Wrinkle detection method, wrinkles detection apparatus and wrinkle detection program, as well as, wrinkles evaluation method, wrinkles evaluation apparatus and wrinkles evaluation program
This wrinkle detection method: acquires face data of a subject； sets an analysis region upon a predetermined section of the acquired face data； with respect to the set analysis region, generates a plurality of wrinkle component extracted data units in which wrinkle components that extend in one direction within an angle range, which is pre-set for each predetermined section of the face, in which a wrinkle is likely to extend, or wrinkle components that extend in a plurality of angles that are different from one another, are each extracted； generates a plurality of wrinkle component weighted data units in which wrinkle components have been weighted with respect to each of the plurality of wrinkle component extracted data units； generates combined data in which the plurality of wrinkle component weighted data units have been combined with one another in order to detect a wrinkle component having a magnitude greater than or equal to a predetermined threshold in the combined data as a wrinkle of the subject.
