Filtering Parameters (Filtering)

Treat the images loaded from the camera in order to make them easier to measure.

You can select from 10 filtering methods to match the image state.

In the item tab area, tap [Filter param].

Set each item while checking the image.

Setting item	Set value [Factory default]	Description
ON	Through	The latest image is always input from the camera and displayed.
ON	[Freeze]	The image that was scanned in the immediately preceding measurement is displayed. Images can be updated at any time during measurement.
Target	[Camera image]	Filtering is applied to the images input from the camera that is set before this unit ( [Filtering]) in the scene. Filtering is not performed.
Target	Prev. unit image	Filtering is applied to the images which have been processed by the [Position Compensation] and [Filtering] units that are set before this unit ( [Filtering]) in the scene.
Filtering order	[Filtering → BGS ] BGS → Filtering	Select the sequence of background suppression/filtering.
Filtering	[OFF] Weak smoothing Strong smoothing Dilate Erosion Median Extract edges Extract vertical edges Extract horizontal edges Enhance edges	Select the type of filtering. Filtering options and examples
Filter size	[3×3] 5×5	Select whether to use information from several surrounding pixels. With mask size, the larger the setting value, the more of the surrounding pixel variation that can be assimilated.
Background suppression level	[0] to [255]	While looking at your image, specify the upper and lower limits for RGB to suppress as the background. Background suppression level

Filtering Options and Examples

Treat the images loaded from the camera in order to make them easier to measure.

Types of filtering	The problems to be treated	Filtering description	Example
Weak smoothing Strong smoothing	Small flecks on the measurement object	Makes flecks less visible.	Makes stable searching possible and stable area measurement possible.
Dilate	Dark noise exists	This filtering removes dark noise by enlarging brighter areas.	Measurement object noise removal
Erosion	Brighter noise exists	This filtering removes brighter noise by shrinking brighter areas.	Measurement object noise removal
Median	Small flecks on the measurement object	This filtering keep the profile and weaken flecks.	Edge positioning (Accuracy is not reduced)
Extract edges	Due to a comparatively lower image contrast, defects are difficult to extract	Extracts the boundary lines of the image (light and shade).	Defect inspection
Extract vertical edges	Due to a comparatively lower image contrast, defects are difficult to extract	Extracts the boundary lines vertical to the image (light and shade).
Extract horizontal edges	Due to a comparatively lower image contrast, defects are difficult to extract	Extracts the boundary lines horizontal to the image (light and shade).
Enhance edges	The measurement object is blurry (due to changes such as lighting fluctuation).	Clearly delineates the boundary lines between the light and dark in the image.	Edge positioning

Notes on Filtering Setting

If filtering is applied to the image, the area around the image frame will become unstable. When a [Filtering] processing item has been set in the scene, ensure that measurement ranges, etc. set for other processing items are not included in the area around the image frame.

The width not included in the measurement rage will vary depending on the mask size settings.

Filter size: 5 x 5
Make settings so that a width around the image frame equal to 2 pixels is not included in the measurement range.
Filter size: 3 x 3
Make settings so that a width around the image frame equal to 1 pixels is not included in the measurement range.

When a partial scan is used to limit the load range

Set so as to not include the image loading range surroundings.

The width that will not be included in the measurement range is the same as the above. (In the following figure, filter size:5 x 5).

Illustration of notes about filtering setting

Background Suppression Level

The images below the lower limit and above the upper limit will be set to the lower and upper limits of brightness, respectively.

Only images with a density of 100 to 220 can be measurement objects.