Performs supervised classification using the maximum likelihood classifier

Performs image segmentation using K-means clustering based on regional statistical measures of the mean, mode, minimum, maximum and/or range of the image pixels

Computes the number of regions in an image

Locates a possible seed point for a region in an image

Grows homogeneous regions in an image, where homogeneity is based on the region average

Merges homogeneous regions in an image, where homogeneity is based on the region average

Splits homogeneous regions in an image, where the homogeneity is based on the region range

Performs several statistical calculations on specified regions in an image

Performs adaptive thresholding on an image

Performs either binary or grayscale global thresholding on an image