This paper constitutes a second report regarding an experiment examining the relationship between color recognition and concomitant color expressions as experienced by middle school students and high school students. The experiment’s protocol required three steps: first, sixty subjects viewed 308 color chips; next, they recorded by themselves the proper color terms for those color chips; last, they selected the proper color terms matching both color chips and color terms. This experiment yielded several notable discoveries related to color recognition and concomitant color expressions. First, in the task examining systemic color terms, only 22.72% answers corresponded with the systemic color terms of KS A 0011. Especially notable was that the ‘Yellow’ color terms (31.35%) were at the top of the correspondence degree and the ‘Red’ color terms (16.58%) were at the bottom degree. Second, the task relating to idiomatic color terms revealed that ‘Namsack (dark blue), Bora (deep purple), Jaju (deep purplish red)’ color terms (23.33%) were at the top level and ‘Red’ color terms were at the bottom. Next, we elucidated three controversial points regarding KS A 0011: Lee, Hyun-hee․Shin, Ho-cheol. 2012. The Color Recognition and Color Expression of Co-relationship (2): A Critical Viewpoint of the National Standard Color Name ‘KS A 0011’. The Sociolinguistic Journal of Korea 20(1). pp. 235-265. This paper constitutes a second report regarding an experiment examining the relationship between color recognition and concomitant color expressions as experienced by middle school students and high school students. The experiment’s protocol required three steps: first, sixty subjects viewed 308 color chips; next, they recorded by themselves the proper color terms for those color chips; last, they selected the proper color terms matching both color chips and color terms. This experiment yielded several notable discoveries related to color recognition and concomitant color expressions. First, in the task examining systemic color terms, only 22.72% answers corresponded with the systemic color terms of KS A 0011. Especially notable was that the ‘Yellow’ color terms (31.35%) were at the top of the correspondence degree and the ‘Red’ color terms (16.58%) were at the bottom degree. Second, the task relating to idiomatic color terms revealed that ‘Namsack (dark blue), Bora (deep purple), Jaju (deep purplish red)’ color terms (23.33%) were at the top level and ‘Red’ color terms were at the bottom. Next, we elucidated three controversial points regarding KS A 0011: modifying adjectives, division of complex colors and combination of systemic color terms.

수분량, 유분량, 피부밝기, pH 등 피부 특성을 나타내는 지표들은 환경적, 유전적 요소에 따라 다르게나타난다. 하지만 이는 절대적인 피부 특성을 나타내는 것으로 사람들이 느끼는 감성적인 피부 특성과는 차이가있다. 이를 반영하듯 최근 임상 연구들은 절대적인 피부 변화를 통한 사람들의 인지 변화에 관한 연구들이 주를이루고 있다. 본 연구에서는 아시아인을 대상으로 국가별로 절대적인 피부색의 차이 뿐 아니라 실제 피부색의변화에 따라 본인들이 인지하는 피부 밝기에도 차이가 있는지를 규명하고자 하였다. 아시아 3개국 총 410명의피험자들이 본 연구에 참여하였으며 설문을 통해 본인들이 생각하는 피부밝기를 3단계로 구분하여 응답하고 본인이 생각하는 피부 밝기 변화에 따라 실제 피부색은 어떤 양상으로 변화하는지를 분석하였다. 국적에 관계 없이모든 참가자들이 공통적으로 피부색이 밝다고 느낄수록 실제 피부 밝기는 증가하는 양상을 보였지만 절대적인피부색과 피부가 밝다고 느끼는 정도는 차이가 있었다. 게다가, 피부 붉은기와 노란기의 변화도 국가별로 다른양상을 보였다. 결론적으로, 본 연구 결과에 근거하여 판단 할 때 본인들의 피부 밝기를 인지하는 요소는 절대적인 피부 밝기가 아닌 국가별로 다른 기준이 적용된다는 것을 확인할 수 있었다.

This paper proposes a building recognition algorithm using watershed image segmentation algorithm and integrated region matching (IRM). To recognize a building, a preprocessing algorithm which is using Gaussian filter to remove noise and using canny edge extraction algorithm to extract edges is applied to input building image. First, images are segmented by watershed algorithm. Next, a region adjacency graph (RAG) based on the information of segmented regions is created. And then similar and small regions are merged. Second, a color distribution feature of each region is extracted. Finally, similar building images are obtained and ranked. The building recognition algorithm was evaluated by experiment. It is verified that the result from the proposed method is superior to color histogram matching based results.