Archived page: ADCIS Products: Previous Version: Function List

Arithmetic/Logic

Arithmetic

ImgAbs

returns the absolute value of every pixel

*ImgAdd

adds two images together

ImgBlend

performs an alpha blending combination of two images

ImgDivide

divides two images together

ImgInvert

inverts the pixel values of an image

ImgMask

masks an image using another image as the mask

ImgMatrixMultiply

multiplies a pixel-by-pixel matrix of an Image Vector

*ImgMaximum

returns the pixel-by-pixel maximum of two images

*ImgMinimum

returns the pixel-by-pixel minimum of two images

*ImgMultiply

multiplies two images together

ImgRemainder

calculates the remainder of an image divided by an integer constant

*ImgSubtract

subtracts two images

 

 

Bit Logic

ImgBitAnd

performs a pixel-by-pixel bitwise AND of an image

ImgBitDifference

finds the bit difference of 2 images

ImgBitNot

takes the bitwise complement of the pixel values in an image

ImgBitOr

performs a bitwise OR of an image

ImgBitXNor

performs the logical XNOR of two images.

ImgBitXOr

performs the logical XOR of two images.

ImgLeftShift

performs left-bit shifting on the bits of an integral datatype image

ImgRightShift

performs right-bit shifting on the bits of an integral datatype image

 

 

Logic

ImgAnd

performs logical AND of two images

ImgLogicalDifference

performs logical difference

ImgNAnd

performs logical NOT AND of two images

ImgNOr

performs logical NOT OR of two images

ImgNot

performs logical NOT of an image

ImgOR

performs logical OR of two images

ImgXNOr

performs logical exclusive NOT OR of two images

ImgXOr

performs logical exclusive OR of two images

 

 

Constants

ImgAddConstant

adds a constant value to every pixel of the input image

ImgMultiplyConstant

multiplies every pixel of the input image by a constant value

ImgSubtractConstFloor

subtracts a constant from all pixels of the input image

 

 

Filtering

Convolution

*ImgConvolve

convolves an image using a user-defined N*N kernel

ImgSeparableConvolve

performs a separable convolution on an image

 

 

Low Pass

ImgBlur

convolves an image using a 5x5 blurring kernel

ImgBoxFilter

performs box filtering on an image using an arbitrary window size

ImgGaussianFilter

convolves an image using a kernel generated with a Gaussian shape

ImgLowPass3x3

performs low-pass filtering on an image using a 3x3 kernel

ImgLowPass5x5

performs low-pass filtering on an image using a 5x5 kernel

ImgLowPass7x7

performs low-pass filtering on an image using a 7x7 kernel

 

 

High Pass

ImgHighPass3x3

performs high-pass filtering using a 3x3 kernel

ImgHighPass5x5

performs high-pass filtering using a 5x5 kernel

ImgHighPass7x7

performs high-pass filtering using a 7x7 kernel

ImgLaplacian

convolves a 3x3 Laplacian kernel over an image

ImgLaplacian3x3

performs edge detection by convolving a 3x3 Laplacian kernel over an image

ImgLaplacian5x5

performs edge detection by convolving a 5x5 Laplacian kernel over an image

ImgLaplacian7x7

performs edge detection by convolving a 7x7 Laplacian kernel over an image

ImgLowStopFilter

performs a fast low-stop filter by subtracting the results of a fast low-pass filter from the original image

 

 

Enhancement

ImgMedian

performs median filtering using a user-defined N*N window

ImgMedian3x3

performs median filtering using a 3x3 window

ImgMedian5x5

performs median filtering using a 5x5 window

ImgMode

performs mode filtering on an image

ImgMode3x3

performs mode filtering using a 3x3 window

ImgNagaoFilter

performs the edge-enhancement image smoothing algorithm proposed by Nagao & Matsuyama

ImgRankValueFilter

provides a median-like filter where an element can be selected from the sorted list of pixel values

ImgWallisFilter

performs amplification of pixels by a gain factor dependent upon the moving-window standard deviation of pixels within a pixel plane

ImgWeymouthFilter

performs image enhancement proposed by Weymouth & Overton

 

