HIGHER-ORDER LOCAL CO-OCCURRENCE FEATURE DERIVING METHOD AND PROGRAM

摘要

PROBLEM TO BE SOLVED: To derive a higher-order local co-occurrence feature as a higher-order concept of higher-order local autocorrelation feature quantity.;SOLUTION: A mask pattern of each order among 0 to N-th order to be used by a higher-order local autocorrelation (HLAC) which is extension of autocorrelation in which translational images are generalized so as not to be limited to only one is prepared when taking correlation with the translational images. A joint histogram of a neighboring luminance value to be referenced by the higher-order local autocorrelation (HLAC) of each of 0 to N-th order is produced relating to the mask pattern of each order among 0 to N-th order. These histograms are made as a higher-order local co-occurrence feature. The higher-order local co-occurrence feature is derived as one expansive concept of higher-order local autocorrelation (HLAC) feature quantity.;COPYRIGHT: (C)2008,JPO&INPIT