• 제목/요약/키워드: Classified Skin color model

검색결과 2건 처리시간 0.014초

계층화된 3차원 피부색 모델을 이용한 피부색 분할 (Skin Color Region Segmentation using classified 3D skin)

  • 박경미;윤가림;김영봉
    • 한국정보통신학회논문지
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    • 제14권8호
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    • pp.1809-1818
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    • 2010
  • 피부색 영역의 검출을 위한 기존 연구들은 영상의 각 픽셀을 피부에 속하는 픽셀(피부픽셀)과 속하지 않는 픽셀(비피부픽셀)로 나누게 된다. 이때 정확한 피부색 영역을 검출하는 작업은 영상의 조명효과 및 화장에 의한 피부색 변형 등으로 매우 어려운 작업이다. 본 논문에서는 피부 영역 검출을 어렵게 하는 여러 가지 요인을 포함한 영상들로부터 효율적으로 피부영역을 검출하기 위해 계층화된 피부 모델과 컨텍스트 정보를 통합하여 피부 영역 검출의 성능을 향상시키는 방법을 제안한다. 먼저, 획득된 영상들로부터 뽑아낸 피부색 색깔 값들의 확률분포를 YCbCr칼라 공간에 만들고, 그 확률 값에 따라 피부(Skin), 피부후보(Skinness), 비피부(Non-skin)의 3계층으로 분류한 3차원 피부색 모델을 만든다. 계층화된 피부색 모델을 이용하여 각 픽셀의 피부색 여부를 결정하고, 피부후보(Skinness)색에 해당하는 경우에는 이웃 화소의 정보를 고려하여 피부색 또는 비 피부색으로 정하게 된다. 제안 방법의 사용으로 피부색이 왜곡 되었거나 피부색과 유사한 객체가 포함된 다양한 영상들에서도 효율적으로 피부 영역을 분할할 수 있었다.

Identification of Apple Cultivars using Near-infrared Spectroscopy

  • Choi, Sun-Tay;Chung, Dae-Sung;Lim, Chai-Il;Chang, Kyu-Seob
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.1624-1624
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    • 2001
  • Near-infrared spectroscopy (NIRS) was used to investigate the possibility for application in identification of apple cultivars. Three apple cultivars ‘Kamhong, Hwahong, and Fuji’ produced in Korea were scanned over the range of 1100-2500nm using NIRS (Infra Alzer 500). Two types of samples were used for scanning; one was apple with skin and the other was apple without skin. For cultivar identification, the NIR absorbance spectrums were analyzed by qualitative calibration in “Sesame” analysis program, and the various influence properties such as sugar contents, acidity, color, firmness, and micro-structure were compared in scanned samples. The ‘Kamhong’ cultivar could be identified from ‘Hwahong’ and ‘Fuji’ cultivars using the cluster model analysis. The test samples in calibration between ‘Kamhong’ and ‘Fuji’ cultivars could be completely identified. The test samples in calibration between ‘Kamhong’ and ‘Hwahong’ cultivars could be identified most of all. But, ‘Hwahong’ and ‘Fuji’ cultivars could not be quite classified each other. The apple skin influenced the identification process of apple cultivars. The samples without skin were more difficult to classify in calibration than the samples with skin. The physicochemical properties of apple cultivars showed like the result of identification in calibration using NIRS. Some physicochemical properties of ‘Kamhong’ cultivar were different from those of the other cultivars. Those of ‘Hwahong’ and ‘Fuji’ cultivars showed. similar to each other. The sucrose contents of ‘Kamhong’ cultivar were higher and the fructose contents and firmness of skin and flesh were lower than those of the others. The hypodermis layer of skin in ‘Kamhong’ cultivar was thinner than those of the others. In this studies, the identification of all apple cultivars by NIRS was not quite accurate because of the physicochemical properties which were different in the same cultivar, and inconsistent patterns by culivars in some properties. To solve these problems in NIRS application for apple cultivar identification, further study should be focused on the use of peculiar properties among the apple cultivars.

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