Attributes

eBorderExtensionPolicy

eBEP_Disable	Border extension policy is disable : - it is the fastest method it do not require additional memory particules which will touch border on a closing operation may not be correctly eroded holes which will touch border on an opening operation may not be correctly dilated
eBEP_Enable	Border extension policy is enable : - it is the slowest method it will require the allocation of a additional enlarged image particules which will touch border on a closing operation will be correctly eroded holes which will touch border on an opening operation will be correctly dilated

eCircleIntensityType

eCIT_BrightCircles	Only detect bright circles on dark background.
eCIT_DarkCircles	Only detect dark circles on bright background.
eCIT_Both	Detect all circles, dark and bright.

eCylinderUnrollingIntegrationType

eCUIT_Max	compute the maximum along thickness
eCUIT_Mean	compute the mean along thickness
eCUIT_Min	compute the minimum along thickness

eDilateLabelMode

eDLM_Basins	Adjacent label basins.
eDLM_Split	Label basins with separation line.

eAxis

eA_X	indicates the x-axis
eA_Y	indicates the y-axis
eA_Z	indicates the z-axis

ePropagationAxis

ePA_X	propagation along the x-axis
ePA_Y	propagation along the y-axis
ePA_Z	propagation along the z-axis

ePropagationDirection

ePD_Direct	direct path propagation
ePD_Reverse	reverse path propagation

eLocalExtremumType

eLET_Max	Local maxima extremum.
eLET_Min	Local minima extremum.
eLET_StrictMax	Local maxima extremum without plateau.
eLET_StrictMin	Local minima extremum without plateau.

eExtremumExtractType

eEET_Max	Extremum type set to maximum.
eEET_Min	Extremum type set to minimum.
eEET_Both	Extremum type set to both maximum AND minimum.

eFrequencyBandPassFilterType

eFBPFT_Gaussian	Gaussian filter.
eFBPFT_LogGabor	Log-Gabor filter.

eHoughAccumThresholdType

eHATT_Absolute	absolute threshold
eHATT_MaxRatio	ratio of the maximum of the image of accumulators
eHATT_HistoQuantile	quantile of the histogram of the image of accumulators

eHoughCircles2dAlgoMethod

eHCAM_Gradient	Gradient-based method.
eHCAM_GradientPhaseCoded	Gradient-based phase-coded method.

eImgComparisonToleranceType

eICTT_None	no tolerance defined
eICTT_Absolute	absolute tolerance
eICTT_Relative	relative tolerance
eICTT_AbsoluteOrRelative	absolute or relative tolerance

eInterpolationPolicy

eIP_NearestNeighbour	Nearest neighbour interpolation policy.
eIP_Linear	Linear interpolation policy (bilinear for 2d case and trilinear for 3d case)
eIP_Cubic	Cubic interpolation policy (bicubic for 2d case and tricubic for 3d case)

eLabelReindexingPolicy

eLRP_KeepIndexes	ask for no label reindexation (holes may appear between label indexes)
eLRP_Reindex	ask for label reindexation (no holes between label indexes)

eLawTexPostProcMethod

eLTPPM_Mean	compute mean on a square neighbourhood
eLTPPM_MeanAbs	compute mean of absolute values of elements on a square neighbourhood
eLTPPM_Gaussian	gaussian smoothing on a square neighbourhood
eLTPPM_GaussianAbs	gaussian smoothing of absolute values of elements on a square neighbourhood
eLTPPM_Variance	variance on a square neighbourhood

eLawTexPreProcMethod

eLTPPM_SubtractMeanSmoothed	Subtract local mean smoothed.
eLTPPM_SubtractGaussianSmoothed	Subtract local gaussian smoothed.

eLightnessType

eLT_Average	(channel0 + ... + channelN) / NbChannels
eLT_Lightness	(max(channel0, ..., channelN) + min(channel0, ..., channelN)) / 2
eLT_Luminosity	0.21 R + 0.72 G + 0.07 B -> The input image MUST be have 3 channels (assumed to be RGB)

eMaskMode

eMM_Direct	use directly the mask
eMM_Reverse	use the reversed mask (process 0 as 1 and 1 as 0)

eMatchStatsCriterion

eMinMax	adjust image dynamic on min and max
eMeanStdDev	adjust image dynamic on mean and variance
eHistogram	adjust image dynamic on histogram

eMinMaxDefinition

eMMD_ImgMinMax	minimal and maximal intensities of the image
eMMD_UserDefinedMinMax	minimal and maximal intensities are defined by the user

ePCAReductionCriterion

ePCARC_VarianceThresholding	variance thresholding
ePCARC_ExpectedNbEltsInSequence	expected dimensionality of output sequence image

ePredefinedCyclicRgbColorMapId

ePCRCMI_Random1_12Colors	Random1 (12 colors)
ePCRCMI_Random1_12Colors_FirstBlack	Random1 (12 colors), first color is black.
ePCRCMI_Random2_12Colors	Random2 (12 colors)
ePCRCMI_Random2_12Colors_FirstBlack	Random2 (12 colors), first color is black.
ePCRCMI_Random1_24Colors	Random1 (24 colors)
ePCRCMI_Random1_24Colors_FirstBlack	Random1 (24 colors), first color is black.

ePredefinedSmoothRgbColorMapId

ePSRCMI_Jet	JET color map.
ePSRCMI_InvJet	inverted JET color map
ePSRCMI_Viridis	Viridis color map (matplotlib-like)
ePSRCMI_Magma	Magma color map (matplotlib-like)
ePSRCMI_Inferno	Inferno color map (matplotlib-like)
ePSRCMI_Plasma	Plasma color map (matplotlib-like)

eProcessingOptimizationPolicy

ePOP_MaximizeSpeed	Processing will favor speed execution.
ePOP_MinimizeMemory	Processing will favor low memory consumption.

