• Journal of the Korean Physical Society
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• v.73 no.11
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• pp.1644-1649
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• 2018

Aiming at infrared thermal images with different buried depth defects, we study a variety of image segmentation algorithms based on the threshold to develop global search ability and the ability to find the defect area accurately. Firstly, the iterative thresholding method, the maximum entropy method, the minimum error method, the Ostu method and the minimum skewness method are applied to image segmentation of the same infrared thermal image. The study shows that the maximum entropy method and the minimum error method have strong global search capability and can simultaneously extract defects at different depths. However none of these five methods can accurately calculate the defect area at different depths. In order to solve this problem, we put forward a strategy of "divide and conquer". The infrared thermal image is divided into several local thermal maps, with each map containing only one defect, and the defect area is calculated after local image processing of the different buried defects one by one. The results show that, under the "divide and conquer" strategy, the iterative threshold method and the Ostu method have the advantage of high precision and can accurately extract the area of different defects at different depths, with an error of less than 5%.

• Journal of Digital Contents Society
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• v.19 no.8
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• pp.1499-1506
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• 2018

The purpose of this study is to analyze the status and use of the image media in education institutions for infants and children to find out about the required image media in education institutions for infants and children. The survey included 184 teachers working in kindergartens and daycare centers in Seoul and Gyeonggi Province. They were then surveyed and statistical analysis was conducted. As a result of the study, the image media in possession and the image media in use were different. There were also differences between teacher age and class age. The results of these studies helped to identify unnecessary image media in education institutions for infants and children. It is also believed that it could contribute to providing basic data on the image media to be supported and the image media to be developed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.8
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• pp.2881-2894
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• 2014

In complicated environment, context information plays an important role in image segmentation/labeling. The recently proposed auto-context algorithm is one of the effective context-based methods. However, the standard auto-context approach samples the context locations utilizing a fixed radius sequence, which is sensitive to large scale-change of objects. In this paper, we present a scale invariant auto-context (SIAC) algorithm which is an improved version of the auto-context algorithm. In order to achieve scale-invariance, we try to approximate the optimal scale for the image in an iterative way and adopt the corresponding optimal radius sequence for context location sampling, both in training and testing. In each iteration of the proposed SIAC algorithm, we use the current classification map to estimate the image scale, and the corresponding radius sequence is then used for choosing context locations. The algorithm iteratively updates the classification maps, as well as the image scales, until convergence. We demonstrate the SIAC algorithm on several image segmentation/labeling tasks. The results demonstrate improvement over the standard auto-context algorithm when large scale-change of objects exists.

• The Mathematical Education
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• v.53 no.4
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• pp.493-507
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• 2014

The purpose of this study is to analyze how high school students form and interpret the mental image in the process of solving regular polyhedron problems. For this purpose, a set of problems about the regular polyhedron's vertex is developed on the base of the regular polyhedron's duality and circulation. and applied to 2 students of the 12th graders in D high school. After 2 hours of teaching and learning and another 2 hours of mental image-analysis process, the following research findings are obtained. Fisrt, a student who recorded medium high-level grade in the national scholastic test can build the dynamic image or the patten image in the process of solving regular polyhedron's vertex problems by utilizing the 3D geometry program. However, the other student who recorded low-level grade can build the concrete-pictorial image. Second, pattern image or dynamic image can help students solve the regular polyhedron's vertex problems by proper transformation of informations and the mental images while the concrete-pictorial image does not help. Hence, it is recommended that the mathematics teachers should develop teaching and learning materials about the regular polyhedron's duality and circulation and also give students suitable questions to build the various mental images.

