Automatic facial skin defect detection system

Chuan Yu Chang, Shang Cheng Li, Pau-Choo Chung, Jui Yi Kuo, Yung Chin Tu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

Skin analysis is one of the most important procedures before medical cosmetology. Most conventional skin analysis systems are semi-automatic. They often require human intervention. In this study, an automatic facial skin defect detection approach is proposed. The system first detects human face in the facial image. Based on the detected face, facial features are extracted to locate regions of interest. Then, a pattern recognition approach is applied to detect facial skin defects, such as spots and wrinkles, in the regions of interest. For a specific kind of defect, a classifier is designed to provide higher performance for recognition. Using few features extracted from the region of interest, the proposed approach can successfully detect the skin defects. Experimental results demonstrate effectiveness of the proposed approach.

Original languageEnglish
Title of host publicationProceedings - 2010 International Conference on Broadband, Wireless Computing Communication and Applications, BWCCA 2010
Pages527-532
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Event5th International Conference on Broadband Wireless Computing, Communication and Applications, BWCCA 2010 - Fukuoka, Japan
Duration: 2010 Nov 42010 Nov 6

Publication series

NameProceedings - 2010 International Conference on Broadband, Wireless Computing Communication and Applications, BWCCA 2010

Other

Other5th International Conference on Broadband Wireless Computing, Communication and Applications, BWCCA 2010
CountryJapan
CityFukuoka
Period10-11-0410-11-06

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Automatic facial skin defect detection system'. Together they form a unique fingerprint.

Cite this