrientation

      public boolean similarOrientation

    • numNeighbors

      public int numNeighbors

    • redundancy

      public int redundancy

    • significance

      public double significance

    • ransacThreshold

      public double ransacThreshold

    • channel1

      public int channel1

    • channel2

      public int channel2

    • minmax

      public float[] minmax
      The intensity min/max used to normalize the image(s) before DoG detection, resolved once by the dialog so it is not recomputed (e.g. the multi-threaded global computation runs only a single time). If null, each volume/slice is normalized by its own min/max (local, the default behaviour). Headless callers may leave this null and instead set the static minMaxType/min/max.

    • minmax2

      public float[] minmax2
      Like minmax, but for the second image of a pairwise (non-series) registration, so the two images can use different intensity ranges. Unused (left null) for series registration.

    • regularize

      public boolean regularize

    • fixFirstTile

      public boolean fixFirstTile

    • lambda

      public double lambda

    • globalOpt

      public int globalOpt

    • range

      public int range

    • directory

      public String directory

    • globalOptMaxError

      public double globalOptMaxError

    • globalOptMaxIterations

      public int globalOptMaxIterations

    • globalOptMaxPlateauwidth

      public int globalOptMaxPlateauwidth

    • reApply

      public boolean reApply

    • roi1

      public ij.gui.Roi roi1

    • roi2

      public ij.gui.Roi roi2

    • setPointsRois

      public boolean setPointsRois

    • silent

      public boolean silent

    • fuse

      public int fuse

    • interpolation

      public int interpolation

    • initialModel

      protected mpicbg.models.AbstractModel<?> initialModel

    • storePoints

      public boolean storePoints

    • storeModels

      public boolean storeModels

    • inliers

      public ArrayList<mpicbg.models.PointMatch> inliers

    • model1

      public mpicbg.models.InvertibleBoundable model1

    • model2

      public mpicbg.models.InvertibleBoundable model2

    • sigma

      public double[] sigma

    • region

      public int[] region

    • iterations

      public int iterations

  • Constructor Details

    • DescriptorParameters

      public DescriptorParameters()

  • Method Details