Illumination normalization method for processing face images
A face image, normalization technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problems of illumination invariant features, feature information loss, unfavorable face recognition, etc.
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[0062] Step 1, set an actual face grayscale image affected by light as f(x,y), such as figure 2 As shown, its size is 80×80 pixels, and logarithmic transformation is performed on it to obtain
[0063] Step 2, calculate the shadow layer image
[0064] 2.1) Calculate the difference image of the face image f(x,y) obtained in step 1 in the x direction: That is, the difference between the gray value of the left and right adjacent pixels of the image in the horizontal direction;
[0065] 2.2) Calculate the face image obtained in step 1 Difference in the y direction: That is, the difference between the gray value of the upper and lower adjacent pixels of the image in the vertical direction;
[0066] 2.3) Calculate each element A of matrix A i,j Such as formula (1):
[0067] A i , j = - λ ...
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