 

Edge Detection

Laplacian

ImgLaplacian

convolves a 3x3 Laplacian kernel over an image

 

 

Morphology

ImgExternalGradient

performs morphological edge detection by subtracting the original image from the dilated image

ImgInternalGradient

performs morphological edge detection by subtracting the eroded image from the original image

ImgMorphGradient

performs morphological edge detection by subtracting the eroded image from the dilated image

 

 

Linear

ImgCannyDericheEdges

performs a CannyDeriche edge detection on the input image

ImgOneByTwoEdges

performs simple vertical & horizontal edge detection

ImgPrewittEdges

produces edges at every pixel where the gradient magnitude is at least as great as the magnitudeThreshold

ImgRobertsEdges

applies two 2x2 kernels over the input image: along the NW-SE diagonal & along the SW-NE diagonal

ImgSobelEdges

produce edges at every pixel where the gradient magnitude is at least as great as the magnitudeThreshold

ImgZeroCrossEdges

computes an edge image based on the zero-crossings of the non-directional 2 nd derivative of the image intensity values

 

 

Non-Linear

ImgRidgeValleyEdges

detects ridge & valley edges for a given input image

 

 

Utilities

ImgEdgesThin

performs edge thinning by suppression of non-maximal magnitude edge values in a local neighborhood

 

 

Mathematical Morphology

Erosion/Dilation

*ImgDilate

performs morphological dilation of the input image

*ImgErode

performs morphological erosion of the input image

 

 

Opening/Closing

*ImgClose

performs morphological closing of the input image

*ImgOpen

performs morphological opening of the input image

 

 

Distance

ImgGraphDistance

computes for every white point the 4 or 8-connected distance to the nearest black point

ImgChamferDistance

computes for every white point the 4-connected distance to the nearest black point using a fast two-pass algorithm

 

 

Features

ImgExtendedRegionalMaxima

extracts the regional maxima inside the specified mask

ImgExtendedRegionalMinima

extracts the regional minima inside the specified mask

ImgLocalMaxima

finds the local maxima points in an image

ImgLocalMinima

finds the local minima points in an image

ImgRegionalMaxima

extracts the regional maxima of a gray scale image

ImgRegionalMinima

extracts the regional minima of a gray scale image

ImgUltimateErodedSet

extracts the ultimate eroded sets from a binary image

 

 

Geodesy

ImgBorderKill

removes all connected components connected to the image borders

ImgBorderKillAndHoleFill

performs both a BorderKill and HoleFill

ImgGeodesicDilate

performs a geodesic dilation using a specified structuring element

ImgGeodesicGraphDistance

computes for every white point the distance to the nearest black point

ImgHoleFill

puts all dark point sets included in the white point set to white points

ImgReconstruct

performs a reconstruction of an input image inside a reference image

 

 

Watershed

ImgConstrainedWatershed

computes the catchment basins of the input image

ImgWatershed

computes the image of a watershed from an input image

 

 

Advanced Openings

ImgAddReconsClose

adds a constant to the image & reconstructs the resulting image

ImgAreaClose

performs a closing based on the surface area of structures present

ImgAreaOpen

performs an opening based on the surface area of structures present

ImgDilateReconsClose

dilates the input image & reconstructs the resulting image

ImgErodeReconsOpen

erodes the input image & reconstructs the resulting image

ImgInfimumClose

performs the intersection of closings by segments in all directions

ImgSubtractReconsOpen

subtracts a constant from the image & reconstructs the resulting image inside the original input image

ImgSupremumOpen

performs the combination of openings by segments in all directions

 

 

Thinning/Thickening

ImgConstrainedThicken

performs a constrained thickening which specified pixels cannot thicken

ImgConstrainedThin

performs a constrained thinning which specified pixels cannot thin

ImgHitOrMiss

performs a hit-or-miss transform on an input image

ImgThicken

performs a thickening by a user-defined neighborhood configuration on a binary image

ImgThin

performs thinning by a neighborhood configuration on a binary image

 

 

