Package com.openinventor.imageviz.engines.imageanalysis.statistics

The Statistics category contains analysis engines applying an intensity- based measurement globally to the input image. For an introduction, see section Image Analysis

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.

Class Summary

Class	Description
SoAutoThresholdingQuantification	SoAutoThresholdingQuantification engine.
SoAutoThresholdingQuantification.SbAutoThresholdingDetail	Results details of threshold by automatic segmentation.
SoCompareImageQuantification	SoCompareImageQuantification engine applies a comparison test between two images.
SoCompareImageQuantification.SbCompareDetail	Results details of comparison between two images.
SoCompareValueQuantification	SoCompareValueQuantification engine applies a comparison test between an image and a constant value.
SoCompareValueQuantification.SbCompareDetail	Results details of comparison between two images.
SoCooccurrenceQuantification2d	SoCooccurrenceQuantification2d engine provides texture indicators based on the co-occurrence matrix computation.
SoCooccurrenceQuantification2d.SbCoocurrrenceDetail	Results details of cooccurrence global measure.
SoIntensityExtremaQuantification	SoIntensityExtremaQuantification engine computes basic statistics of an image.
SoIntensityExtremaQuantification.SbExtremaDetail	Results details of extrema global measure.
SoIntensityStatisticsQuantification	SoIntensityStatisticsQuantification engine advanced basic statistics of an image.
SoIntensityStatisticsQuantification.SbStatisticsDetail	Results details of statistics global measure.
SoLocalMaximaQuantification	SoLocalMaximaQuantification engine.
SoLocalMaximaQuantification.SbLocalMaximaDetail	Results details of SoLocalMaximaQuantification.
SoMaskedStatisticsQuantification	SoMaskedStatisticsQuantification engine advanced basic statistics of an image within a mask.
SoMaskedStatisticsQuantification.SbStatisticsDetail	Results details of statistics global measure.
SoMeasureGaussianNoiseQuantification	SoMeasureGaussianNoiseQuantification engine computes an estimation of a gaussian noise standard deviation.
SoMeasureGaussianNoiseQuantification.SbGaussianNoiseDetail	Results details of gaussian noise estimation.

Enum Summary

Enum	Description
SoAutoThresholdingQuantification.RangeModes
SoAutoThresholdingQuantification.ThresholdCriterions
SoCompareImageQuantification.ComparisonCriterions
SoCompareValueQuantification.ComparisonCriterions
SoIntensityStatisticsQuantification.RangeModes
SoLocalMaximaQuantification.PrecisionModes