Image Statistics

This category describes intensity-based measurement objects, computed globally on the input image.

• IntensityExtremaMsr: Contains the minima and maxima information computed in an image.
• StatisticsMsr: Contains the statistics computed on the intensities of an image.
• IntensityHistogramMsr: Contains the histogram values computed in an image.
• IntensityBinHistogramMsr: Contains the histogram values computed in an image.
• CompareMsr: Contains the result of a comparison between two images according to a user-defined criterion.
• SimilarityMetricValueMsr: Contains a similarity value between two images.
• SsimValueMsr: Contains the data corresponding to a structural similarity (SSIM).
• RegionSimilarityMsr: Contains the similarity indicator values computed between an image and a reference.
• SegmentationMetricsObjectMsr: Contains classical quality metrics for assessing the quality of a segmentation per label relative to a ground truth.
• SegmentationMetricsImageMsr: Contains classical quality metrics for globally assessing the quality of a segmentation relative to a ground truth.
• CylindricalIntensityProfileMsr: Contains the data corresponding to a cylindrical intensity profile.
• RadialIntensityProfileMsr: Contains the data corresponding to a radial intensity profile.
• CorrelationMsr: Contains the position of the main correlation peak detected in an image and other information related to the correlation computation.
• CoocurrrenceMsr: Contains the 13 Haralick indicators given by co-occurrence matrix analysis.
• GaussianNoiseMsr: Contains the Gaussian noise standard deviation estimated in an image.
• LocalMaximaMsr: Contains the positions of local maxima detected in an image.
• PeakExtractorMsr: Contains the positions of local peaks detected in an image.