Binary morphology🔗

Applies morphological operations to binary images. Typically used for noise reduction and shape enhancement in thresholded images.

Inputs🔗

image: A binary image. All non-zero pixels in the input image are regarded as foreground.
operation: The morphological operation to apply to the input.
maskSize: The size of the morphological mask (a.k.a the structuring element) in world coordinates. If the mask is bigger than the input image, the output image will be filled with zeros.
maskShape: The shape of the structuring element.
expandBorders: A flag that indicates whether foreground objects on image borders are assumed to expand beyond the edge. Setting this property to true makes the algorithm slower.
threshold: Threshold for automatic binarization. Every pixel with a gray level higher than or equal to threshold will be considered as a non-zero pixel.

enum Operation🔗

Binary morphology operation types.

Values:

enumerator Erode🔗: Erosion. Shrinks blobs and completely removes small ones.

enumerator Open🔗

Erosion followed by dilation.

Removes small blobs and juts, and breaks thin connections between blobs.

enumerator Close🔗

Dilation followed by erosion.

Closes holes in blobs and gaps between blobs.

enumerator TopHat🔗

Original minus opened.

Leaves only the small elements removed by opening. Also known as the white top-hat transformation.

enumerator BottomHat🔗

Closed minus original.

Leaves the small elements added by closing. Also known as the black top-hat transformation.

enum MaskShape🔗

Shapes of morphology masks.

Values:

enumerator RectangularMask🔗

The whole mask is filled with ones.

Large masks produce jagged output.

enumerator EllipticalMask🔗

Circle or ellipse, depending on the size of the mask.

Produces smooth, round output.