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OIV.ImageViz.Engines.ImageAnalysis.Statistics Namespace

The Statistics category contains analysis engines applying an intensity- based measurement globally to the input image.

Classes
  ClassDescription
Public classSoAutoThresholdingQuantification
Public classSoAutoThresholdingQuantificationSbAutoThresholdingDetail

Results details of threshold by automatic segmentation.

Public classSoCompareImageQuantification

OIV.ImageViz.Engines.ImageAnalysis.Statistics.SoCompareImageQuantification engine applies a comparison test between two images.

Public classSoCompareValueQuantification

OIV.ImageViz.Engines.ImageAnalysis.Statistics.SoCompareValueQuantification engine applies a comparison test between an image and a constant value.

Public classSoCooccurrenceQuantification2d

OIV.ImageViz.Engines.ImageAnalysis.Statistics.SoCooccurrenceQuantification2d engine provides texture indicators based on the co-occurrence matrix computation.

Public classSoIntensityExtremaQuantification
Public classSoIntensityStatisticsQuantification
Public classSoLocalMaximaQuantification
Public classSoLocalMaximaQuantificationSbLocalMaximaDetail
Public classSoMaskedStatisticsQuantification

OIV.ImageViz.Engines.ImageAnalysis.Statistics.SoMaskedStatisticsQuantification engine advanced basic statistics of an image within a mask.

Public classSoMeasureGaussianNoiseQuantification

OIV.ImageViz.Engines.ImageAnalysis.Statistics.SoMeasureGaussianNoiseQuantification engine computes an estimation of a gaussian noise standard deviation.

Structures
Enumerations
Remarks

For an introduction, see section OIV.ImageViz.Engines.ImageAnalysis

These engines extend the set of global shape-based measures to the gray level based measurements. Features are no longer obtained from binary images, but from gray level images, potentially masked with the individualized cells.