Examples with ChannelThreshold qupath.lib.analysis.images.ContourTracing.ChannelThreshold used on opensource projects

Example 1 with ChannelThreshold

use of qupath.lib.analysis.images.ContourTracing.ChannelThreshold in project qupath by qupath.

the class PixelClassifierTools method createObjectsFromPixelClassifier.

/**
 * Create objects based upon an {@link ImageServer} that provides classification or probability output.
 *
 * @param server image server providing pixels from which objects should be created
 * @param labels classification labels; if null, these will be taken from ImageServer#getMetadata() and all non-ignored classifications will be used.
 * 		   Providing a map makes it possible to explicitly exclude some classifications.
 * @param roi region of interest in which objects should be created (optional; if null, the entire image is used)
 * @param creator function to create an object from a ROI (e.g. annotation or detection)
 * @param minArea minimum area for an object fragment to retain, in calibrated units based on the pixel calibration
 * @param minHoleArea minimum area for a hole to fill, in calibrated units based on the pixel calibration
 * @param doSplit if true, split connected regions into separate objects
 * @return the objects created within the ROI
 * @throws IOException
 */
public static Collection<PathObject> createObjectsFromPixelClassifier(ImageServer<BufferedImage> server, Map<Integer, PathClass> labels, ROI roi, Function<ROI, ? extends PathObject> creator, double minArea, double minHoleArea, boolean doSplit) throws IOException {
    // We need classification labels to do anything
    if (labels == null)
        labels = parseClassificationLabels(server.getMetadata().getClassificationLabels(), false);
    if (labels == null || labels.isEmpty())
        throw new IllegalArgumentException("Cannot create objects for server - no classification labels are available!");
    ChannelThreshold[] thresholds = labels.entrySet().stream().map(e -> ChannelThreshold.create(e.getKey())).toArray(ChannelThreshold[]::new);
    if (roi != null && !roi.isArea()) {
        logger.warn("Cannot create objects for non-area ROIs");
        return Collections.emptyList();
    }
    Geometry clipArea = roi == null ? null : roi.getGeometry();
    // Identify regions for selected ROI or entire image
    // This is a list because it might need to handle multiple z-slices or timepoints
    List<RegionRequest> regionRequests;
    if (roi != null) {
        var request = RegionRequest.createInstance(server.getPath(), server.getDownsampleForResolution(0), roi);
        regionRequests = Collections.singletonList(request);
    } else {
        regionRequests = RegionRequest.createAllRequests(server, server.getDownsampleForResolution(0));
    }
    double pixelArea = server.getPixelCalibration().getPixelWidth().doubleValue() * server.getPixelCalibration().getPixelHeight().doubleValue();
    double minAreaPixels = minArea / pixelArea;
    double minHoleAreaPixels = minHoleArea / pixelArea;
    // Create output array
    var pathObjects = new ArrayList<PathObject>();
    // Loop through region requests (usually 1, unless we have a z-stack or time series)
    for (RegionRequest regionRequest : regionRequests) {
        Map<Integer, Geometry> geometryMap = ContourTracing.traceGeometries(server, regionRequest, clipArea, thresholds);
        var labelMap = labels;
        pathObjects.addAll(geometryMap.entrySet().parallelStream().flatMap(e -> geometryToObjects(e.getValue(), creator, labelMap.get(e.getKey()), minAreaPixels, minHoleAreaPixels, doSplit, regionRequest.getPlane()).stream()).collect(Collectors.toList()));
    }
    pathObjects.sort(DefaultPathObjectComparator.getInstance());
    return pathObjects;
}