Skeletons

ImgConnectedSkeleton

computes a connected skeleton of a binary image

ImgMinimalSkeleton

computes the minimal skeleton of a binary image

ImgOpenSkeleton

computes the opening skeleton of a binary image

ImgThickenSkeleton

computes a skeleton by thickening the input binary or gray scale image

ImgThinSkeleton

computes a skeleton by thinning the input binary or gray scale image

 

 

Filtering

ImgAlternateSequential

performs an alternate sequential filter for which the structuring element & the maximum size are specified

ImgAutoMedian

performs an automedian filter on the input image

 

 

Contrast

ImgMorphContrast

performs a morphological contrast on the input image

 

 

Frequency Domain

Fourier

ImgFFT

performs fast Fourier transform on an input image

ImgInverseFFT

performs fast inverse Fourier transform on an input image

ImgPeakMask

increases or decreases the values of the frequency peak in one area of the image by multiplying the area by a number

 

 

Low Frequency Filters

ImgLPButterworthFilter

computes the Butterworth low pass filter from a user-defined mask

ImgLPExponentialFilter

computes the exponential low pass filter from a user-defined mask

ImgLPRectangularFilter

computes the rectangular low pass filter from a user-defined mask

ImgLPTrapezoidalFilter

computes the trapezoidal low pass filter from a user-defined mask

 

 

High Frequency Filters

ImgHPButterworthFilter

computes the Butterworth high pass filter from a user-defined mask

ImgHPExponentialFilter

computes the exponential high pass filter from a user-defined mask

ImgHPRectangularFilter

computes the rectangular high pass filter from a user-defined mask

ImgHPTrapezoidalFilter

computes the trapezoidal high pass filter from a user-defined mask

 

 

Transforms

Geometry

ImgCenter

rearranges an image around its center in a radial way

ImgFlip

performs a flip transformation of an image about a given axis

ImgRotate

performs an affine rotation of an image about its midpoint

ImgScale

performs an affine scaling of an image

ImgShear

performs an affine shear transform of an image

ImgTranslate

performs an affine translation of an image

ImgTranspose

performs a transpose transformation of an image

ImgWarpControlPoint

performs two-dimensional geometric warping of an image

 

 

Utilities

ImgCartesianToPolar

converts image vector data from cartesian to polar coordinates

ImgPolarToCartesian

converts image vector data from polar to cartesian coordinates

 

 

Color

ImgColorToRGB

splits a color image into three bands

ImgExcessRGB

computes a set of excess color images from RGB raw images

ImgHSIToRGB

converts a HSI image to a RGB image

ImgNormalizedRGB

computes a set of normalized RGB images from RGB raw images

ImgRGBToColor

copies three single-band images to a color image

ImgRGBToHSI

converts a RGB image to a HSI image

ImgRGBToYIQ

converts a RGB image to a YIQ image

ImgYIQToRGB

converts a YIQ image to a RGB image

 

 

Image Utilities

Generation

ImgCreateGaussianNoise

creates an image with random values in a Gaussian distribution

ImgCreateGaussianSurface

builds a Gaussian-shaped image

ImgCreateRamp

creates an image with a ramp in x, y, or both

ImgCreateUniformNoise

creates an image with random values in a uniform distribution

ImgFree

removes an image from memory

ImgFreeAll

removes all images from memory

 

 

Utilities

ImgClear

sets all pixels in an image to 0

ImgClip

clips the pixel values of an image to a specified range

ImgCopy

copies the input image to a destination image

ImgCut

copies a piece of an image to the cut buffer

ImgFill

sets all pixels in an image to a specified value

ImgFrame

creates a frame image from an existing image

ImgJoinBands

joins single band images into a multiband image

ImgPaste

copies the cut buffer to a specific location in the image

ImgSetName

changes the image name

ImgSetType

sets the datatype of an image (i.e. scalar type of the pixels)

ImgSplitBands

converts a multiband image to single band images

ImgSubCopy

copies an image so that the output image will be resized to the dimensions of the area being copied from the input image

 

 

LUT/Point

ImgEqualizeHistogram

equalizes the histogram of an image

ImgLinearScale

maps image values using a linear ramp function

ImgMapThroughLUT

maps an image through a lookup table

 

 

