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: An apparatus for automatically separating hair follicles includes a follicle separating unit configured to cut a skin tissue of a scalp cut from a back of a head of an alopecic patient in units of follicles and to classify follicles by a number of hairs included in each follicle in an incisional hair transplant or to classify follicles each directly extracted from the back of the head of the alopecic patient by the number of hairs included in each follicle in a non-incisional hair transplant, and a follicle separation control unit configured to control an operation of the follicle separating unit.

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: A follicle identifying device includes an image acquiring unit configured to acquire an image of a follicle and a hair included in the follicle for each follicle separated from a scalp cut from back of a head of an alopecic patient in an incisional hair transplant or each follicle directly extracted from back of a head of an alopecic patient in a non-incisional hair transplant, an image processing unit configured to extract edges of a follicle and a hair from the image of the follicle and the hair acquired by the image acquiring unit, a hair count determining unit configured to determine a hair count in the follicle based on the edges of the follicle and the hair extracted by the image processing unit, and a control unit configured to output the hair count in the follicle determined by the hair count determining unit.

Abstract: An apparatus for automatically separating hair follicles includes a follicle separating unit configured to cut a skin tissue of a scalp cut from a back of a head of an alopecic patient in units of follicles and to classify follicles by a number of hairs included in each follicle in an incisional hair transplant or to classify follicles each directly extracted from the back of the head of the alopecic patient by the number of hairs included in each follicle in a non-incisional hair transplant, and a follicle separation control unit configured to control an operation of the follicle separating unit.