Patterns Identification Tool - Settings Tab

Defines the operational mode of the tool: Identify or Verify.

Identify (the default mode) is used when the pattern being inspected is unknown. The tool will automatically examine the image (based on your regions) and determine which pattern, from the trained library of patterns, is being displayed and report that information in the Result parameter.

Verify is used to verify that the correct pattern is present. The tool will examine the image for a specified pattern and compare the found pattern against the pattern specified in the Pattern parameter.

Defines which trained pattern to verify ( to enable this setting, the Mode must be set to Verify). Choose from the patterns you trained.

Defines the degree of similarity that must exist between the Model pattern and the found pattern (0-100; default = 50). Found patterns above, or the equivalent of, the setting are considered a match. This tool executes faster with a higher setting, which also requires a greater degree of similarity between the Model and the found pattern.Lower settings allow for a higher likelihood of less accurate results, such as detection of patterns that are similar to, but not, the Model pattern.

Defines how far the found pattern can be rotated from the position of the Model pattern and still be recognized as a valid pattern (± 0-180°; default =15°).Allowing for a greater range of rotational variance of the pattern will increase the tool's execution time.

Defines the tool's tolerance to changes in the pattern's scale, within ±10% of the trained pattern's size. By default, this setting is off (unchecked), which disables scale adjustments. In this mode of operation, the tool will still find patterns that are within ±10% range, but the score of the feature will decrease as the scale percentage increases.

Defines the allowable difference in scores that can exist between the found pattern and any of the trained Model patterns (1-20; default = 0). The value is the score difference between any two trained Model patterns, e.g. a value of 5 will ensure that the tool finds patterns whose score is at least 5 more than any other Model pattern's score.

Defines how the tool constructs the Model pattern; Area Model or Edge Model (the default). Area Model creates the Model pattern based on a uniform sampling of the grayscale values in the Model region. Edge Model creates the Model pattern based on the detected edges (light/dark transitions) of the pattern feature within the Model region.

Defines how the tool will qualify the tradeoff between accuracy/reliability versus execution speed; Accurate, Medium (the default) and Fast. Accurate specifies a focus on higher accuracy/reliability, and slower execution speed, Fast specifies a lower focus on accuracy/reliability, and faster execution speed, while Medium specifies a middle stance between the two.

Defines the amount of time, in milliseconds (0 to 30,000), that the tool will search for pattern(s) before execution is stopped and the tool returns a Fail.

Displays the name of the identified pattern.