• The Bulletin of The Korean Astronomical Society
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• v.44 no.1
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• pp.82.3-82.3
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• 2019

In this study, we generate future full disk magnetograms in 12, 24, 36 and 48 hours advance from SDO/HMI images using deep learning. To perform this generation, we apply the convolutional generative adversarial network (cGAN) algorithm to a series of SDO/HMI magnetograms. We use SDO/HMI data from 2011 to 2016 for training four models. The models make AI-generated images for 2017 HMI data and compare them with the actual HMI magnetograms for evaluation. The AI-generated images by each model are very similar to the actual images. The average correlation coefficient between the two images for about 600 data sets are about 0.85 for four models. We are examining hundreds of active regions for more detail comparison. In the future we will use pix2pix HD and video2video translation networks for image prediction.

• Journal of radiological science and technology
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• v.41 no.2
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• pp.149-155
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• 2018

Quantitative analysis was performed to confirm that moire artifact was removed without loss of image when using grid suppression software in the diagnosis of micro lesions. we showed that grid suppression images can be morphologically different from original images as they are significantly lower than those of the optimized grid in the similarity analysis with reference images in mammographic phantom images. We were confirmed that images of microcalcification with smaller signal than noise were lost because the pixel values of all lesions increased significantly after the grid suppression, The change in contrast using the NORMI 13 X-ray test phantom was reduced to 30% of the reference image, This result was significantly lower than the 90% when using the optimized grid. In conclusion, the use of grid suppression software in clinical images should be carefully considered because of the possibility of misdiagnosis due to micro lesion loss and morphological changes.

• Journal of the Optical Society of Korea
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• v.20 no.2
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• pp.239-244
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• 2016

Mugshot face images, routinely collected by police, usually contain both frontal and profile views. Existing automated face recognition methods exploited mugshot databases by enlarging the gallery with synthetic multi-view face images generated from the mugshot face images. This paper, instead, proposes to match the query arbitrary view face image directly to the enrolled frontal and profile face images. During matching, the 3D face shape model reconstructed from the mugshot face images is used to establish corresponding semantic parts between query and gallery face images, based on which comparison is done. The final recognition result is obtained by fusing the matching results with frontal and profile face images. Compared with previous methods, the proposed method better utilizes mugshot databases without using synthetic face images that may have artifacts. Its effectiveness has been demonstrated on the Color FERET and CMU PIE databases.

• The Korean Journal of Community Living Science
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• v.19 no.3
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• pp.431-444
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• 2008

Today people obtain much information about appearances through movies. The stars' body images in movies have been created through total fashion as they play the roles of an ideal model to create actual body images. This study examined the relations between the body images in the film media in terms of appearances or total fashion and actual body images based on the simulation theory by Jean Baudrillard. It conducted a literature study by collecting and analyzing film media-related picture images from books, papers, periodicals and the Internet home and abroad. The research scope was limited to the stars who made appearances in movies and the ones who starred in movies in addition to their other lines of work. As a result, the following conclusions were drawn; the stars' body images went hyperreal between their actual body images and the ones of their roles in movies and then were simulated in fashion. To be specific, 1. the stars' actual body images went hyperreal and were simulated in fashion in the following cases; 1) the stars in the heyday of film; 2) fashionistas; and 3) pictures taken by paparazzi. 2. The body images of their roles went hyperreal in the following cases; 1) through brand participation; 2) through changed body images; and 3) through cyber body images. Their body images became hyperreal and were simulated in fashion by the input of fashion designers and the techniques of other areas. The body images in film are the object of desire to the audience. They go hyperreal and become the ideal body image to real people. The various kinds of hyperreal images in the film media create new beauty as a reference and object of comparison for people to change their body images in reality.

• The Journal of the Korea Contents Association
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• v.16 no.2
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• pp.558-565
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• 2016

Recent 3D printing technology has been grafting onto various medical practices. In light of this trend, this research is intended to examine the figuration surface's accuracy of 3D images made by using DICOM images after printing by 3D printing. The medical images were obtained from animal bone objects, while the objects were printed after undergoing STL file conversion for 3D printing purposes. Ultimately, after the 3D figuration, which was obtained by the original animal bones and 3D printing, was scanned by 3D scanner, 3D modeling was merged each other and the differences were compared. The result analysis was conducted by visual figuration comparison, color comparison of modeling's scale value, and numerical figuration comparison. The shape surface was not visually distinguished; the numerical figuration comparison was made from the values measured from the four different points on the X, Y and Z coordinates. The shape surface of the merged modeling was smaller than the original object (the animal bone) by average of -0.49 mm in the 3D printed figuration. However, not all of the shape surface was uniformly reduced in size and the differences was within range of -0.83 mm on the experiment.

