• Journal of Korea Multimedia Society
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• v.20 no.1
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• pp.10-16
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• 2017

This paper proposes efficient schemes for image segmentation using the region-based active contour model. The developed methods can approach the boundaries of the desired objects by evolving the curves through minimization of the Mumford-Shah energy functionals, given arbitrary curves as initial conditions. Topological changes such as splitting or merging of curves should be handled for the methods to work properly without prior knowledge of the number of objects to be segmented. This paper introduces how to change topological structure of the curves and shows experimental results by applying the methods to the images.

• Current Optics and Photonics
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• v.2 no.5
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• pp.436-442
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• 2018

In a spatially interlaced stereoscopic (SIS) three-dimensional (3D) display to be realized by providing the observer a part of left-eye/right-eye images, a loss of information can be perceived due to the un-shown part of each image. In order to resolve that problem, an improved SIS 3D display is proposed to deliver the images without loss of information to the observer using a time-multiplexing scheme. However, that time-multiplexing SIS also has a problem of luminance distortion when the desired luminance is not shown due to an insufficient response of the liquid crystal cell. In this paper, we propose a new method by optimizing the image data to show correct luminance with minimum distortion.

• Journal of information and communication convergence engineering
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• v.22 no.1
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• pp.80-87
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• 2024

The Manchu language holds historical significance, but a complete dataset of Manchu script letters for training optical character recognition machine-learning models is currently unavailable. Therefore, this paper describes the process of creating a robust dataset of extracted Manchu script letters. Rather than performing automatic letter segmentation based on whitespace or the thickness of the central word stem, an image of the Manchu script was manually inspected, and one copy of the desired letter was selected as a region of interest. This selected region of interest was used as a template to match all other occurrences of the same letter within the Manchu script image. Although the dataset in this study contained only 4,000 images of five Manchu script letters, these letters were collected from twenty-eight writing styles. A full dataset of Manchu letters is expected to be obtained through this process. The collected dataset was normalized and trained using a simple convolutional neural network to verify its effectiveness.

• The Journal of the Korea Contents Association
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• v.7 no.1
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• pp.40-47
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• 2007

In the protein macro array image, it is important to find out the feature of the each protein chip. A decision error by the personal sense of sight occurred from long time observation while making an experiment in many protein chip image. So the feature extraction is needed by a simulator. In the case of feature analysis for macro array scan image the efficiency is maximized. In the fluorescence scan image, the response for each cell have been depend on R, G, B distribution of color image. But it is difficult to be classified as one color feature in the case of mixed color image. In this paper, the response color of a protein chip is classified according to the fuzzy integral value with respect to fuzzy measure as the user desired color. The result of the experiment for the macro array fluorescence image with the Scan Array 5000 shows that the proposed method using the fuzzy integral is important fact to be make decision for the ambiguous color.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.1-13
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• 2020

There are many factors that influence the image quality of CMOS camera images, among which the image exposure time is an important factor. If the image exposure time is long, the entire image on the screen becomes brighter. If the exposure time is shorter, the entire image becomes darker. When photographing a still image, real time is not required because the automatic exposure system is given sufficient time to obtain an appropriate exposure time. However, if the surroundings and environment change rapidly like the black box of a driving car, the exposure time should be applied in response to real time. To this end, a robust automatic exposure system for real-time performance and ambient light environment is required. An automatic exposure system that has real-time capability and is robust against the ambient light environment is required. we designed a real-time control sysem capable of parallel operation processing through the design of an embedded system using zynq's logic and ARM core, and developed a real-time CMOS automatic exposure system that is robust to noise and converges to a desired target value within 66 ms through PID control.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.12
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• pp.6069-6091
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• 2017

Augmented Reality (AR) overlays virtual information on real world data, such as displaying useful information on videos/images of a scene. This paper presents an Enhanced AR (EAR) system that displays useful statistical players' information on captured images of a sports game. We focus on the situation where the input image is degraded by strong sunlight. Proposed EAR system consists of an image enhancement technique to improve the accuracy of subsequent player and face detection. The image enhancement is followed by player and face detection, face recognition, and players' statistics display. First, an algorithm based on multi-scale retinex is proposed for image enhancement. Then, to detect players' and faces', we use adaptive boosting and Haar features for feature extraction and classification. The player face recognition algorithm uses boosted linear discriminant analysis to select features and nearest neighbor classifier for classification. The system can be adjusted to work in different types of sports where the input is an image and the desired output is display of information nearby the recognized players. Simulations are carried out on 2096 different images that contain players in diverse conditions. Proposed EAR system demonstrates the great potential of computer vision based approaches to develop AR applications.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.1
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• pp.33-42
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• 2001

