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.