ComputeImageSharpness

Computes a measure of the relative focus of an input image as part of an iterative process for refocusing a the lens of an In-Sight Spreadsheet camera.

ComputeImageSharpness Overview

Called the image sharpness score, this measure indicates the degree to which the image, or a region of interest (ROI), includes the smallest resolvable features in a "scene" (that is, the object and its background as captured in the image).

Operation is simple—an image is acquired, and the ComputeImageSharpness tool obtains the image sharpness score. Then, the lens is refocused, nothing else is changed within the scene and a new image is acquired and scored. The higher the score, the sharper the focus. This process is repeated until the focus is acceptable to the user.

Note: A single image sharpness score conveys no useful information about the absolute sharpness of an image. It must be compared with another image sharpness score from the exact same scene. The scenes must be identical.

Inputs

Parameter

Description

Image

This parameter must use Cell References in a spreadsheet cell that contains an Image data structure. By default, this parameter references A0, the cell containing the Image data structure returned by the AcquireImage function. This parameter can also reference other Image data structures, such as those returned by the Vision Tool Image FunctionsImage Functions or Coordinate Transforms Functions.

Fixture

Defines the Region of Interest (ROI) relative to a Fixture input or the output of the image coordinate system for the Vision Tools function. Setting the ROI relative to a Fixture ensures that if the Fixture is rotated or translated, the ROI is rotated or translated in relation to the Fixture.

Note: 2D projections use real world units but fixturing with 2D tools requires input in pixel values. When using a 2D projection from a 3D point cloud as a Fixture, convert the real world units to pixel values using the TransWorldToPixel function.

The default setting is (0,0,0), the top leftmost corner of the image.

X	The X-offset, in image coordinates.
Y	The Y-offset, in image coordinates.
Theta	The rotation from the image X-axis, in the image coordinate system. (+/-360 degrees clockwise)

Region

Also known as the Region of Interest (ROI), specifies the region of the image that undergoes analysis. Double-click on the Region parameter to create an Interactive Graphics Mode that you can transform and rotate. Select this parameter and press the Maximize Region button on the Job Edit toolbar of the property sheet to automatically stretch the region to cover the entire image.

X	The X-offset of the origin, in fixture coordinates.
Y	The Y-offset of the origin, in fixture coordinates.
Width	The dimension along the X-axis of the region.
Height	The dimension along the Y-axis of the region.
Angle	The orientation, in fixture coordinates.
Curve	Angle between sides, +/- 360 degrees clockwise

Operation

Gradient Energy: Computes image sharpness based on the energy in the local grey-level gradient of the image or the ROI. The local grey-level gradient represents the rate of change in greyscale values for a given area. An abrupt change in greyscale results in a large magnitude in the grey-level gradient and a higher image sharpness score.

Smoothness

Specifies an image-smoothing operation to help eliminate high-frequency noise that might be present in the ROI. There are three settings:

0 = None (default)	No smoothing takes place; provides the fastest performance.
1 = Smoothing Level 1	A degree of smoothing is applied to the ROI; eliminates very-high-frequency noise in the ROI.
2 = Smoothing Level 2	A further degree of smoothing is applied to the ROI; eliminates high-frequency and very-high-frequency noise in the ROI.

Show

Specifies which graphical overlays are displayed on top of the image.

0 = hide all (default)	The available graphics items will be hidden, except when the cell containing the ComputeImageSharpness function is highlighted in the spreadsheet.
1 = input graphics only	The graphics items associated with the input image region will be displayed at all times.