Contains measurements expressing color or gray level statistical attributes, using the label input image as a mask.
These measurements are based on the intensity input image. Using them with a label or binary intensity image
is not relevant, except for the IntensityIntegral and SquareIntensityIntegral measurements, which
represent a voxel count when the intensity image is binary.
When applied to a color or multispectral intensity image, these measurements return one value for each
intensity channel.
Object members
Measurement name
Description
Element type
Indexing
Physical Information
IntensityMinimum
The minimum pixel intensity of the particle.
Floating point
[label, channel]
INTENSITY
IntensityMaximum
The maximum pixel intensity of the particle.
Floating point
[label, channel]
INTENSITY
IntensityMean
The average pixel intensity value.
Floating point
[label, channel]
INTENSITY
IntensityStandardDeviation
The standard deviation of the pixel intensities.
Floating point
[label, channel]
INTENSITY
IntensityMedian
The median pixel intensity within the particle. The median can be computed only on particles having less than 65535 different intensities. When more intensities are encountered, the median value is assigned to 3.402823E38.
Floating point
[label, channel]
INTENSITY
IntensityMajority
The most represented pixel intensity value inside the particle. It uses the nearest value with the average intensity of the particle if several intensities met this criterion. The majority can be computed only on particles having less than 65535 different intensities. When more intensities are encountered, the majority value is assigned to 3.402823E38.
Floating point
[label, channel]
INTENSITY
IntensityCount
The number of different values in the intensity image associated to each object of the label image. It is particularly useful for counting the number of markers in an image under a mask defined in another image. The measurement can be computed only on particles having less than 65535 different intensities. When more intensities are encountered, the value is assigned to -2.
Integer
[label]
COUNT
IntensityIntegral
The sum of the pixel intensity values. If the intensity image is the binary segmented image, it represents the pixel number of the object.
Floating point
[label, channel]
INTENSITY
IntensitySquareIntegral
The sum of the squares of pixel intensity values.
Floating point
[label, channel]
SQUARE_INTENSITY
Object methods
Method
Description
void toDataFrame()
Convert the measurement to an IOLink.DataFrame
One or more "index" columns will be added at the beginning of the dataframe to identify
the different elements. For instance:
index [label]: The index of the label. This index systematically starts from 0
and is the label value minus 1 when all label values are represented.
When there are some missing label values, the corresponding label value cannot be
directly deduced from this index.
index [time]: The sequence index of a time series or of an image stack.
Method
Description
void ToDataFrame()
Convert the measurement to an IOLink.DataFrame
One or more "index" columns will be added at the beginning of the dataframe to identify
the different elements. For instance:
index [label]: The index of the label. This index systematically starts from 0
and is the label value minus 1 when all label values are represented.
When there are some missing label values, the corresponding label value cannot be
directly deduced from this index.
index [time]: The sequence index of a time series or of an image stack.
Method
Description
void to_data_frame()
Convert the measurement to an IOLink.DataFrame
One or more "index" columns will be added at the beginning of the dataframe to identify
the different elements. For instance:
index [label]: The index of the label. This index systematically starts from 0
and is the label value minus 1 when all label values are represented.
When there are some missing label values, the corresponding label value cannot be
directly deduced from this index.
index [time]: The sequence index of a time series or of an image stack.