• Imaging Science in Dentistry
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• v.32 no.3
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• pp.147-151
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• 2002

Purpose: To compare the standard deviation of gray levels on digital subtracted images obtained by different dental subtraction programs. Materials and Methods: Paired periapical films were taken at the lower premolar and molar areas of the phantoms involving human mandible. The bite registration group used Rinn XCP equipment and bite registration material, based on polyvinyl siloxane, for standardization. The no bite registration group used only Rinn XCP equipment. The periapical film images were digitized at 1200 dpi resolution and 256 gray levels by a flat bed scanner with transparency unit. Dental digital subtraction programs used for this study were Subtractor (Biomedisys Co., Korea) and Emago (Oral Diagnostic Systems, The Netherlands). To measure the similarities between the subtracted images, the standard deviations of the gray levels were obtained using a histogram of subtracted images, which were then analyzed statistically. Results: Subtracted images obtained by using the Emago program without manual selection of corresponding points showed the lowest standard deviation of gray levels (p<0.01). And the standard deviation of gray levels was lower in subtracted images in the group of a bite registration than in the group of no use of bite registration (p < 0.01). Conclusion: Digital radiographic subtraction without manual selection of reference points was found to be a convenient and superior method.

• Journal of the Korean Home Economics Association
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• v.49 no.1
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• pp.121-133
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• 2011

This research was designed to compare the subjective evaluation of texture image and preference between offline and online by structural characteristics of women' jacket fabrics for spring and summer. 78 participants evaluated the sensibility image and preference of various fabrics. The data were analysed by factor analysis, t-test, Pearson's productive correlation, regression, and multi dimensional scale. The results were as follows: Sensibility image factors of women' jacket fabrics were 'classic' 'sophisticated' 'natural' 'characteristic' and 'practical'. Between offline and online, sensibility images showed no differences. In sensibility images, 'classic'-'sophisticated', 'natural'-'practical', and 'practical'-'characteristic' images showed significant correlation. By analyzing the contribution of fabric structure on sensibility images, density affected on the 'classic' image offline and online. By the results of regression analysis, thickness, density and weave affected on the tactile preference. In sensibility images, 'classic', 'sophisticated' 'characteristic' images were the influencing factor. 'Sophisticated', 'natural', 'characteristic' and 'practical' images affected on the purchase preference.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.2
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• pp.277-285
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• 1997

The prupose of this study were to: (1) Analize the contents o( the cosmetics advertisements, (2) Compare the ideal woman images perceived by women with the women images profected through models used in the cosmetics advertisements, (3) Compare the ideal clothing images perceived by women with the clothing images profected through models used in the cosmetics advertisemtnts, and (4) Study and analise the purchase patterns of the women in theirtwenties. The subjects for this study were selected from students attending the Ewha Women's University. The study was done through video presentation, and questionnaire based on several previous studies, For the analysis of data, SPSS statistical packages were used. The results of emprical studies were summarized as follows: 1, As the result of the analysis of the current cosmetics advertisenents, the copies were mostly sentimental and short, the models mostly were casual dresses and their attitudes were active and natural for the most part. 2. The result of comparison between the images of women shows noticeable difference in that, the women tend to idealize independent intellectual and refined woman where as the models tend to be free, airy, outgoing and cute. 3. The ideal clothing images perceived by women tendto be intellectual, dignified, and neat, while the clothing worn by the models tend to be casual, cute, and sexy, thus showing noticeable discrepancy.

• Journal of Korean Public Health Nursing
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• v.27 no.3
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• pp.633-646
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• 2013

Purpose: The purpose of this study was to compare the images, knowledge, and stereotypes plus perceptions about the elderly between students in nursing class and those in other classes and to determine the correlation among variables. Methods: The subjects of this study were 400 students, 200 from nursing class and 200 from other classes(premedical students were excluded) from one university. Result: Images the elderly of all participants showed an average score of 2.96(${\pm}0.376$), total average score of knowledge about the elderly was 16.22(${\pm}2.356$), and average score for stereotypes plus perception was 2.92(${\pm}0.394$). Comparison between students in nursing class and those in the other classes showed that students in the nursing class had deeper knowledge regarding physical and physiological fields of the elderly, however they had comparatively negative cognition in the images and stereotypes plus perceptions about the elderly. In addition interest in the elderly and volunteer experiences were significantly affected by the images and stereotypes plus perceptions. Images, knowledge, and stereotypes plus perceptions about the elderly showed significant positive correlation. Conclusion: In development of curriculum related to the elderly in nursing class, development of specific and diverse approaches that will raise positive awareness of the elderly is necessary.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.5
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• pp.800-807
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• 2008

The purpose of this study is to compare the subjective texture of actual objects and their picture images on the Internet to find out a method to present visual images in order to supply information similar real objects. For this study, seven knit fabrics and four presentation methods of visual images including twice magnifications and two dimensions of 2D and 3D. The results of this study were as follows: There are significant differences among subjective textures evaluated by touching seven fabrics actually and we can verify the effects of fiber contents and loop length of knit on textures. We can find out differences of texture depending on presentation methods. In case of 2D evaluation of knits fabrics, visual images of real size present a little exact information on roughness and heaviness whereas those of twice magnification do roughness, wetness, softness and luster. And 3D images give us more exact information of textures on softness, heaviness and warmness, but rather twice enlarged 3D image can't supply an information of heaviness texture.