Patent ID: 8300929

Claim:
A method for classifying a candidate red-eye object in a digital image, the method comprising the acts of: i) selecting a candidate red-eye object in a digital image; ii) converting RGB pixels of the candidate red-eye object into YUV pixels; iii.a) summing the YUV pixels satisfying a first constraint that is a function of the YUV pixels, and iii.b) summing the number of pixels satisfying a second constraint: x′ (r,s)3 −x′ (r,s)2 >δ′min( x (r,s)2 , x (r,s)3 ) where: x is the digital image with RGB pixels x (r,s) =[ x (r,s)1 , x (r,s)2 , x (r,s)3 ]; x′ is a YUV version of x with YUV pixels x′ (r,s) ,=[x′ (r,s)1 , x′ (r,s)2 , x′ (r,s)3 ]; (r,s) are pixel locations; and δ′ is a tunable parameter; iv) determining that the sum of iii.a) is greater than or equal to a first scaled version of the total number of YUV pixels in the candidate red-eye object, and determining that the sum of iii.b) is less than or equal to a second scaled version of the total number of YUV pixels in the candidate red-eye object; and v) transforming the candidate red-eye object into a true red-eye object.