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Image Analysis
Select a filter from the list below.
| Icon | Name | Description / Applications | Modules | |
|---|---|---|---|---|
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AccessGoldenTemplate2Model | 
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Returns information about a model. |
FoundationPro |
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CheckPresence_EdgeAmount | 
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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 |
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CheckPresence_Intensity |
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Verifies object presence by analysing pixel intensities in the specified region. Quick and easy presence verification, e.g. for missing caps, screws, labels. |
FoundationPro |
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CheckPresence_PixelAmount |
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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 |
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CompareGoldenTemplate_Edges |
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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 |
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CompareGoldenTemplate_Intensity |
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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 |
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CompareGoldenTemplate2 |
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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 |
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CreateGoldenTemplate_Edges |
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Creates golden template for application in CompareGoldenTemplate_Edges filter. |
FoundationPro |
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CreateGoldenTemplate_Intensity |
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Creates golden template for application in CompareGoldenTemplate_Intensity filter. |
FoundationPro |
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CreateGoldenTemplate2 |
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Create a model to be used with CompareGoldenTemplate2 filter. |
FoundationPro |
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DetectCorners_CornerResponse |
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Detects corners using corner response method. Detection of characteristic points on an image. |
FoundationBasic |
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DetectCorners_Foerstner |
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Detects corners using the Foerstner algorithm. Detection of characteristic points on an image. |
FoundationBasic |
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DetectLinePeak |
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Finds line peaks on an image. Created for applications with laser line detection. |
FoundationPro |
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DetectLinePeak_Gauss |
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Finds line peaks on an image. Created for applications with laser line detection. |
FoundationPro |
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MeasureObjectWidth |
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Measures the width of an object using stripe detection. |
FoundationPro |
 |
PhotometricStereo_ComputeHeightMap |
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Computes the shape of the image object using surface normals. |
Photometric |
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PhotometricStereo_General_Perform |
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Computes surface normals using images with light source in different places. |
Photometric |
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PhotometricStereo_InitializeHeightMapStruct |
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Creates a structure used for computing height map in photometric stereo filter. |
FoundationPro |
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PhotometricStereo_Perform |
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Computes surface normals using four images with light source in different places. |
Photometric |
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PhotometricStereo_SurfaceCurvature |
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Computes the surface curvature using previously computed normals. |
Photometric |
