• The Journal of the Korea Contents Association
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• v.8 no.8
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• pp.111-118
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• 2008

Nowadays, people get images from various media like TV, magazines, newspaper, internet. Such images directly influence people's thoughts and lives, either consciously or unconsciously. In the past, reproduction devices have been mainly used in reproducing an original scene accurately. Lately, the cognitive preference became a key value in the scene reproduction, and it was affected by the surrounding media. Recently, the most commonly used device in reproducing an original scene is the camera. The core of an image is the light, in other words, the exposure. Most digital cameras are set to adjust exposure automatically in order to reproduce a scene physically as identical as possible. However, physically right exposure does not always give images that people prefers. Numbers of tests were done to find the exposure value that makes an image cognitively more preferred. Skin tones which are highly sensitive to color and changes in density has been used in the tests. A male and a female model have been used to classify changes in cognitive preference due to gender differences.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.7C
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• pp.719-725
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• 2003

The content-based image retrieval system extracts features of color, shape and texture from raw images, and builds the database with those features in the indexing process. The search in the whole retrieval system is defined as a process which finds images that have large similarity to query image using the feature database. This paper proposes a new two-stage search method in the content-based image retrieval system. The method is that the features are condensed and stored by the property of Cauchy-Schwartz inequality in order to reduce the similarity computation time which takes a mostly response time from entering a query to getting retrieval results. By the extensive computer simulations, we have observed that the proposed two-stage search method successfully reduces the similarity computation time while maintaining the same retrieval relevance as the conventional exhaustive search method. We also have observed that the method is more effective as the number of images and dimensions of the feature space increase.

• Korean Journal of Optics and Photonics
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• v.9 no.6
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• pp.368-372
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• 1998

A 16-views 3 dimensional imaging system is designed by spatially combinding two 8-views time multiplexed image channels. Each 8-views channel composed of 3 primary color CRTs and a dichroic beam splitter which combining the three CRTs as one channel. Each CRT displays 8-view images time sequentially. These images are projected to a holographic screen of a size 1$\times$0.8 $m^2$ through a projection optics. Characteristics of the three different configurations of projection optics are examined with the optics designing program "DEMOS" to select an optimized projection optics for the system. The configulation of the optimized projection optics is found like following; images from each channel combined by two-fold mirror are projected by a projection objective through a 16-strips LCD shutter. In this configuration, the shutter should be located at the entrance pupil of the objective, and the folded edge of the two-fold mirror should contact symmetrically to the center line of the shutter.e shutter.

• The Research Journal of the Costume Culture
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• v.17 no.6
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• pp.960-971
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• 2009

The purpose of this study was to observe street fashion, to determine preferred design of jean and to analyze preferred jean styling based on types of jean pants design, toward 20s to 30s women. We observed outfits of jean styles on the street using photography method and conducted a survey to 400 females to get information of consumers. Four hundred questionnaires were analyzed using SPSS. As a result of street research, the majority of people were wearing jean pants with T-shirts, sandal/high heel shoes and totes. The results of market research showed that preferred jean styles were significantly associated with age and marital status. Preferred color of jean pants was also significantly associated with age variable. Current popular jean style was a skinny style. We evaluated results of styling with different jean pants, creating five different images. There was a significant relationship between age/marital status and styling image in different jean styles. In a bootcut style, age variable was significantly associated with different styling images. Generally, most of people responded cute/casual image styling was the best for the bootcut style. In skinny pants, there was a significant association between a residence area and a styling image. Modern/chic image styling with skinny pants was the most favored one. In cropped jean pants, marital status was significantly associated with styling image created. We realized that we can create different images through a styling.

• Journal of the Korea Society of Computer and Information
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• v.13 no.3
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• pp.179-187
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• 2008

In this paper, we apply a set of algorithms to classily normal and cancer nucleus from uterine cervical pap-smear images. First, we use lightening compensation algorithm to restore color images that have defamation through the process of obtaining $1{\times}400$ microscope magnification. Then, we remove the background from images with the histogram distributions of RGB regions. We extract nucleus areas from candidates by applying histogram brightness, Kapur method, and our own 8-direction contour tracing algorithm. Various binarization, cumulative entropy, masking algorithms are used in that process. Then, we are able to recognize normal and cancer nucleus from those areas by using three morphological features - directional information, the size of nucleus, and area ratio - with fuzzy membership functions and deciding rules we devised. The experimental result shows our method has low false recognition rate.

