List of Operators ↓
This chapter contains operators for 1D measuring.
With 1D measuring, edges, i.e., transitions from light to dark or from dark to light, can be located along a predefined line or arc. This allows you to measure the dimension of parts fast and easily with high accuracy. Note that if you want to measure the dimensions of geometric primitives like circles, ellipses, rectangles, or lines, and approximate values for the positions, orientations, and geometric shapes are known, 2D Metrology may be a suitable alternative.
In the following, the steps that are required to use 1D measuring are described briefly.
First, a measure object must be generated that describes the region of interest for the measurement. If the measurement should be performed along a line, the measure object is defined by a rectangle. If it should be performed along an arc, the measure object is defined as an annual arc. The measure objects are generated by the operators
Note that you can use shape-based matching (see chapter Matching / Shape-Based) to automatically align the measure objects.
Then, the actual measurement is performed. For this, typically one of the following operators is used:
extracts straight edges perpendicular to the main
axis of the measure object and returns the positions of the edge centers, the
edge amplitudes, and the distances between consecutive edges.
extracts straight edge pairs perpendicular to the
main axis of the measure object and returns the positions of the edge centers
of the edge pairs, the edge amplitudes for the edge pairs, the distances
between the edges of an edge pair, and the distances between consecutive edge
extracts points with a particular gray value
along the main axis of the measure object and returns their positions and the
distances between consecutive points.
Alternatively, if there are extra edges that do not belong to the
measurement, fuzzy measuring can be applied. Here, so-called fuzzy rules,
which describe the features of good edges, must be defined. Possible features
are, e.g., the position, the distance, the gray values, or the amplitude of
edges. These functions are created with
passed to the tool with
. Then, based on these rules, one of the
following operators will extract the most appropriate edges:
extracts straight edges perpendicular to the
main axis of the measure object and returns the positions of the edge
centers, the edge amplitudes, the fuzzy scores, and the distances between
extracts straight edge pairs perpendicular
to the main axis of the measure object and returns the positions of the first
and second edges of the edge pairs, the edge amplitudes for the edge pairs,
the positions of the centers of the edge pairs, the fuzzy scores, the
distances between the edges of an edge pair, and the distances between
consecutive edge pairs.
Alternatively to the automatical extraction of edges or points within the measure object, you can also extract a one-dimensional gray value profile perpendicular to the rectangle or annular arc and evaluate this gray value information according to your needs. The gray value profile within the measure object can be extracted with the operator
When you no longer need the measure object, you destroy it by passing the handle to
In addition to the operators mentioned above, you can use
to discard a fuzzy function of a fuzzy set that
was set via
to translate the reference point of the
measure object to a specified position,
to write the measure object to file and read it from
file again, and
serialize and deserialize the measure object.
In the following, the most important terms that are used in the context of 1D Measuring are described.
A data structure that contains a specific region of interest that is prepared for the extraction of straight edges which lie perpendicular to the major axis of a rectangle or an annular arc.
A circular arc with an associated width.
See also the the
“Solution Guide Basics” and
“Solution Guide on 1D Measuring” for further details about