annotool.gui.model
Class ROIAnnotator

java.lang.Object
  annotool.gui.model.ROIAnnotator

public class ROIAnnotator
extends java.lang.Object

ROI annotator executes the algorithms in ROI annotation mode.

Constructor Summary

ROIAnnotator(int interval, int paddingMode, java.lang.String channel, java.util.ArrayList<ChainModel> chainModels, int[] selectedImages, java.lang.String exportDir, boolean isExport, boolean isMaximaOnly, ImageReadyPanel pnlImages)

Method Summary

void	exportPrediction(int startCol, int endCol, int startRow, int endRow, int startSlice, int endSlice, int roiWidth, int roiHeight, int roiDepth, int[] predictions, java.lang.String baseFile, java.lang.String classKey, int width, int height, int stackSize, boolean[] isMaxima)
void	markResultsOnImage(ij.ImagePlus imp, int[] predictions, int roiWidth, int roiHeight, boolean[] isMaxima, int startCol, int startRow, int endCol, int endRow)
float[]	selectGivenIndices(float[] features, int[] indices) Selects the features based on pre-determined set of indices for a single image

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ROIAnnotator

public ROIAnnotator(int interval,
                    int paddingMode,
                    java.lang.String channel,
                    java.util.ArrayList<ChainModel> chainModels,
                    int[] selectedImages,
                    java.lang.String exportDir,
                    boolean isExport,
                    boolean isMaximaOnly,
                    ImageReadyPanel pnlImages)

Parameters:

size - : ROI Window Size

interval - : Increment for sliding ROI window over the target image

paddingMode - : Determines the mode used to pad the image for annotation near the image edges. Modes - ROIParameterPanel.NONE, ROIParameterPanel.SYMMETRIC

channel - : Channel information of the image

selectedImages: - List of indices for images selected for annotations

Method Detail

selectGivenIndices

public float[] selectGivenIndices(float[] features,
                                  int[] indices)

Selects the features based on pre-determined set of indices for a single image

Parameters:

features -

indices -

Returns:

Selected features

markResultsOnImage

public void markResultsOnImage(ij.ImagePlus imp,
                               int[] predictions,
                               int roiWidth,
                               int roiHeight,
                               boolean[] isMaxima,
                               int startCol,
                               int startRow,
                               int endCol,
                               int endRow)

exportPrediction

public void exportPrediction(int startCol,
                             int endCol,
                             int startRow,
                             int endRow,
                             int startSlice,
                             int endSlice,
                             int roiWidth,
                             int roiHeight,
                             int roiDepth,
                             int[] predictions,
                             java.lang.String baseFile,
                             java.lang.String classKey,
                             int width,
                             int height,
                             int stackSize,
                             boolean[] isMaxima)