Cognex.VisionPro.PatInspect NamespaceCognex VisionPro 9.8
 
Classes

  ClassDescription
Public classCogPatInspectPattern
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.
Public classCogPatInspectResult
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.
Public classCogPatInspectRunParams
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.
Public classCogPatInspectTool
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.
Enumerations

  EnumerationDescription
Public enumerationCogPatInspectCurrentRecordConstants
Enumeration of data that can be provided in the Tool's CurrentRecord.
Public enumerationCogPatInspectDifferenceImageConstants
Enumeration of difference images that can be generated by PatInspect.
Public enumerationCogPatInspectInterpolationModeConstants
Interpolation modes for affine transforms applied to the region.
Public enumerationCogPatInspectLastRunRecordConstants
Enumeration of non-diagnostic data that can be provided in the Tool's LastRunRecord.
Public enumerationCogPatInspectLastRunRecordDiagConstants
Enumeration of diagnostic data that can be provided in the Tool's LastRunRecord.
Public enumerationCogPatInspectMatchImageConstants
Enumeration of match images that can be generated by PatInspect.
Public enumerationCogPatInspectNormalizationModeConstants
Normalization modes that can be applied to the input image prior to performing the intensity difference operation with the trained pattern image.