• Korean Journal of Human Ecology
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• v.17 no.5
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• pp.975-987
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• 2008

The purpose of this thesis is to conduct a thorough research on shoes of 2000s, understand the changes and analyze the differences and the characteristics of the shoe designs of the past and present in order to predict and indicate the future direction of the women shoe designs. The shoes of the millennium not only kept the old fashioned shapes but also showed futuristic shapes. With the increasing importance of shoes in fashion, shoes with various images were created. As far as the materials are concerned, natural materials and artificial materials were both used. The colors were vivid and the futuristic colors. On the other hand, pastel toned colors and romantic colors were used in many different designs and shapes regardlees of the seasons. Straps and hills differed from the oldies. Heavy decorations were added to strap shoes to form a whole new design and hills show geometrical platforms or the avantgarde like heights. Feminine images overwhelmed the shoe designs of the millennium. To elaborate, Pumps displayed feminine images the most for it showed a high frequency number regardless of the seasons. Shoes are presented in aesthetical perspective rather then functional or practical perspectives that are based on human nature. Cultural, social, environmental and some part religious factors had a great influence on the evolution on the shoes. Especially in the 2000s, future oriented concepts were implemented on shoe designs, resulting a wider range of expressiveness and in the end leading to a more creative shoe designing. Changes in shoe designs could be pointed out in many ways according to the shapes materials, colors, modeling of decorations or also with the diverting trends.

• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.452-458
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• 2013

In this paper, we propose the method for automatically transfers images into tactile maps information based on cognition characteristics of visually impaired persons to more easily provide various image information for visually impaired persons. The proposed method automatically classify color images into row complexity and high complexity based on intensity information and transfer images into tactile map information using each different transformation process. Experimental evaluation, We performed with visually impaired five persons experiments for evaluating the recognition and satisfaction that tactile maps of the proposed automatic transforming method and the manually generated tactile maps of braille textbooks. Experimental results, the recognition and satisfaction that the tactile maps of the proposed method generated are very similar to those of the tactile maps of braille textbooks. Therefore, it could hugely be reduced the time and money of production education materials, and it could greatly improved educative results because it can add more easily that many image data of education materials.

• International Journal of Contents
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• v.5 no.3
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• pp.50-56
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• 2009

Internet is being used for several activities by a great range of users. These activities include communication, e-commerce, education, and entertainment. Users are required to register regarding website in order to enroll web activities. However, registration can be done by automated hacking software. That software make false enrollments which occupy the resources of the website by reducing the performance and efficiency of servers, even stop the entire web service. It is crucial for the websites to have a system which has the capability of differing human users and computer programs in reading images of text. Completely Automated Public Turing Test to Tell Computers and Human Apart (CAPTCHA) is such a defense system against Optical Character Recognition (OCR) software. OCR can be defined as software which work for defeating CAPTCHA images and make countless number of registrations on the websites. This study proposes a new CAPTCHA context that is Korean CAPTCHA by means of the method which is splitting CAPTCHA images into several parts with random rotation values, and drawing random lines on a grid background by using Korean characters only. Lines are in the same color with the CAPTCHA text and they provide a distortion of image with grid background. Experimental results show that Korean CAPTCHA is a more secure and effective CAPTCHA type for Korean users rather than current CAPTCHA types due to the structure of Korean letters and the algorithm we are using: rotation and splitting. In this paper, the algorithm of our method is introduced in detail.

• The korean journal of orthodontics
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• v.45 no.3
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• pp.105-112
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• 2015

Objective: A recently developed facial scanning method uses three-dimensional (3D) surface imaging with a light-emitting diode. Such scanning enables surface data to be captured in high-resolution color and at relatively fast speeds. The purpose of this study was to evaluate the accuracy and precision of 3D images obtained using the Morpheus 3D$^{(R)}$ scanner (Morpheus Co., Seoul, Korea). Methods: The sample comprised 30 subjects aged 24.34 years (mean $29.0{\pm}2.5$ years). To test the correlation between direct and 3D image measurements, 21 landmarks were labeled on the face of each subject. Sixteen direct measurements were obtained twice using digital calipers; the same measurements were then made on two sets of 3D facial images. The mean values of measurements obtained from both methods were compared. To investigate the precision, a comparison was made between two sets of measurements taken with each method. Results: When comparing the variables from both methods, five of the 16 possible anthropometric variables were found to be significantly different. However, in 12 of the 16 cases, the mean difference was under 1 mm. The average value of the differences for all variables was 0.75 mm. Precision was high in both methods, with error magnitudes under 0.5 mm. Conclusions: 3D scanning images have high levels of precision and fairly good congruence with traditional anthropometry methods, with mean differences of less than 1 mm. 3D surface imaging using the Morpheus 3D$^{(R)}$ scanner is therefore a clinically acceptable method of recording facial integumental data.

• Journal of KIISE:Databases
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• v.29 no.5
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• pp.358-366
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• 2002

Feature-based similarity retrieval become an important research issue in image database systems. The features of image data are useful to discrimination of images. In this paper, we propose the high speed k-Nearest Neighbor search algorithm based on Self-Organizing Maps. Self-Organizing Maps(SOM) provides a mapping from high dimensional feature vectors onto a two-dimensional space and generates a topological feature map. A topological feature map preserves the mutual relations (similarities) in feature spaces of input data, and clusters mutually similar feature vectors in a neighboring nodes. Therefore each node of the topological feature map holds a node vector and similar images that is closest to each node vector. We implemented a k-NN search for similar image classification as to (1) access to topological feature map, and (2) apply to pruning strategy of high speed search. We experiment on the performance of our algorithm using color feature vectors extracted from images. Promising results have been obtained in experiments.