DETECTING REDEYE DEFECTS IN DIGITAL IMAGES
First Claim
1. A method for correcting a defect in a digital image containing an eye, the method comprising:
- converting the digital image into an intensity image,identifying a group of pixels containing an eye region within the intensity image;
segmenting the group of pixels containing the eye region of the intensity image into segments each having a local intensity extremum,thresholding a corresponding portion of the digital image to identify at least two regions of relatively extreme intensity, including a pupil and one or both of an iris or an eyelid;
selecting a region from the at least two regions identified in the thresholding step having substantially the most extreme average intensity, andidentifying segments from the segmenting step intersecting the region selected at selecting step according to a pre-determined criterion.
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Abstract
A method for detecting a redeye defect in a digital image containing an eye comprises converting the digital image into an intensity image, and segmenting the intensity image into segments each having a local intensity maximum. Separately, the original digital image is thresholded to identify regions of relatively high intensity and a size falling within a predetermined range. Of these, a region is selected having substantially the highest average intensity, and those segments from the segmentation of the intensity image whose maxima are located in the selected region are identified.
108 Citations
14 Claims
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1. A method for correcting a defect in a digital image containing an eye, the method comprising:
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converting the digital image into an intensity image, identifying a group of pixels containing an eye region within the intensity image; segmenting the group of pixels containing the eye region of the intensity image into segments each having a local intensity extremum, thresholding a corresponding portion of the digital image to identify at least two regions of relatively extreme intensity, including a pupil and one or both of an iris or an eyelid; selecting a region from the at least two regions identified in the thresholding step having substantially the most extreme average intensity, and identifying segments from the segmenting step intersecting the region selected at selecting step according to a pre-determined criterion. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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Specification