Detecting Redeye Defects in Digital Images
First Claim
1. A method for detecting a redeye defect in a digital image containing an eye, the method comprising the following steps:
- (a) converting the digital image into an intensity image,(b) segmenting at least a portion of the intensity image into segments each having a local intensity maximum,(c) thresholding a corresponding portion of the digital image to identify regions of relatively high intensity,(d) selecting a region from at least some of the regions of step (c) having substantially the highest average intensity, and(e) identifying segments from step (b) intersecting the region selected at step (d) 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.
112 Citations
12 Claims
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1. A method for detecting a redeye defect in a digital image containing an eye, the method comprising the following steps:
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(a) converting the digital image into an intensity image, (b) segmenting at least a portion of the intensity image into segments each having a local intensity maximum, (c) thresholding a corresponding portion of the digital image to identify regions of relatively high intensity, (d) selecting a region from at least some of the regions of step (c) having substantially the highest average intensity, and (e) identifying segments from step (b) intersecting the region selected at step (d) according to a pre-determined criterion. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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Specification