Recently medical cosmetic has
attracted significant business opportunity. Micro cosmetic surgery usually
involves invasive cosmetic procedures such as non-ablative laser procedure for
skin rejuvenation. However, to select an appropriate treatment for skin relies
on accurate preoperative evaluations. In this paper, an automatic facial skin
defects detection and recognition method is proposed. The system first locates
the facial region from the input image. Then, the shapes of faces were recognized using a contour descriptor. The
facial features are extracted to define regions of interest and an image
segment method is used to extract potential defect. A
support-vector-machine-based classifier is then used to classify the potential
defects into spots, acnes and normal skin. Experimental results demonstrate
effectiveness of the proposed method.
Cite this paper
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