Recently, the interests in the 3D image, generated from the range data and CAD, have exceedingly increased, accordingly a various 3D image database is being constructed. The efficient and fast scheme to access the desired image data is the important issue in the application area of the Internet and digital library. However, it is difficult to manage the 3D image database because of its huge size. Therefore, a proper descriptor is necessary to manage the data efficiently, including the content-based search. In this paper, the proposed shape descriptor is based on the voxelization of the 3D image. The medial axis transform, stemming from the mathematical morphology, is performed on the voxelized 3D image and the graph, which is composed of node and edge, is generated from skeletons. The generated graph is adequate to the novel shape descriptor due to no loss of geometric information and the similarity of the insight of the human. Therefore the proposed shape descriptor would be useful for the recognition of 3D object, compression, and content-based search.

• Korean Journal of Human Ecology
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• v.18 no.4
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• pp.891-902
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• 2009

The purpose of this study is to analyze sexual images in the 21th century men's fashion, including phenomenal formative changes and characteristics. Theoretical framework was developed based on literature reviews. Photo images were collected from collections presented in 2001 to 2008 on the internet sites. By focusing on sexual image. men's fashion design was analyzed. Since 21th century, men have expressed their own fashion sense and sexual image quite freely. Men's fashion has expanded its scope into region which are not exclusively of men's traditional fashion identity realm. The result of this study is as follows: First, Noble Dandyism is common among noble dandies whose desired image is luxurious, soft, and sophisticated. Second, Bisexual Caportism is another appealing 'Youth is beautiful' trend of our modern age. Beyond age and gender, modern people pay a special attention to the Caports look which aims to project an image of healthiness, dynamism, youth, and pure balanced beauty combined with fashion. Third, Macho Narcissism enjoys showing and exposing well-trained and beautiful bodies, compared to the old masculine image which was more known for expressing an authoritative and dominant strength. Fourth, Homme Fatale Vampicism seeks to accentuate deconstructed femininity and bare legs, matted make-up, long and curly hair, especially aims to emphasize sexual charms, which naturally makes its image more fascinating.

• Journal of Nutrition and Health
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• v.43 no.3
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• pp.285-293
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• 2010

This study investigated the body image, body stress, eating attitude, and dietary quality in middle school girls. Questionnaires were administered to one hundred fifty seven middle school girls in Seoul area. The subjects were categorized into the five groups according to their body mass index (BMI); 1) severely under-weight (BMI < 16.5 $kg/m^2$), 2) under-weight (16.5 $\leq$ BMI < 18.5 $kg/m^2$), 3) normal weight (18.5 $\leq$ BM I < 23.0 $kg/m^2$), 4) overweight (23.0 $\leq$ BMI < 25.0 $kg/m^2$), and 5) obese (BMI $\geq$ 25 $kg/m^2$). 7.0%, 14.6%, 58.9%, 10.2%, and 10.2% of the subjects were classified as severely under-weight, under-weight, normal weight, overweight and obese groups, respectively. Regardless of the BMI, the subjects had disturbed body image, body stress, and poor eating attitude. The actual BMIs of the normal weight, overweight and obese subjects were significantly different from their desired BMI and perceived BMI, representing these subjects dissatisfied their body shape. Almost all subjects tried to lose their body weight even in the severely under-weight and under-weight groups. There were significant correlations of BMI with body image disturbance (p < 0.05), body stress (p < 0.01) and eating attitude (p < 0.05). These results indicated that middle school girls who have higher BMI seemed to have more body image distortion, body stress and risk of eating disorder. However, any significant difference in dietary quality among the five groups was not observed even though their dietary patterns were not balanced. As a conclusion, it is required that middle school girls should correct their distorted body image and body stress. Also, efforts to improve eating attitude, dietary pattern and nutritional status in the middle school girls are needed.

• Smart Media Journal
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• v.12 no.7
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• pp.76-83
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• 2023

This study proposes a method to assist webtoon artists in the process of webtoon creation by utilizing a pretrained Text-to-Image model to generate webtoon images from text. The proposed approach involves fine-tuning a pretrained Stable Diffusion model using a webtoon dataset transformed into the desired webtoon style. The fine-tuning process, using LoRA technique, completes in a quick training time of approximately 4.5 hours with 30,000 steps. The generated images exhibit the representation of shapes and backgrounds based on the input text, resulting in the creation of webtoon-like images. Furthermore, the quantitative evaluation using the Inception score shows that the proposed method outperforms DCGAN-based Text-to-Image models. If webtoon artists adopt the proposed Text-to-Image model for webtoon creation, it is expected to significantly reduce the time required for the creative process.