1. A method of detecting and correcting a red-eye defect within a digital image, comprising: acquiring an image including one or more non red eye defect regions having a red color; performing in a first stage an initial segmentation of candidate redeye regions to determine a first set of one or more confirmed redeye regions designated for correction; analyzing pixels in a vicinity of at least one of the one or more confirmed red eye regions of the first set; analyzing the first set of confirmed redeye regions based on the analyzing of said pixels in said vicinity of said at least one of said one or more confirmed red eye regions of said first set; removing from the first set any confirmed redeye regions having at least a certain threshold probability of being a false positive based on said analyzing of said first set of confirmed red eye regions, and thereby generating a second set; correcting the second set of confirmed red eye regions and generating a red eye corrected image which has the second set of confirmed red eye regions corrected therein; and electronically storing, transmitting, further processing or editing, or displaying the red eye corrected image, or combinations thereof, wherein the performing of the first stage initial segmentation of red eye regions comprises pixel analyzing, and wherein the method further comprises falsing and verification filtering.