Examples with SortMethod uk.ac.sussex.gdsc.ij.foci.FindFociProcessorOptions.SortMethod used on opensource projects

Example 1 with SortMethod

use of uk.ac.sussex.gdsc.ij.foci.FindFociProcessorOptions.SortMethod in project gdsc by aherbert.

the class FindFociOptimiser_PlugIn method createSortArray.

private SortMethod[] createSortArray() {
    final double[] values = splitValues(settings.sortMethod);
    final IntOpenHashSet set = new IntOpenHashSet(values.length);
    for (final double v : values) {
        final int method = (int) v;
        if (method >= 0 && method <= SortMethod.AVERAGE_INTENSITY_MINUS_MIN.ordinal()) {
            set.add(method);
        }
    }
    if (set.isEmpty()) {
        ImageJUtils.log("%s Warning : Sort method : No values, setting to default %s", TITLE, SortMethod.INTENSITY);
        // Default
        return new SortMethod[] { SortMethod.INTENSITY };
    }
    final SortMethod[] array = new SortMethod[set.size()];
    final int[] index = { 0 };
    set.forEach(method -> {
        array[index[0]++] = SortMethod.fromOrdinal(method);
    });
    Arrays.sort(array, (o1, o2) -> Integer.compare(o1.ordinal(), o2.ordinal()));
    return array;
}

Example 2 with SortMethod

use of uk.ac.sussex.gdsc.ij.foci.FindFociProcessorOptions.SortMethod in project gdsc by aherbert.

the class FindFociOptimiser_PlugIn method runOptimiser.

