Hardware manual

Circular Pattern Find Impact Reference Guide
Datalogic Automation Inc. 3-72
The Contour Pattern Find tool creates a model based on detected edges in a user-selected part of an image,
then provides a best-match score and the x-y coordinates of the model’s origin as an output.
Input Name What it is
Input Image The image being inspected
Tool Origin The tool’s origin relative to the entire image space
Train Shape List The region of the image used to train the model.
Find Shape List The region of the image to search for the trained model.
Shape List ROI
Type
Each Shape is separate ROI: Each shape is processed as a separate
ROI and the results are combined. This mode is faster than the other
mode if the shapes are far apart, but results are duplicated if the shapes
overlap.
ShapeList is One ROI: The ShapeList is one large rectangular ROI and
the shapes are the enabled pixels within the rectangle. The tool may be
slow if the shapes are far apart. This setting allows shapes to overlap
and form complex shapes without repeating the overlapped pixels and
duplicating results.
Multi Resolution
Contour Model
The model to find, linked from another tool
Angle Range The maximum angle, in degrees, that the tool searches in the image for
a match of the trained model. The parameters are minus, nominal, plus,
include end, and include start.
Angle Range Pat-
tern
The maximum possible range of rotation of the image in relation to the
trained model
Full 360 Degree Range:
Angle Range Only:
Angle Range and180 Rotation:
Angle Range and all 90 Degree Rotations:
Minimum Match
Score
Found Match is false if no pattern is found with a match score larger than
this (0 to 100)
Model Reference
Origin Placement
Train Region Center: The output origin is in the center of the train region
Train Region Upper Left Corner: The output origin is in the upper left cor-
ner of the train region
Use Model Reference Origin: The output region is relative to the Model
Reference Origin
Model Reference
Origin
Offset the Output Best Origin from the Model Origin
Match Sensitivity Indicates amount of noise in the image when attempting to match the
model. Higher settings allow rougher edges and causes more thorough
and longer searching
Edge Detection
Sensitivity When
Training
Indicates sensitivity to noise in image during tool training. Higher settings
detect more weaker edges but causes the tool to run slower.