Abstract:This paper presents a novel follicular unit (FU)classification method based on an angle variation of a boundary vector according to the number of hairs in several FU images. The recently developed robotic FU harvest system, ARTAS, classifies through digital imaging the FU type based on the number of hairs with defects in the contour and outline profile of the FU of interest. However, this method has a drawback in that the FU classification is inaccurate because it causes unintended defects in the outline profi… Show more
“…It uses information about the type, angle, orientation, and direction of hair . A few limitations have been observed and resolved by using another steps to calculate the angle variations …”
It will help the hair restoration surgeons and dermatologists to identify the various pattern and also to help in deciding the appropriate size of the punch in FUE.
“…It uses information about the type, angle, orientation, and direction of hair . A few limitations have been observed and resolved by using another steps to calculate the angle variations …”
It will help the hair restoration surgeons and dermatologists to identify the various pattern and also to help in deciding the appropriate size of the punch in FUE.
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