Input/Output

ImgImport

reads an arbitrary binary file into Aphelion image format

ImgRead

reads an image into an AphImage

ImgWrite

writes an AphImage Object to a file in a specified image file format

 

 

Segmentation

Threshold

ImgAdaptivePercentileThreshold

computes a threshold that can then be passed to ImgThreshold

ImgColorThreshold

performs a color threshold on the three RGB or HSI bands

ImgEntropyThreshold

thresholds the input image with the threshold value computed automatically

ImgExtremaThreshold

thresholds pixels representing extrema points in the input image

ImgHysteresisThreshold

applies two thresholds to the input image, producing an image in which selected pixels are set to 1

ImgMultiModalThreshold

a region segmentation operator developed from the Localized Histogram Segmentation algorithm, where the sector size is 1

ImgMaximumContrastThreshold

picks a set of thresholds from an input image that give maximal contrast

ImgMomentThreshold

thresholds an input image with the threshold value computed automatically

*ImgThreshold

thresholds the input image between a lower & upper bound

 

 

Morphology

*ImgBlackTophat

performs a Top Hat over the black structures of the input image using the supplied structuring element

ImgClustersSplitConvex

uses the watershed operator to split connected blobs into convex blobs

ImgRegionGrow

performs region growing on an input image

ImgSeededRegionGrow

performs connected-components analysis on gray scale values to produce region labels

*ImgWhiteTophat

performs a Top Hat over the white structures of the input image using the supplied structuring element

 

 

Rectangles

ImgLabelsToRectangles

computes the extents of each region label in the input image & creates a rectangle in the output ObjectSet

 

 

Polygons

PolygonArea

computes the area of each polygon in a set of polygons

RegionConvexHullPolygons

computes the convex hull polygon for each input region

RegionToBoundaryPolygon

converts region borders to boundary polygons

 

 

Lines

ImgEdgesToLines

groups edges of similar orientation & proximity into straight lines

ImgGradientLines

constructs lines from regions of similar gradient direction in an approximation of the algorithm proposed by J. Brian Burns

ImgHoughLines

detects lines in an input image by Hough Transform (HT)

 

 

Regions

ImgEntropyThresholdObj

produces a set of regions from the output of ImgEntropyThreshold

ImgHysteresisThresholdObj

produces a set of regions from the output of ImgHysteresisThreshold

ImgMultiModalThresholdObj

produces a set of regions from the output of ImgMultiModalThreshold

ImgMaximumContrastThresholdObj

produces a set of regions from the output of ImgMaximumContrastThreshold

ImgMomentThresholdObj

produces a set of regions from the output of ImgMomentThreshold

ImgRegionGrowObj

performs region growing on the input image using ImgRegionGrow

ImgThresholdObj

produces a set of regions from the output of ImgThreshold

ImgZeroCrossObj

computes a region segmentation based on zero-crossings of the non-directional 2nd derivative of image intensity values

 

 

Snakes

ImgSnake

performs a snake algorithm, from a marker defined in the graphic overlay

 

 

Chains

ImgLabelsToChains

converts labels into chains

 

 

Utilities

ImgClustersObj

performs connected components on the input image using ImgClustersToLabels

ImgClustersToLabels

produces a region-label image from a cluster-label image

ImgEdgesToEdgels

converts edge data from an image format to edgel Objects

ImgLabelsObj

converts a label image to a set of regions

 

 

Analysis

Global

ImgArea

computes the area of a binary image

ImgBandHistogram

builds a one dimensional histogram of the values contained in the input image for the specified band

ImgBoundingBox

computes the bounding box for the whole image

ImgCompare

compares 2 images & returns the number of pixels equal in these images

ImgConcavity

returns the number of concavities

ImgConvexity

returns the number of convexities

ImgCountObjects

returns the number of 4-connected regions in the input image

ImgEuler

computes the Euler number (connectivity number) of a binary image

ImgFirstPoint

computes the coordinates of the first non-zero pixel in the image

ImgHistogram

computes the intensity histogram of all pixels in the image

ImgIntercepts

computes the intercepts of a binary image

ImgMoments

computes the first & second order moments

ImgPerimeter

computes the global perimeter of all objects in a binary image

ImgRange

computes the minimum & the maximum of all pixels in an image

ImgVolume

computes the sum of all pixels in an image

 

