MorphologicalComponents[image] gives an array in which each pixel of image is replaced by an integer index representing the connected foreground image component in which the ...

Colorize[m] generates an image from an integer matrix m, using colors for positive integers and black for non-positive integers. Colorize[image] replaces intensity values in ...

Mathematica includes a variety of image segmentation techniques such as clustering, watershed, region growing, and level set as well as a rich set of functions for ...

DeleteBorderComponents[image] replaces connected components adjacent to the border in a binary image image with background pixels. DeleteBorderComponents[m] replaces ...

MorphologicalEulerNumber[image] computes the morphological Euler number of regions in a binary image. MorphologicalEulerNumber[image, t] treats values above t as foreground.

Combining methods from set theory, topology, and discrete mathematics, mathematical morphology provides a powerful approach to processing images and other discrete data. ...

DistanceTransform[image] gives the distance transform of image, in which the value of each pixel is replaced by its distance to the nearest background pixel. ...

MorphologicalPerimeter[image] picks out the morphological perimeter of regions of foreground in image. MorphologicalPerimeter[image, t] treats values above t as foreground.

CornerNeighbors is an option for various array and image processing functions that specifies whether diagonally adjacent corners should be considered neighbors of particular ...

ImageForestingComponents[image] finds a segmentation of image, returning an integer matrix in which positive integers label different components. ...