Adept AdeptSight User Guide - Manual (Page 288)

Advanced Properties
l
Adaptive Low Sensitivity uses a low sensitivity, adaptive threshold for
detecting edges. Adaptive Low Sensitivity detects strongly defined edges
and eliminates noise, at the risk of losing significant edge segments.
l Adaptive Normal Sensitivity sets a default sensitivity threshold for detect-
ing edges.
l Adaptive High Sensitivity detects weaker edges, at the risk of adding
noise.
l Fixed Value sets an absolute value for sensitivity to contrast. A typical
use of a fixed value is an application in which there is little variance in
lighting conditions.
o Higher values reduce sensitivity to contrast. This reduces noise
and decreases the number of low-contrast edges detected.
o Lower values increase sensitivity to contrast. This detects more
edges, at the expense of adding more noise. This may generate
false detections and/or slow the search process.
Maximum Angle Deviation
Maximum Angle Deviation is the maximum allowable deviation in angle between the arc
hypothesis and the arc found by the tool.
The deviation is calculated between the tangent angle of the arc at points where the edge is
matched to the arc.
Positioning Level
Positioning Level sets the effort level of the instance-positioning process. The range is from
10 (coarser positioning and lower execution time) to 100 (high-accuracy positioning of arcs).
Subsampling Level
This property sets the subsampling level used to detect edges that are used by the tool to gen-
erate hypotheses.
l Higher values provide a coarser search, with a faster execution time.
A higher subsampling value may help improve accuracy in blurry images.
l
Lower values can provide a more refined search, with slower execution time.
Results Logging
If enabled, the results of the tool will be logged to a file.
AdeptSight User's Guide, Version 3.2.x, Updated: 8/23/2012
Page 288