Abstract: An apparatus for determining defective hair follicles includes an image acquiring unit for acquiring an image of a follicle and a hair for each follicle separated from a scalp of an alopecic patient in an incisional hair transplant or each follicle directly extracted from an alopecic patient in a non-incisional hair transplant, an image processing unit for extracting an outline pattern of the image of the follicle and the hair by performing a contour detection process or an edge detection process on the image, a follicle shape database for storing hair pixel patterns related to various shapes of hairs and follicle pixel patterns related to various shapes of follicles, and a follicle determining unit for determining whether a follicle is normal follicle or defective follicle by comparing the outline pattern of the image with the hair pixel patterns and follicle pixel patterns stored in the follicle shape database.

Abstract: In the present invention, virtual stereoscopic information is extracted from two-dimensional images of a user's hairline to identify the depth of the head and hairline information; it recommends a hairline that harmonizes with the user's hairline shape and/or overall facial shape, measures the approximate hair density at the forehead line, and determines the required number of hairs depending on the chosen hairline shape; the invention automatically diagnoses the required hair count, promotes the necessity of hair transplantation, and enhances the accuracy of hair self-diagnosis; this is achieved through an application execution method and a hair self-diagnosis service device that utilizes the same.