1. A method for detecting a redeye defect in a digital image containing an eye, comprising: converting the digital image into an intensity image, segmenting at least a portion of the intensity image into segments each having a local intensity maximum, thresholding a corresponding portion of the digital image to identify one or more regions of relatively high intensity, selecting a region from the one or more regions having the highest average intensity, and identifying one or more of said segments intersecting the region according to a pre-determined criterion, and wherein the average intensities of two regions of the one or more regions having the highest and next highest average intensities differ by more than a predetermined amount, and said region comprises the region having the highest average intensity.