 

Image Analysis

ImgHoughTransform

performs a Hough transform for the input image

ImgLawsTexture

computes the 9 Laws texture images for a given input image

ImgLocalVariance

computes the variance in the neighborhood of each pixel in the input image

 

 

Objects

ChainAttributes

computes attributes of each chain in a given set of chains & adds them to the ObjectSet

ChainWidth

computes the width mean, min, max, and sd of each chain and adds them as attributes to the ObjectSet

LineAttributes

computes a number of measurements for a given set of lines

ObjAttributeRatio

computes the ratio between two attributes for each Object

ObjComputeMeasurements

computes a variety of measurements for spatial Objects

ObjComputeRuleScore

computes the rule score in the Fuzzy Logic Toolkit

ObjHistogram

computes a 1D histogram for a measurement

ObjLoadRuleSet

loads a set of rules in the Fuzzy Logic Toolkit

ObjMoments

computes the first order moments of an attribute

RegionFeret

returns the oriented bounding box of each region in an ObjectSet

RegionShape

computes shape attributes for each region in an ObjectSet

RegionStatistics

computes for each region the min, max, mean, & standard deviation

 

 

Interactive

ImgDistance

computes the distance between 2 points in an image

ImgProfile

performs the gray level profile of the image line defined by the user

ImgTrace

reads the gray level of a point into an image

ImgWarpControlPoint

computes warping between two input images into an output image

 

 

Correlation/Template Matching

ImgAutoCorrelate

correlates a data set using a simplified algorithm of cross-correlation

ImgCrossCorrelate

implements a two-dimensional image cross-correlation

ImgCorrelateWithTemplate

computes correlation of a template pattern with an input image

ImgCooccurence

computes the cooccurence matrix

ImgFromTemplate

converts a template (kernel) to an image of the same size with pixel values equal to the exact values of the kernel

ImgToTemplate

converts an ROI of an image to a template (kernel)

 

 

Object Processing

Geometry

ObjRotate

performs an affine rotation of an ObjectSet about its midpoint

ObjScale

performs an affine scaling of an ObjectSet

ObjShear

performs an affine shear transform of an ObjectSet

ObjTranslate

performs an affine translation of an ObjectSet

 

 

Region

RegionClose

performs a morphological closing on each region in an ObjectSet

RegionDilate

performs a dilation on each region in an ObjectSet

RegionErode

performs an erosion on each region in an ObjectSet

RegionHoleFill

fills holes in region attributes, creating a new region attribute containing the filled regions

RegionOpen

performs a region opening on each region in an ObjectSet

 

 

Lines

RegionLineFit

fits a line to a region

 

 

Chains

ChainLineFit

fits a straight line to the specified chain location attribute

 

 

Grouping

ChainNeighbors

given a chain ObjectSet, constructs the set of neighbors at the end points within a given radius.

EdgelNeighbors

computes the set of near-by for each edgel in an ObjectSet

EdgelsToChains

groups edgels into chains in an iterative process

RegionOverlap

computes the set of regions which overlap for each region in an ObjectSet

RegionSplitConvex

segments regions in a regionset into convex components

RegionSplitStatistical

segments regions in an ObjectSet into convex components

RegionSplitUnconnected

extracts connected regions of pixels from region attributes

 

 

Object Utilities

Object IO

ObjExport

writes an ObjectSet to a named file in a tab-separated format that can be read into any spreadsheet application

ObjFree

deletes all references to an ObjectSet

ObjFreeAll

removes all ObjectSets from memory

ObjImport

reads an ObjectSet from a named file in a format writeable by any spreadsheet application

ObjRead

reads an ObjectSet from a named binary file

ObjWrite

writes an ObjectSet to a file in a specified file format

RegionToBoundaryPolygon

converts region into boundary polygons

 

 

