Step Detection Function
D-1
D
S
TEP
D
ETECTION
F
UNCTION
The Dektak 150 Step Detection function enables the automatic computation of analytic functions on
scanned features using a two step process. First, the Step Detection algorithm locates the leading and
trailing edge of each scanned feature. Dektak 150 reference and measurement cursors then
automatically position at a relative distance from each detected edge, where chosen analytic functions
such as Average Step Height and Slope compute. The
Step Finder
is a filter that accentuates the
edges of a scanned feature where a high variation (high frequency) between data points exist.
STEP DETECTION METHOD
A least-squares fit algorithm determines the location of feature edges. The following variables are
used by the least-squares fit algorithm to determine the fitting criteria of a line to scanned data points.
•
First Step:
Automatically positions the R and M cursors for selected analytical functions
relative to the beginning of the first step that matches the Step Description parameters. If a
matching step is found, the ASH of the left edge and the right edge are the first two entries in
the
Analytic Results
section. If relative values are requested, they are displayed.
•
Every Step:
Positions the R and M cursors for selected analytical functions relative to every
step that matches the Step Description parameters.
Feature edges are determined by the relative change in slope of each line segment and the proximity
(minimum width) from other line segments. The operational procedure for step detection is described
in the following pages.
STEP DETECTION PARAMETERS
The
Step Detection
dialog box displays all the necessary parameters for performing the step
You can open the
Step Detection
dialog box from two of the Dektak 150 application windows. One
of the choices displayed in the dialog box depends on the window from which the box was opened:
Summary of Contents for Dektak 150
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