eProjStatType

ePST_Max	compute the maximum
ePST_Mean	compute the mean
ePST_Median	compute the median
ePST_Min	compute the minimum
ePST_StdDev	compute the standard deviation
ePST_Sum	compute the sum
ePST_Variance	compute the variance

eRandomAlgoType

eRAT_NonRandom	use a non random algorithm
eRAT_Random	use a random algorithm

eRandomForestFeaturesDimension

eRFFD_2d	Compute 2D features.
eRFFD_3d	Compute 3D features.

eRandomForestFeaturesType

eRFFT_GaussianSmoothing	Random forest feature type is gaussian smoothing.
eRFFT_MeanSmoothing	Random forest feature type is mean smoothing.
eRFFT_Laplacian_Difference	Random forest feature type is Laplacian.
eRFFT_High_Pass	Random forest feature type is high pass.
eRFFT_Variance	Random forest feature type is variance.
eRFFT_Erosion	Random forest feature type is erosion.
eRFFT_Dilation	Random forest feature type is dilation.
eRFFT_Opening	Random forest feature type is opening.
eRFFT_Closing	Random forest feature type is closing.
eRFFT_Dilatation	Random forest feature type is dilation (kept for backward compatibility)

eRgbColorMapCycleMode

eRCMCM_AllCyclic	All the elements of the LUT take part to the cycle.
eRCMCM_ExcludeFirstFromCycle	All the elements of the LUT take part to the cycle, except the first one.

eShapeGreyscaleType

eSGT_Dark	computation considers dark shapes
eSGT_Light	computation considers light shapes

eSkeletonAlgoType

eSAT_Default	Default algorithm.
eSAT_Smooth	Smooth skeleton computation.

eSmoothRgbColorMapRangeMode

eSRCMRM_ImageRange	Image range.
eSRCMRM_DataTypeRange	Input image data type range.

eSuperPixelsType

eSPT_Number	computation considers number of super pixels
eSPT_Size	computation considers size of super pixels

eWatershedOutputMode

eWOM_Lines	Watershed lines extraction mode for watershed algorithm.
eWOM_Basins	Watershed basins extraction mode for watershed algorithm.

eWatershedSeparationMode

eWSM_Split	Split of input image mode for watershed algorithm.
eWSM_Lines	Watershed lines extraction mode for watershed algorithm.
eWSM_Basins	Watershed basins extraction mode for watershed algorithm.
eWSM_SplitLabel	Split of input image mode for watershed algorithm.

eWatershedProcessingMode

eWPM_OptimizeSpeed	Parallelised mode for watershed algorithm.
eWPM_Repeatable	Repeatable mode for watershed algorithm.

eZoomInterpolationMethod

eZIM_NearestNeighbour	Nearest neighbour interpolation method.
eZIM_Linear	Linear interpolation method (bilinear for 2d case and trilinear for 3d case)
eZIM_Cubic	Cubic interpolation method (bicubic for 2d case and tricubic for 3d case)
eZIM_VolumeWeightedMean	Volume weighted mean interpolation method.

eCornerDetectionMethod

eCDM_ShiTomasi	Shi-Tomasi corner detection method.
eCDM_Harris	Harris corner detection method.

eImageValueExtractionMethod

eIVEM_ImageRatio	Ratio between number of requested samples R and total number of image pixels T defined used method : tiled method if R < ImageRatioThreshold * T, striped method otherwise.
eIVEM_NbSample	Number of requested samples R defined used method : tiled method if R < NbDataThreshold, striped method otherwise.
eIVEM_ForceTiled	Force used method to tiled one.
eIVEM_ForceStriped	Force used method to striped one.

eKDEBandwidthMethod

eKDEBM_ScottsRule	Scott's rule is used : [D.W. Scott, "Multivariate Density Estimation: Theory, Practice, and Visualization", John Wiley & Sons, New York, Chicester, 1992.].
eKDEBM_SilvermansRule	Silverman's rule is used : [B.W. Silverman, "Density Estimation for Statistics and Data Analysis", Vol. 26, Monographs on Statistics and Applied Probability, Chapman and Hall, London, 1986.].
eKDEBM_GaussianUnivariate	Optimal bandwidth parameter under gaussian basis function used to approximate univariate data : [Silverman, B.W. (1998). Density Estimation for Statistics and Data Analysis. London: Chapman & Hall/CRC. p. 48. ISBN 0-412-24620-1.].
eKDEBM_UserDefined	Bandwidth parameter is a user defined parameter.

eRadialBasisKernelParamsPolicy

eRBKPP_FromDataDynamic	Parameters value are defined as a ratio of input data dynamic.
eRBKPP_UserValue	Parameters are a user provided value.

eRegistrationMotionModel2d

eRMM2d_Rigid	2d registration motion model associated to a rigid transformation (also known as Euclidean transformation)
eRMM2d_Similarity	2d registration motion model associated to a similarity transformation
eRMM2d_Homography	2d registration motion model associated to a homography transformation
eRMM2d_Translation	2d registration motion model associated to a translation transformation

eRegistrationMotionModel3d

eRMM3d_Rigid	3d registration motion model associated to a rigid transformation (also known as Euclidean transformation)
eRMM3d_Similarity	3d registration motion model associated to a similarity transformation
eRMM3d_Homography	3d registration motion model associated to a homography transformation
eRMM3d_Translation	3d registration motion model associated to a translation transformation

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