Table Of Contents

Classify Contour Distances (G Dataflow)

Last Modified: October 26, 2017

Classifies the distance between an image containing a contour and a template image containing a contour.

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contour image in

Reference to the image containing the target contour.

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template image in

Reference to the template image.

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distance classes

Array with one element for every distance class.

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minimum distance

Minimum distance of the sample in contour image in to the sample in template image in.

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maximum distance

Maximum distance of the sample in contour image in to the sample in template image in.

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class label

Class to which the sample belongs.

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smoothing kernel

Size of the smoothing kernel.

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error in

Error conditions that occur before this node runs.

The node responds to this input according to standard error behavior.

Standard Error Behavior

Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.

error in does not contain an error error in contains an error
If no error occurred before the node runs, the node begins execution normally.

If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.

If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

Default: No error

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match setup data

String that contains information from the Setup Match Contour Pattern node.

If this input is not connected, the node uses default parameters for all unconfigured options.

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contour image out

Reference to the image containing the target contour.

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template image out

Reference to the template image.

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classified distances

Array containing the classified distances.

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length (pixel)

Length, in pixels, of the curves within the curvature range.

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length (real)

Length, in calibrated units, of the curves within the curvature range.

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maximum distance (pixel)

Maximum distance, in pixels, between points along the selected contour and the template contour.

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maximum distance (real)

Maximum distance, in calibrated units, between points along the selected contour and the template contour.

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class label

Class to which the the sample belongs.

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template subsection

Array of points that defines the boundary of the template.

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x

X-coordinate of the point.

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y

Y-coordinate of the point.

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target subsection

Array of points that defines the boundary of the target.

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x

X-coordinate of the point.

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y

Y-coordinate of the point.

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error out

Error information.

The node produces this output according to standard error behavior.

Standard Error Behavior

Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.

error in does not contain an error error in contains an error
If no error occurred before the node runs, the node begins execution normally.

If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.

If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

Where This Node Can Run:

Desktop OS: Windows

FPGA: Not supported

Web Server: Not supported in VIs that run in a web application


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