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Segmentation of the Lip Region by Color Gamut Compression and Feature Projection

색역 압축과 특징치 투영을 이용한 입술영역 분할

  • Kim, Jeong Yeop (School of Sungsim College of General Education, Youngsan Universitty)
  • Received : 2018.07.27
  • Accepted : 2018.10.30
  • Published : 2018.11.30

Abstract

In this paper, a new type of color coordinate conversion is proposed as modified CIEXYZ from RGB to compress the color gamut. The proposed segmentation includes principal component analysis for the optimal projection of a feature vector into a one-dimensional feature. The final step adopted for lip segmentation is Otsu's threshold for a two-class problem. The performance of the proposed method was better than that of conventional methods, especially for the chromatic feature.

Keywords

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Fig. 1. The color gamut mapping for x compression.

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Fig. 2.The color gamut of conventional and proposed xy of CIEXYZ system.

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Fig. 3. Sample image and u-v chromatic distribution of modified CIELuv: (a) input image, (b) uv data of image, (c) uv with xy, (d) uv with modified xy.

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Fig. 4. Flow diagram of proposed lip segmentation method.

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Fig. 5. Example test images: upper row from Cal. Tech and lower row from Georgia Tech.

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Fig. 6. 5 Examples of detection result for #50 images: (a) input image, (b) ground truth image, (c) result of rg, (d) result of xy, (e) result of uv, and (f) result of modified uv-proposed.

Table 1. Conditions for the color gamut compression with regard to each terms

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Table 2. Average results for the region segmentation [%]

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Table 3. Comparison between conventional and proposed method [%]

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