Automatic Facial Spots and Acnes Detection System

Chuan-Yu Chang^*, Heng-Yi Liao

Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin.

DOI: 10.4236/jcdsa.2013.31A006                

Abstract

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.

Keywords

Medical Image Analysis; Texture Recognition; Skin Disease Identification; Spot and Acne Detection

Conflicts of Interest

The authors declare no conflicts of interest.

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