Abstract: A system and method for tracking, identifying, and labeling objects or features of interest is provided. In some embodiments, tracking is accomplished using unique signature of the feature of interest and image stabilization techniques. According to some aspects a frame of reference using predetermined markers is defined and updated based on a change in location of the markers and/or specific signature information. Individual objects or features within the frame may also be tracked and identified. Objects may be tracked by comparing two still images, determining a change in position of an object between the still images, calculating a movement vector of the object, and using the movement vector to update the location of an image device.

Abstract: A system and method for tracking, identifying, and labeling objects or features of interest is provided. In some embodiments, tracking is accomplished using unique signature of the feature of interest and image stabilization techniques. According to some aspects a frame of reference using predetermined markers is defined and updated based on a change in location of the markers and/or specific signature information. Individual objects or features within the frame may also be tracked and identified. Objects may be tracked by comparing two still images, determining a change in position of an object between the still images, calculating a movement vector of the object, and using the movement vector to update the location of an image device.

Abstract: A system and method for selecting follicular units for hair harvesting using imaging and processing techniques are provided. The method of selecting an order of harvesting follicular units is based on a combination of one or more policies and filters that are generally designed to improve a speed, quality and efficacy of the harvesting process. The method of the present invention may be implemented with various hair harvesting and transplantation systems, including manual, partially automated and fully automated systems.

Abstract: A system and method for classifying follicular units based on the number of hairs in a follicular unit of interest comprises acquiring an image of a body surface having a follicular unit of interest, processing the image to calculate a contour of the follicular unit and an outline profile which disregards concavities in the contour, and determining the number of defects in the outline profile to determine the number of hairs in the follicular unit. The system and method may also adjust for hairs which converge beneath the skin and for images which appear as a single wide hair but which are actually multiple hairs. In another aspect, a system and method for determining the end points of a follicular unit comprises generating a skeleton of a segmented image and identifying the end points from the skeletonized image.

Abstract: A system and method for classifying follicular units based on the number of hairs in a follicular unit of interest comprises acquiring an image of a body surface having a follicular unit of interest, processing the image to calculate a contour of the follicular unit and an outline profile which disregards concavities in the contour, and determining the number of defects in the outline profile to determine the number of hairs in the follicular unit. The system and method may also adjust for hairs which converge beneath the skin and for images which appear as a single wide hair but which are actually multiple hairs. In another aspect, a system and method for determining the end points of a follicular unit comprises generating a skeleton of a segmented image and identifying the end points from the skeletonized image.

Abstract: A system and method for counting follicular units using an automated system comprises acquiring an image of a body surface having skin and follicular units, filtering the image to remove skin components in the image, processing the resulted image to segment it, and filtering noise to eliminate all elements other than hair follicles of interest so that hair follicles in an area of interest can be counted. The system may comprise an image acquisition device and an image processor for performing the method. In another aspect, the system and method also classifies the follicular units based on the number of hairs in the follicular unit.

Abstract: A system and method for classifying follicular units based on the number of hairs in a follicular unit of interest comprises (i) acquiring a digital image of a body surface having a follicular unit of interest; (ii) selecting a region of interest with the digital image which contains the follicular unit; (iii) segmenting the selected image to produce a binary image wherein the binary image defines a contour of the follicular unit; (iv) calculating an outline profile of the binary image which disregards concavities in the contour; and (v) determining the number of defects in the outline profile to determine the number of hairs in the follicular unit. The system and method may also adjust for hairs which converge beneath the skin and for images which appear as a single wide hair but which are actually multiple hairs.

Abstract: A system and method for classifying follicular units based on the number of hairs in a follicular unit of interest comprises (i) acquiring a digital image of a body surface having a follicular unit of interest; (ii) selecting a region of interest with the digital image which contains the follicular unit; (iii) segmenting the selected image to produce a binary image wherein the binary image defines a contour of the follicular unit; (iv) calculating an outline profile of the binary image which disregards concavities in the contour; and (v) determining the number of defects in the outline profile to determine the number of hairs in the follicular unit. The system and method may also adjust for hairs which converge beneath the skin and for images which appear as a single wide hair but which are actually multiple hairs.

Abstract: A system and method for counting follicular units using an automated system comprises (i) acquiring a digital image of a body surface having skin and a plurality of follicular units; (ii) selecting a region of interest with the digital image; (iii) segmenting the selected image to produce a binary image; (iv) performing a morphological open operation on the binary image; and (v) performing noise filtering by removing objects having certain characteristics which do not correspond to hair.