| | Input: The z sets of IDO parameters with the largest difference values, para_1, para_2,...,para_z; the pixels in six directions were obtained according to each set of parameters, a1i, a2i, a3i, a4i, b1i, b2i, b3i, b4i, c1i, c2i, c3i, c4i, where i = 1, 2,...,z; | | | Output: The optimal parameters, Opt_para; | | (1) | Para = (para_1, para_2,...,para_z) | | (2) | val_1 = (a11 − a31)2 + (a21 − a41)2 + (b11 − b31)2 + (b21 − b41)2 + (c11 − c31)2 + (c21 − c41)2 | | (3) | val_2 = (a12 − a32)2 + (a22 − a42)2 + (b12 − b32)2 + (b22 − b42)2 + (c12 − c32)2 + (c22 − c42)2 | | (4) | ... | | (5) | val_z = (a1z − a3z)2 + (a2z − a4z)2 + (b1z − b3z)2 + (b2z − b4z)2 + (c1z − c3z)2 + (c2z − c4z)2 | | (6) | Value = [val_1, val_2,...,val_z] | | (7) | Index = Value.index (max (Value)) #get the index of maximum | | (8) | Opt_para = Para [Index] | | (9) | return Opt_para |
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