/**
 * Enumerate the parameters for FindFoci on the provided image.
 *
 * <p>Returns null if the image is invalid, there are no ROI points inside the mask, the algorithm
 * was cancelled or cannot produce results.
 *
 * @param imp The image
 * @param mask The mask
 * @param ticker the ticker
 * @return The results
 */
@Nullable
private OptimiserResult runOptimiser(ImagePlus imp, ImagePlus mask, Ticker ticker) {
    if (invalidImage(imp)) {
        return null;
    }
    final AssignedPoint[] roiPoints = extractRoiPoints(imp, mask);
    if (roiPoints.length == 0) {
        IJ.showMessage("Error", "Image must have a point ROI or corresponding ROI file");
        return null;
    }
    final ArrayList<Result> results = new ArrayList<>(combinations);
    // Set the threshold for assigning points matches as a fraction of the image size
    final double distanceThreshold = getDistanceThreshold(imp, settings.matchSearchMethod, settings.matchSearchDistance);
    final ToDoubleBiFunction<Coordinate, Coordinate> distanceFunction = CoordinateUtils.getSquaredDistanceFunction(imp.getCalibration(), is3D(roiPoints));
    // The stopwatch for the total run-time
    final StopWatch sw = new StopWatch();
    // The total time for analysis
    long analysisTime = 0;
    final FindFociBaseProcessor ff = new FindFoci_PlugIn().createFindFociProcessor(imp);
    final FindFociProcessorOptions processorOptions = new FindFociProcessorOptions(true);
    // Only one supported peak method.
    // The parameter values for absolute height and relative height are on a different scale
    // and using both methods is not yet supported.
    processorOptions.setPeakMethod(settings.peakMethod);
    processorOptions.setMaxPeaks(settings.maxPeaks);
    int id = 0;
    for (int blurCount = 0; blurCount < blurArray.length; blurCount++) {
        final double blur = blurArray[blurCount];
        processorOptions.setGaussianBlur(blur);
        final StopWatch sw0 = new StopWatch();
        final ImagePlus imp2 = ff.blur(imp, blur);
        sw0.stop();
        // Iterate over the options
        int thresholdMethodIndex = 0;
        for (int b = 0; b < backgroundMethodArray.length; b++) {
            processorOptions.setBackgroundMethod(backgroundMethodArray[b]);
            if (backgroundMethodArray[b] == BackgroundMethod.AUTO_THRESHOLD) {
                processorOptions.setThresholdMethod(thresholdMethodArray[thresholdMethodIndex++]);
            }
            final StatisticsMethod[] statisticsMethods = backgroundMethodHasStatisticsMode(backgroundMethodArray[b]) ? statisticsMethodArray : new StatisticsMethod[] { StatisticsMethod.ALL };
            for (final StatisticsMethod statisticsMethod : statisticsMethods) {
                processorOptions.setStatisticsMethod(statisticsMethod);
                final StopWatch sw1 = sw0.create();
                final FindFociInitResults initResults = ff.findMaximaInit(imp, imp2, mask, processorOptions);
                sw1.stop();
                if (initResults == null) {
                    return null;
                }
                FindFociInitResults searchInitArray = null;
                for (double backgroundParameter = backgroundParameterMinArray[b]; backgroundParameter <= backgroundParameterMax; backgroundParameter += backgroundParameterInterval) {
                    // Use zero when there is no parameter
                    processorOptions.setBackgroundParameter((backgroundMethodHasParameter(backgroundMethodArray[b])) ? backgroundParameter : 0);
                    // Log on first blur iteration
                    boolean logBackground = (blurCount == 0) && !multiMode;
                    for (int s = 0; s < searchMethodArray.length; s++) {
                        processorOptions.setSearchMethod(searchMethodArray[s]);
                        for (double searchParameter = searchParameterMinArray[s]; searchParameter <= searchParameterMax; searchParameter += searchParameterInterval) {
                            // Use zero when there is no parameter
                            processorOptions.setSearchParameter((searchMethodHasParameter(searchMethodArray[s])) ? searchParameter : 0);
                            searchInitArray = ff.copyForStagedProcessing(initResults, searchInitArray);
                            final StopWatch sw2 = sw1.create();
                            final FindFociSearchResults searchArray = ff.findMaximaSearch(searchInitArray, processorOptions);
                            sw2.stop();
                            if (searchArray == null) {
                                return null;
                            }
                            FindFociInitResults mergeInitArray = null;
                            if (logBackground) {
                                // Log the background level on the first occurrence
                                final float backgroundLevel = searchInitArray.stats.background;
                                logBackground = false;
                                IJ.log(String.format("Background level - %s %s: %s = %g", backgroundMethodArray[b].getDescription(), backgroundMethodHasStatisticsMode(backgroundMethodArray[b]) ? "(" + statisticsMethod + ") " : "", ((backgroundMethodHasParameter(backgroundMethodArray[b])) ? IJ.d2s(backgroundParameter, 2) : processorOptions.getThresholdMethod().getDescription()), backgroundLevel));
                            }
                            // Note: Currently only 1 PeakMethod is supported so there is no iteration over this
                            for (double peakParameter = peakParameterMin; peakParameter <= peakParameterMax; peakParameter += peakParameterInterval) {
                                processorOptions.setPeakParameter(peakParameter);
                                final StopWatch sw3 = sw2.create();
                                final FindFociMergeTempResults mergePeakResults = ff.findMaximaMergePeak(searchInitArray, searchArray, processorOptions);
                                sw3.stop();
                                for (int minSize = minSizeMin; minSize <= minSizeMax; minSize += minSizeInterval) {
                                    processorOptions.setMinSize(minSize);
                                    final StopWatch sw4 = sw3.create();
                                    final FindFociMergeTempResults mergeSizeResults = ff.findMaximaMergeSize(searchInitArray, mergePeakResults, processorOptions);
                                    sw4.stop();
                                    for (final EnumSet<AlgorithmOption> options : optionsArray) {
                                        processorOptions.setOptions(options);
                                        mergeInitArray = ff.copyForStagedProcessing(searchInitArray, mergeInitArray);
                                        final StopWatch sw5 = sw4.create();
                                        final FindFociMergeResults mergeArray = ff.findMaximaMergeFinal(mergeInitArray, mergeSizeResults, processorOptions);
                                        sw5.stop();
                                        if (mergeArray == null) {
                                            return null;
                                        }
                                        for (final SortMethod sortMethod : sortMethodArray) {
                                            processorOptions.setSortMethod(sortMethod);
                                            for (int c = 0; c < centreMethodArray.length; c++) {
                                                processorOptions.setCentreMethod(centreMethodArray[c]);
                                                for (double centreParameter = centreParameterMinArray[c]; centreParameter <= centreParameterMaxArray[c]; centreParameter += centreParameterIntervalArray[c]) {
                                                    processorOptions.setCentreParameter(centreParameter);
                                                    final StopWatch sw6 = sw5.create();
                                                    final FindFociResults peakResults = ff.findMaximaResults(mergeInitArray, mergeArray, processorOptions);
                                                    final long time = sw6.stop();
                                                    ticker.tick();
                                                    if (peakResults != null) {
                                                        // Get the results
                                                        // The analysis time is not included in the speed-up factor
                                                        final long start = System.nanoTime();
                                                        final Parameters runOptions = new Parameters(processorOptions);
                                                        final Result result = analyseResults(id, roiPoints, peakResults.results, distanceThreshold, runOptions, time, settings.beta, distanceFunction);
                                                        results.add(result);
                                                        analysisTime += System.nanoTime() - start;
                                                    }
                                                    id++;
                                                    if (IJ.escapePressed()) {
                                                        return null;
                                                    }
                                                }
                                            }
                                        }
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
    sw.stop();
    // All possible results sort methods are highest first
    sortResults(results, settings.resultsSortMethod);
    return new OptimiserResult(results, sw.getTime(), analysisTime);
}