Matching and Measurement

Sample

The sample program demonstrates:

 Image

C++

C#

Qt

CMake

Vb
● EasyGaugeBasic
● Load an image and apply a gauge from EasyGauge, chosen between a Point Gauge, a Line Gauge, a Rectangle Gauge, a Circle Gauge, a Wedge Gauge and a Polygon Gauge.
● Implement graphical edition of the gauge geometry.
● Set and display the main parameters of the gauges: the transition polarity, the choice of measure and various display options.
✓ ✓ ✓   ✓
● EasyGaugeRegion
● Load an image and apply a gauge from EasyGauge, chosen between a Rectangle Gauge and a Circle Gauge.
● Create a region corresponding to the gauge from the result.
● Perform a blob encoding operation on it.
✓        
● EasyGaugePolygon
● Use the class EPolygonGauge of the EasyGauge library.
● Edit the geometry of the gauge and change the main parameters.
● Configure various display options.
✓ ✓      
● EasyFindLearn
● Load an image.
● Move and size the region of interest to define the pattern.
● Learn the pattern in the region of interest.
● Change the tolerances using the Tolerances menu.
● Find the pattern using the Find menu.
✓ ✓ ✓   ✓
● EasyFindVectorLearn
● Use EasyFind with vectorized learning patterns. In this mode, learning is done on collections of 2D geometrical shapes rather than rasterized patterns.
● Open a DXF or Open eVision vector model with File > Open Model. Right-click to change the polarity of a transition.
● Save the vector model with the edited polarity.
● Learn the pattern with the button Learn.
● Open a search image and find the pattern with the button Find .
✓ ✓ ✓    
● EasyMatchLearn
● Use the class EPolygonGauge of the EasyGauge library.
● Edit the geometry of the gauge and change the main parameters.
● Configure various display options.
✓ ✓ ✓   ✓
● EasyObjectEChecker2
● Specify the inspection area.
● Select fiducials for the localization and the alignment of the inspection area.
● Train the method and apply it on new images.
✓ ✓      
● EasyObjectInertia
● Find blobs (objects or holes that have the same gray level range) in the image.
● Keep only the blobs whose area is in a given range.
✓ ✓ ✓   ✓