Automatic Facial Skin Defect Detection and Recognition System
| Autor: | Heng-Yi Liao, 廖恒毅 |
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| Rok vydání: | 2011 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 99 Recently medical cosmetic has attracted significant business opportunity. Micro cosmetic surgery usually involves the minimally invasive cosmetic procedures such as non-ablative laser procedure for skin rejuvenation. However, an appropriate treatment selection for skin relies on accurate preoperative evaluation. In this paper, an automatic facial skin defects detection and recognition approach is proposed. The system firstly locates the facial region from the input image. A contour descriptor is adopted to describe the shape of faces. The views were recognized using a support vector machine. The facial features are extracted to define region of interest and an image segment method is used to extracted potential defect. A support-vector-machine-based classifier is then used to classify the potential defects into spot, acne and normal skin. Experimental results demonstrate effectiveness of the proposed approach. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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