Binarize[image] creates a binary image from image by replacing all values above a globally determined threshold with 1 and others with 0. Binarize[image, t] creates a binary ...

TooltipBox["9~"]BinaryImageQ[image] yields True if image has the form of a binary Image or Image3D object, and False otherwise.

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 ...

FindThreshold[image] finds a global threshold value that partitions the intensity values in image into two intervals.

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

Inpaint[image, region] retouches parts of image that correspond to nonzero elements in region.

ColorQuantize[image, n] gives an approximation to image that uses only n distinct colors.

Pruning[image] removes the outermost branches of thin objects in image by setting their values to black. Pruning[image, n] removes branches that are at most n pixels long. ...

ChanVeseBinarize[image] finds a two-level segmentation of image by computing optimal contours around regions of consistent intensity in image. ChanVeseBinarize[image, marker] ...

MorphologicalBranchPoints[image] gives a version of a binary image image in which white pixels represent the morphological branch points.