1. A method for segmenting a digital image into a plurality of target objects, comprising, generating a plurality of probability maps of the image, wherein each probability map is derived from a different segmentation classifier; generating a combined probability map based on the plurality of probability maps; mapping a plurality of image points based on one or more local object maxima; applying one or more object constraints based at least in part on the mapped points to identify local object information; applying one or more regional thresholds to the combined probability map, given the local object information and a background mask, to segment the image into regions; creating a segmented image at least in part by merging the segmented regions with corresponding local object maxima; and at least temporarily storing or displaying the segmented image on a digital device.