Classes
| Class | Description | |
|---|---|---|
| CogPatInspectPattern | Provides access to the train time parameters and to the results of training a PatInspect pattern. The pattern must be trained via the Train method prior to performing an inspection which is done by calling the Execute method. | |
| CogPatInspectPattern CreatorClass | ||
| CogPatInspectResult | The result of a single PatInspect inspection. A result basically consists of various flavors of both a match image and a difference image. The result images that will be available depend on the run-time property settings of the pattern. | |
| CogPatInspectResult CreatorClass | ||
| CogPatInspectRunParams | Provides access to PatInspect run-time parameters. The run-time parameters are used to indicate how the PatInspect inspection will be performed and what data will be generated as part of the PatInspect result. | |
| CogPatInspectRunParams CreatorClass | ||
| CogPatInspectTool | A PatInspect tool can be used to detect defects by comparing the desired region of an input image to a template image stored in the tool's pattern. The template image may be trained from one or more good images that contain no defects. | |
| CogPatInspectTool CreatorClass |
Enumerations
| Enumeration | Description | |
|---|---|---|
| CogPatInspectCurrentRecordConstants | Enumeration of data that can be provided in the Tool's CurrentRecord. | |
| CogPatInspectDifferenceImageConstants | Enumeration of difference images that can be generated by PatInspect. | |
| CogPatInspectInterpolationModeConstants | Interpolation modes for affine transforms applied to the region. | |
| CogPatInspectLastRunRecordConstants | Enumeration of non-diagnostic data that can be provided in the Tool's LastRunRecord. | |
| CogPatInspectLastRunRecordDiagConstants | Enumeration of diagnostic data that can be provided in the Tool's LastRunRecord. | |
| CogPatInspectMatchImageConstants | Enumeration of match images that can be generated by PatInspect. | |
| CogPatInspectNormalizationModeConstants | Normalization modes that can be applied to the input image prior to performing the intensity difference operation with the trained pattern image. |