• Korean Journal of Child Studies
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• v.31 no.3
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• pp.67-82
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• 2010

The purpose of this study was to examine parents' image of kindergarten teacher in a bid to provide useful information on kindergarten teacher and parents education to improve the image of kindergarten teachers. The participants in this study were 90 mothers whose young children attended kindergarten in the city of Busan. They were asked to describe what words came into their mind about the image of kindergarten teacher and what an ideal image of kindergarten teacher should be like. Among the participants, ten mothers were interviewed to tell about the ideal image of kindergarten teacher. The largest number of the parents wrote down the words that represented the image of the personality of kindergarten teachers, and love and friendliness were the most common words that the parents mentioned. As for an ideal image of kindergarten teacher, they wanted kindergarten teachers to love preschoolers, to have a good and friendly personality, to see through young children's eyes and to be positive and happy. It indicated that the parents expected their children to be educated by teachers who are understanding, cheerful, have a good personality and love children as their own children.

• Journal of Practical Engineering Education
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• v.11 no.2
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• pp.175-180
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• 2019

Existing fashion web sites show only the search results for one type of clothes in items such as tops and bottoms. As the fashion market grows, consumers are demanding a platform to find a variety of fashion information. To solve this problem, we devised the idea of linking image classification through deep learning with a website and integrating SNS functions. User uploads their own image to the web site and uses the deep learning server to identify, classify and store the image's characteristics. Users can use the stored information to search for the images in various combinations. In addition, communication between users can be actively performed through the SNS function. Through this, the plan to solve the problem of existing fashion-related sites was prepared.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.4945-4953
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• 2010

The purpose of this study was to analyze the differences in perception levels of goals and concepts of physical education by the body image and gender of middle school students. Among 461 middle students randomly selected by a multistaged cluster sampling technique, 433 students(boys 267, girls 166) filled out questionnaires consisted of Figure Rating Scale and modified ones. To know the differences in the perception levels of goal and concept of physical education by sex, t-test was utilized. In order to find out the differences in the perception levels of goal and concept of physical education by body image, ANOVA was performed using the SPSS Windows 12.0. The results of this study revealed that boys had higher level of goal and concept of physical education than girls. Second, middle school students classified into normal body image was higher level of goal and concept of physical education that other body images such as very thin, thin, very obese, and obese ones. The results of this study indicated that curriculum of physical education focused on fragmentation of health, psychomotor, cognitive, affective, leisure, holistic human should make girls understand thoroughly and deeply goals and concepts of physical education and ideal body image.

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.10a
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• pp.218-219
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• 2005

• Journal of Fashion Business
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• v.21 no.4
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• pp.44-60
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• 2017

This study is to understand the image of the Korean beauty and rewards to be gained by trying to be a beautiful person and to study differences according to demographic characteristics. It was studied with the purpose of industrializing beauty image and selling it to foreign countries. The survey questionnaire was distributed to Seoul and Kyeongkido. Respondents totaled 301. Collected data were analyzed with frequency analysis, factor analysis, $X^2$-test, and regression. Results are ; (1) The external image of Korean beauty emphasizes round face, white skin, big eyes, double eyelids, round head shape, early twenties, tall, low body weight, thin waist, long neck, long legs, and thin fingers. (2) The inner image of the Korean beauty emphasizes mature personality, social economic ability, but not housework, and cultural artistic ability. (3) Rewards gained by trying to be a beauty are psychological, actual, and social ones. (4) External face and body image of the beauty are different by demographic characteristics (sex, age, marital status, final education, monthly average income, religion). (5) The inner image of the beauty is different by age, final education, and monthly average income. (6) Rewards gained by trying to be a beauty are different by sex, age, final education, and monthly average income.

• Journal of Korea Multimedia Society
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• v.22 no.10
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• pp.1199-1207
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• 2019

Video surveillance data, which is used for preemptive or post-emptive action against any event or accident, is required for monitoring the location, but is reducing the capacity of the image data by removing intervals for cost reduction and system persistence. Such a video surveillance system is fixed in a certain position and monitors the area only within a limited angle, or monitors only the fixed area without changing the angle. At this time, the video surveillance system that is monitored only within a limited angle shows that the variation object such as the floating population shows different status in the image, and the background of the image maintains a generally constant appearance. The static objects in the image do not need to be stored in all the images, unlike the dynamic objects that must be continuously shot, and occupy a storage space other than the necessary ones. In this paper, we propose a mechanism to analyze the image, store only the small size image for the fixed background, and store it as image data only for variable objects.