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Module: | FoundationPro |
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Verifies object presence by analysing the amount of pixels that meet the specified criteria.
Applications
Quick and easy presence verification, e.g. for missing caps, screws, labels.
Name | Type | Range | Description | |
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inImage | Image | Input image | |
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inRoi | ShapeRegionDeprecated | Location at which object presence is being checked | |
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inRoiAlignment | CoordinateSystem2D* | Adjusts the region of interest to the position of the inspected object | |
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inColorModel | HSxColorModel | Selected color model | |
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inBeginHue | Integer | 0 - 255 | Begin of the range of acceptable hue |
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inEndHue | Integer | 0 - 255 | End of the range of acceptable hue |
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inMinSaturation | Integer | 0 - 255 | Lowest acceptable saturation |
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inMaxSaturation | Integer* | 0 - 255 | Highest acceptable saturation |
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inMinBrightness | Real* | 0.0 - ![]() |
Lowest acceptable brightness |
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inMaxBrightness | Real* | 0.0 - ![]() |
Highest acceptable brightness |
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inMinAmount | Real | 0.0 - 1.0 | Lowest acceptable fraction of pixels meeting the criteria |
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inMaxAmount | Real | 0.0 - 1.0 | Highest acceptable fraction of pixels meeting the criteria |
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outIsPresent | Bool | Flag indicating whether the object is present or not | |
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outAmount | Real | Fraction of pixels meeting the criteria | |
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outForeground | Region | Region of pixels meeting the criteria | |
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outAlignedRoi | ShapeRegionDeprecated | Input ROI after transformation (in the image coordinates) | |
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diagHsxImage | Image | Image represented in chosen color model |
Requirements
For input inImage only pixel formats are supported: 3⨯uint8, 1⨯uint8, 1⨯int8, 1⨯uint16, 1⨯int16, 1⨯int32, 1⨯real.
Read more about pixel formats in Image documentation.
Errors
This filter can throw an exception to report error. Read how to deal with errors in Error Handling.
List of possible exceptions:
Error type | Description |
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DomainError | Not supported inImage pixel format in CheckPresence_PixelAmount_Deprecated. Supported formats: 3xUInt8, 1xUInt8, 1xInt8, 1xUInt16, 1xInt16, 1xInt32, 1xReal. |
Complexity Level
This filter is available on Basic Complexity Level.