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보문 : 솔잎 추출물의 염색성과 기능성 (제2보) : 단백질섬유에 대한 염색성
우효정 ( Hyo Jung Woo ),이정순 ( Jung Soon Lee ) 韓國衣類學會 2011 한국의류학회지 Vol.35 No.4
The dyeing properties of protein fiber with pine needles colorants were studied through an investigation of the effect of dyeing conditions such as dye concentration, dyeing temperatures and time on dye uptakes, effect of mordants, and color change. In addition, the various colorfastness of dyed silk and wool fabrics were evaluated for practical use. The antimicrobial ability, ultraviolet-cut ability, and deodorant ability were also estimated. The dye uptake increased as the dyeing concentration increased and this enabled the obtainment of the Langmuir absorption isotherm. The dye uptake increased as the dyeing time and temperature increased. Pine needles colorants showed relatively good affinity to protein fiber and produced a yellow color. Post-mordanting was more effective than the pre-mordanting, and the dye uptake of fabrics improved by mordanting. Except for washing, the colorfastness of dyed fabrics showed a low rating. However, the colorfastness to light and the dry cleaning of fabrics mordanted with N.Cu, and the friction fastness of fabrics mordanted with Cu improved. The guide fabrics showed very good antimicrobial abilities of 99.9%; in addition, the ultraviolet-cut ability and deodorant ability improved in fabrics dyed with pine needles extracts.
보문 : 솔잎 추출물의 염색성과 기능성 (제1보) -솔잎 추출물의 특성과 셀룰로오스섬유에 대한 염색성-
우효정 ( Hyo Jung Woo ),이정순 ( Jung Soon Lee ) 한국의류학회 2011 한국의류학회지 Vol.35 No.2
Dyeing properties of cotton and ramie fabrics with pine needles colorants were studied by investigating the analysis of pine needles colorants, the effect of dyeing conditions (such as dye concentration, dyeing temperatures and times on dye uptakes), effect of mordants, and color change. The various colorfastness of dyed fabrics were evaluated for practical use; in addition, the antimicrobial ability, ultraviolet-cut ability, and deodorant ability were estimated. In the UV-Visible spectrum, the wavelength of the maximum absorption for pine needles extract was 285nm, and pine needles colorants produced a yellow color. From FT-IR and GC-MS results, it was assumed that chromophoric substance from pine needles extracts were mixed with flavonol tannin and flavanol tannin. An increased dyeing concentration resulted in a larger dye uptake and a Freundlich absorption isotherm was obtained. A larger dye uptake occurred as the dyeing time and temperature increased. Post-mordanting was more effective than pre-mordanting and the dye uptake of fabrics improved by mordanting. The colorfastness of dyed fabrics showed a low rating; however, colorfastness to washing and dry cleaning of cotton fabrics mordanted with N.Cu, and friction fastness of ramie fabric mordanted with Cu improved. The dyed fabrics showed very good antimicrobial abilities of 99.9%. In addition, the ultraviolet-cut ability and deodorant ability improved in fabrics dyed with pine needles extracts.
PCA와 템플릿 정합을 사용한 눈 및 입 영상 기반 얼굴 표정 인식
우효정(Hyo-Jeong Woo),이슬기(Seul-Gi Lee),김동우(Dong-Woo Kim),유성필(Sung-Pil Ryu),안재형(Jae-Hyeong Ahn) 한국콘텐츠학회 2014 한국콘텐츠학회논문지 Vol.14 No.11
본 연구는 PCA와 템플릿 정합을 사용한 얼굴 표정 인식 알고리즘을 제안한다. 먼저 얼굴 영상은 Haar-like feature의 특징 마스크를 사용하여 획득한다. 획득한 얼굴 영상은 눈과 눈썹을 포함하고 있는 얼굴 상위 부분과 입과 턱을 포함하고 있는 얼굴 하위 부분으로 분리하여 얼굴 요소 추출에 용이하게 나눈다. 얼굴 요소 추출은 눈 영상과 입 영상을 추출하는 과정으로 먼저 학습영상으로 PCA를 거쳐 생성된 고유 얼굴을 구한다. 고유 얼굴에서 고유 입과 고유 눈을 획득하고, 이를 얼굴 분리 영상과 템플릿 매칭시켜 얼굴요소를 추출한다. 얼굴 요소는 눈과 입이 있으며 두 요소의 기하학적 특징으로 표정을 인식한다. 컴퓨터 모의실험 결과에 따르면 제안한 방법이 기존의 방법보다 추출률이 우수하게 나왔으며, 특히 입 요소의 추출률은 99%에 달하였다. 또 이 얼굴 요소 추출방법을 표정인식에 적용하였을 때 놀람, 화남, 행복의 3가지 표정의 인식률이 80%를 상회하였다. This paper proposed a recognition algorithm of human facial expressions using the PCA and the template matching. Firstly, face image is acquired using the Haar-like feature mask from an input image. The face image is divided into two images. One is the upper image including eye and eyebrow. The other is the lower image including mouth and jaw. The extraction of facial components, such as eye and mouth, begins getting eye image and mouth image.Then an eigenface is produced by the PCA training process with learning images. An eigeneye and an eigenmouth are produced from the eigenface. The eye image is obtained by the template matching the upper image with the eigeneye, and the mouth image is obtained by the template matching the lower image with the eigenmouth. The face recognition uses geometrical properties of the eye and mouth. The simulation results show that the proposed method has superior extraction ratio rather than previous results; the extraction ratio of mouth image is particularly reached to 99%. The face recognition system using the proposed method shows that recognition ratio is greater than 80% about three facial expressions, which are fright, being angered, happiness.
표정인식을 위한 PCA와 템플릿 정합을 사용한 얼굴 요소 추출
우효정, 이슬기, 김동우, 류성필, 안재형 충북대학교 산업과학기술연구소 2013 산업과학기술연구 논문집 Vol.27 No.2
This paper proposed an extracting algorithm of human facial components for the recognition of facial expressions. First face image is acquired using the Haar-like feature mask from an input image. The face image is divided into two images. One is the upper image including eye and eyebrow. The other is the lower image including mouth and jaw. The extraction of facial components, such as eye and mouth, begins getting eye image and mouth image. Then eigenfaces are produced by the PCA training process with learning images. An eigeneye and an eigenmouth are produced from eigenfaces. Result eye image is obtained by template matching the upper image with the eigeneye, and the mouth image is obtained by template matching the lower image with the eigenmouth. The simulation results show that the proposed method has superior extraction ratio than previous method.