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Improved Skin Color Extraction Based on Flood Fill for Face Detection

얼굴 검출을 위한 Flood Fill 기반의 개선된 피부색 추출기법

  • Lee, Dong Woo (Dept of Plasma Bio Display, KwangWoon University) ;
  • Lee, Sang Hun (Ingenium College of Liberal Arts, KwangWoon University) ;
  • Han, Hyun Ho (Institute of Information Technology, KwangWoon University) ;
  • Chae, Gyoo Soo (Division of Information Communication Eng., Baekseok University)
  • 이동우 (광운대학교 플라즈마바이오디스플레이학부) ;
  • 이상훈 (광운대학교 인제니움학부) ;
  • 한현호 (광운대학교 정보과학교육원) ;
  • 채규수 (백석대학교 정보통신학부)
  • Received : 2019.03.15
  • Accepted : 2019.06.20
  • Published : 2019.06.28

Abstract

In this paper, we propose a Cascade Classifier face detection method using the Haar-like feature, which is complemented by the Flood Fill algorithm for lossy areas due to illumination and shadow in YCbCr color space extraction. The Cascade Classifier using Haar-like features can generate noise and loss regions due to lighting, shadow, etc. because skin color extraction using existing YCbCr color space in image only uses threshold value. In order to solve this problem, noise is removed by erosion and expansion calculation, and the loss region is estimated by using the Flood Fill algorithm to estimate the loss region. A threshold value of the YCbCr color space was further allowed for the estimated area. For the remaining loss area, the color was filled in as the average value of the additional allowed areas among the areas estimated above. We extracted faces using Haar-like Cascade Classifier. The accuracy of the proposed method is improved by about 4% and the detection rate of the proposed method is improved by about 2% than that of the Haar-like Cascade Classifier by using only the YCbCr color space.

Keywords

Haar-like;Cascade Classifier;Skin Extraction;Flood Fill;YCbCr Color Space

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Fig. 1. Haar-like elementary feature

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Fig. 2. Feature Detection using Haar-like

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Fig. 3. Cascade Classifier

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Fig. 4. 4-way Flood Fill

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Fig. 5. Flow Chart of Proposed Method

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Fig. 6. Skin Detection using YCbCr

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Fig. 7. Noise Removal Image

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Fig. 8. Flood Fill Result

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Fig. 9. Flood Fill Result(a) Original Image

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Fig. 10. Flood Fill Result

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Fig. 11. Correction using Flood Fill

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Fig. 12. Haar-like Cascade Classifier

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Fig. 13. Compared in people image

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Fig. 14. Comparing images of objects with human figures

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Fig. 15. Comparing Image of Gray Image

Table 1. Comparison with other algorithms

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Table 2. Comparison with other Skin Color Extraction

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Acknowledgement

Supported by : Kwangwoon University

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