Back to Aurora Vision Studio website

You are here: Start » Filter Reference » Computer Vision » Image Analysis

Image Analysis

Select a filter from the list below.

Icon Name Description / Applications Modules
AccessGoldenTemplate2Model

Returns information about a model.

FoundationPro
CheckPresence_EdgeAmount

Verifies object presence by analysing the amount of edges in the specified region.


Quick and easy presence verification, e.g. for missing caps, screws, labels.

FoundationPro
CheckPresence_Intensity

Verifies object presence by analysing pixel intensities in the specified region.


Quick and easy presence verification, e.g. for missing caps, screws, labels.

FoundationPro
CheckPresence_PixelAmount

Verifies object presence by analysing the amount of pixels that meet the specified criteria.


Quick and easy presence verification, e.g. for missing caps, screws, labels.

FoundationPro
CompareGoldenTemplate_Edges

Compares image edges with the edges of a perfect template. Significant differences are considered defects.


Finding general object defects by analyzing missing or excessive edges.

FoundationPro
CompareGoldenTemplate_Intensity

Compares an image with a template image considered to have no defects.


Finding general object defects by analyzing brightness deviations from a template image.

FoundationPro
CompareGoldenTemplate2

Compares an image with a multi-image model using an ensemble of image features approach.


Finding general object defects by analyzing brightness deviations from a template image.

FoundationPro
CreateGoldenTemplate_Edges

Creates golden template for application in CompareGoldenTemplate_Edges filter.

FoundationPro
CreateGoldenTemplate_Intensity

Creates golden template for application in CompareGoldenTemplate_Intensity filter.

FoundationPro
CreateGoldenTemplate2

Create a model to be used with CompareGoldenTemplate2 filter.

FoundationPro
DetectCorners_CornerResponse

Detects corners using corner response method.


Detection of characteristic points on an image.

FoundationBasic
DetectCorners_Foerstner

Detects corners using the Foerstner algorithm.


Detection of characteristic points on an image.

FoundationBasic
DetectLinePeak

Finds line peaks on an image.


Created for applications with laser line detection.

FoundationPro
DetectLinePeak_Gauss

Finds line peaks on an image.


Created for applications with laser line detection.

FoundationPro
MeasureObjectWidth

Measures the width of an object using stripe detection.

FoundationPro
PhotometricStereo_ComputeHeightMap

Computes the shape of the image object using surface normals.

Photometric
PhotometricStereo_General_Perform

Computes surface normals using images with light source in different places.

Photometric
PhotometricStereo_InitializeHeightMapStruct

Creates a structure used for computing height map in photometric stereo filter.

FoundationPro
PhotometricStereo_Perform

Computes surface normals using four images with light source in different places.

Photometric
PhotometricStereo_SurfaceCurvature

Computes the surface curvature using previously computed normals.

Photometric