Cut/Copy/Paste

ObjAppend

combines two ObjectSets by adding the second set to the first

ObjCopy

duplicates an ObjectSet

ObjDeleteAttribute

deletes attribute definitions & their associated slots in the Objects

ObjFilter

removes Objects from ObjectSet falling outside the specified range for a numeric attribute

ObjFree

deletes all references to an ObjectSet

ObjMerge

merges two ObjectSets into one

 

 

Graphics

ObjDraw

draws one spatial attribute of an ObjectSet in the overlay of an image

ObjDrawMapped

draws Objects in an image overlay using a scalar attribute to compute the gray level of each Object

ObjRemoveOverlay

removes one spatial attribute overlay for 1 ObjectSet from image display

 

 

Conversion

ObjSpatialAttributeToImage

performs a raster conversion of a spatial attribute & writes the result into the output image

ObjSpatialAttributeToRegions

performs a raster conversion of a spatial attribute & writes the result into a new region attribute

 

 

Image Acquisition

Grab/Snap

FGStartGrab

opens a Live Image window

ImgGetFGFrame

gets one frame from a Live Image window opened using FGStartGrab

FGFreeze

freezes an acquisition started using the ImgGrab function

ImgGrab

captures an image from a variety of hardware devices

ImgSnap

acquires an image from a frame grabber

 

 

Recognition Toolkit

Utility

AutoCode

codes data for information evaluation or classification. It takes specified attributes from the input ObjectSet and produces new integer coded features.

Encode

codes data for information evaluation or classification using specified partitions. It takes selected attributes from the input ObjectSet and produces new integer-coded features.

Normal

normalizes features by extracting the means, and standardizing variances to 1. It can be used as a preprocessing step before evaluation, clustering or classification.

Centroid

computes class centroids. It is useful for data analysis and classifier training.

MeanAsgn

assigns Objects to the closest centroid. It can be used in conjunction with Centroid for evaluation or classification.

 

 

Extract

Corners

finds corners from line pairs, providing a basis for advanced component-based recognition.

Parallels

finds parallel line pairs, providing a basis for advanced component-based recognition.

Boxes

forms boxes by finding opposite and adjacent relationships between corners, providing a basis for advanced component-based recognition.

MergeLines

combines Lines formed by any line extraction operator. It can combine line segments that are collinear and close parallel lines.

MergeBoxes

combines boxes formed by the box finding operator Boxes. The Boxes operator can form a large number of overlapping boxes based on different combinations of corners.

 

 

Evaluate

CorrEval

computes the correlations between a selected set of attributes and a key attribute. This operator can be effective for redundancy analysis of measurement data.

InfoEval

used to evaluate the information content for recognition of symbolic, discrete or coded numeric features. This feature evaluation operator can uncover discrimination potential that depends on complex functional relationships.

PairEval

used to evaluate the information content for recognition from pairs of symbolic, discrete, or coded numeric features.

LinkEval

computes the tree linkage which maximizes the overall discriminant information given an input of paired discriminant information values.

MRegres

performs a multiple linear regression. It can be used in feature evaluation, constructing composite features, and in redundancy analysis.

 

 

Learn

PFSClust

implements a Pseudo F Statistic Clustering process. It is capable of finding the natural classes given a set of feature data.

MinD_Trn

performs training for a Minimum Distance classifier. It creates the reference data necessary for the MinD_Cls operator.

KNN_Trn

performs training for a K-Nearest-Neighbor (KNN) classifier. It creates the reference data necessary for the KNN_Cls operator.

Bayes_Trn

performs training for a multi-variate normal Bayesian classifier. It creates the reference data necessary for the Bayes_Cls operator.

DIT_Trn

performs training for a Discriminant Information Tree (DIT) classifier. It creates the reference data necessary for the DIT_Cls operator.

 

 

Classify

MinD_Cls

implements a Minimum Distance classifier.

KNN_Cls

implements a K-Nearest-Neighbor (KNN) classifier.

Bayes_Cls

implements a multi-variate normal Bayesian classifier.

DIT_Cls

implements a Discriminant Information Tree classifier. This classifier is designed to work with discrete data and can readily classify using symbolic as well as numeric features.

 

 

* = optimized for increased performance on PCs using the Intel MMX technology