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- W2017341429 abstract "이미지를 감성으로 쾌 또는 불쾌, 긴장 또는 평온의 구분 감성을 트리 형식으로 가중치를 부여하여 평가한다. 이미지 대표평가 감성인 명도대비를 평가 기준으로 1차는 쾌, 불쾌 또는 긴장 또는 평온이고 2차는 세분화 이미지 감성으로 구분한다. 4개의 감성인식을 수치화 된 명도대비 데이터로 측정한다. 평가 구현은 OpenCV를 통해 명도대비를 그래프화하여 긴장, 평온, 쾌, 불쾌 값 변화에 따라 4개 감성으로 구분하여 컴퓨팅한다. 감성 컴퓨팅으로 명도대비의 입력된 값에 따라 '불쾌'를 '쾌' 또는 '긴장'을 '평온'으로 감성적 변화를 줄 수 있다. 이미지 감성의 규칙성을 계산화 된 컴퓨팅 시스템으로 제어할 수 있고 향후 산업방향에 감성 인식의 적용에 대한 긍정적인 역할을 할 것이다. Image of emotional pleasure or displeasure, tension or emotional division of tranquility in the form of a tree is evaluated by weighting. Image representative evaluation of the sensitivity of the brightness contrast ratings 1 car pleasure, displeasure or stress or emotional tranquility and two cars are separated by image segmentation. Emotion Recognition of four compared to the numerical data is measured by brightness. OpenCV implementation through evaluation graph the stress intensity contrast, tranquility, pleasure, displeasure, depending on changes in the value of the computing is divided into four emotional. Contrast sensitivity of computing the brightness depending on the value entered 'nuisance' to 'excellent' or 'stress' to 'calm' the emotional changes can give. Calculate the sensitivity of the image regularity of localized computing system can control the future direction of industry on the application of emotion recognition will play a positive role." @default.
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- W2017341429 date "2013-11-28" @default.
- W2017341429 modified "2023-10-18" @default.
- W2017341429 title "Emotional Tree Using Sensitivity Image Analysis Algorithm" @default.
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- W2017341429 doi "https://doi.org/10.5392/jkca.2013.13.11.562" @default.
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