Detect Blobs

Recognizes blob contours. To do this, a threshold value is first applied to the input image. A contour search is then carried out using blob detection.

Optionally, a Boolean signal can be selected for the Enable Execution input so that the algorithm is only active if the value of the selected signal is TRUE.

Configuration options

Filter By Area: Activates filtering by area. This must lie between Min Area and Max Area. Recommended for noise suppression.
Filter By Circularity: Activates filtering by circularity. This must lie between Min Circularity and Max Circularity. It is defined as follows: 4pi * area / perimeter².
Min Area: (Visible when the By Area filter is activated) Minimum area of a blob in pixels.
Max Area: (Visible when the By Area filter is activated) Maximum area of a blob in pixels.
Min Circularity: (Visible when the By Circularity filter is activated) Minimum circularity (1: ideal circle, < 1: less circular, 0: not circular).
Max Circularity: (Visible when the By Circularity filter is activated) Maximum circularity (1: ideal circle, < 1: less circular, 0: not circular).
Threshold: Threshold value for the binary image.

Output values

Count Results: Is incremented when a new result is provided.
hr: HRESULT error code that outputs the result of the processing.
Number Of Objects: Displays the number of objects found.
Image: Initial image of the algorithm.
Contour List: Container in which the contours found are made available.
New Result: (Optional) TRUE if a new result is provided.
Image Threshold: (Optional) Image to which the set threshold is applied.
Image Preview: (Optional) Image in which the objects found are marked.