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Detects and recognizes one Data Matrix code.
Name | Type | Range | Description | |
---|---|---|---|---|
inImage | Image | Input image | ||
inRoi | Rectangle2D* | Region of interest | ||
inRoiAlignment | CoordinateSystem2D* | Coordinate system for the region of interest | ||
inCodeParams | DataMatrixCodeParams | Specification of codes that can be found | ||
inContrastThreshold | Integer | 1 - | Minimal difference between dark and bright modules | |
inFlags | Integer | 0 - | Undocumented advanced tweaks for difficult cases | |
outDataMatrixCode | DataCode? | |||
outCandidates | PathArray | Diagnostic information about detection results | ||
outAlignedRoi | Rectangle2D | Input ROI after transformation (in the image coordinates) |
Description
This filter detects and recognizes one data matrix code on an image.
Supported code types: ECC 200 and ECC 000-140.
Hints
- Connect inImage with the output of your image acquisition filter.
- Specify the range of possible codes on an image by setting the inCodeParams input. The more narrow is the specification, the faster the filter works.
- Set inCodeParams.Polarity to specify whether dark-on-bright or bright-on-dark codes are to be read.
- Specify the range of possible code sizes with inCodeParams.MinRowCount, inCodeParams.MaxRowCount, inCodeParams.MinColumnCount, inCodeParams.MinColumnCount.
- Specify the range of possible module sizes (in pixels) with inCodeParams.MinModuleSize and inCodeParams.MaxModuleSize.
- Set inCodeParams.ExpectedGapSize according to the following rules:
- Zero – no gaps at all (modules are fully filled).
- Small – gaps up to 25% of the module size.
- Medium – gaps up to 50% of the module size; it may require a bigger Quiet Zone.
- Large – gaps up to 75%; comes with no guarantee.
- Modify inCodeParams.MaxRectangleRatio if you expect to work also with non-square codes. The value specifies maximal ratio between the length of the longer side to the length of the shorter side.
- Set inContrastThreshold to a value, which is lower than minimal difference of pixel values between a dark and a bright module (contrast), but greater than maximal difference of pixel values within one module (noise level).
- If you are having problems with reading codes from low quality images, consider adding image morphology or smoothing.
Examples
Remarks
For more information about local coordinate systems please refer to the following article.
Complexity Level
This filter is available on Basic Complexity Level.
See Also
- ReadMultipleDataMatrixCodes – Detects and recognizes several Data Matrix codes.