Individual Measurements

Analysis algorithms applying a measurement on each label of the input image.

VolumeFractionByLabel: Computes the volume fraction occupied by each object or region of a segmented image.
LabelCountByRegion: Computes, for each region of a first label image, the number of objects contained in a second label image.
VolumeFractionByRegion: Computes, for each region of a first label image, the intersection ratio with particles of a second label image.
LabelAnalysis: Computes a set of measurements on objects defined in a label image.
LabelFiltering: Removes objects from a label image based on measurement criteria.
LabelFilteringAnalysis: Computes measurements on objects and filters them from a label image.
FilterAnalysis: Filters objects from an analysis object.
MeasurementToImage: Replaces all labels of the input image by the result of an individual measurement.
FilterByMeasurement: Preserves a predefined number of objects according to a selected measurement.
SieveLabeling: Produces a new label image by assigning a same label to objects belonging to a same class of a user-defined measurement.

For an introduction: Image Analysis

Most of these algorithms have a field to select one or several input measurements.

Filtering objects in an image

The object filtering algorithms remove or preserve shapes from a binary or label image according to measurement criteria.

The following algorithms filter an image with a criterion defined in a formula:

For example, to define a filter preserving particles having a diameter lower than 50, in the coordinate system defined by the image calibration, in C#:

      labelFilter.inputFilter = NativeMeasurements.EqDiameter.name + "< 50"

Custom Formula syntax

The formula used by object filtering algorithms must be written in accordance with the custom formula syntax. The validity of the formula can be verified with the checkFilterFormula method.