• Journal of the Korea Society of Computer and Information
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• v.21 no.11
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• pp.31-38
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• 2016

In this paper, we propose multi-scale infrared target detection algorithm with varied filter size using integral image. Filter based target detection is widely used for small target detection, but it doesn't suit for large target detection depending on the filter size. When there are multi-scale targets on the sky background, detection filter with small filter size can not detect the whole shape of the large targe. In contrast, detection filter with large filter size doesn't suit for small target detection, but also it requires a large amount of processing time. The proposed algorithm integrates the filtering results of varied filter size for the detection of small and large targets. The proposed algorithm has good performance for both small and large target detection. Furthermore, the proposed algorithm requires a less processing time, since it use the integral image to make the mean images with different filter sizes for subtraction between the original image and the respective mean image. In addition, we propose the implementation of real-time embedded system using FPGA.

• Health Policy and Management
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• v.23 no.4
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• pp.415-426
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• 2013

Background: This study was aim to identify the specific words and to develop the scale for the public health center (PHC) image. Methods: We collected 824 words from the previous studies and by open questions and reduced them by 77 words, then which were rated properly by 355 citizens of Seoul. We examined explanatory factor analysis for 69 words, and examined content validity test and confirmatory factor analysis (CFA) for the image structures (4 factors and 16 words). And then we developed the image questionnaire using them through council. We conducted a survey and retested the PHC image scales as the measuring tool targeting 2,000 persons, and compared the inexperience and experience persons for PHC usage. Results: The image structures were consisted of 4 factors and 16 words such as 'trustworthiness' (warm, exemplary, faithful, service-mindedness, beneficial to health), 'fairness' (honesty, clear, consistent, ruled), 'development possibility' (changing, goal-directed, developmental, propulsive), and 'flexibility' (not authoritative, not perfunctory, not rigid) in total. Cronbach's ${\alpha}$ values of all factors were above 0.7. As a result of CFA, model fit indexes yielded satisfactory results (root mean square error of approximation [RMSEA] 0.049, goodness of fit index [GFI] 0.937, and adjusted goodness of fit index [AGFI] 0.912). According to the result of retest for measuring tool by using other samples, Cronbach's ${\alpha}$ values were above 0.8, and model fit indexes yielded satisfactory results (RMSEA 0.059, GFI 0.952, AGFI 0.933). RMSEAs of the inexperiences and the experiences were each 0.59, 0.68. Conclusion: A reliable, valid, and generalizable scale was created for PHC image.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.493-493
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• 2017

부유사 수리실험에서 부유사의 농도를 측정하는 것은 불확실성이 매우 크다. Einstein(1950)은 유사의 pickup function 결정에서 이러한 불확실성 때문에 유사입자의 거동을 발생시키는 양력의 확률을 적용하기도 하였다. 일반적으로 부유사의 측정은 부유사 채집기를 통해 수행하지만, 시간적으로 비효율 적이며, 채집 시 채집기의 부피로 인한 난류 발생으로 채집 후 흐름 변화가 발생할 수 있다. 수리실험의 규모라면 이 문제는 더욱 부각될 수 있다. 연속적인 부유사의 농도 측정을 위해 이러한 점은 개선되어야 하는 문제이다. 본 연구에서는 유사 실험의 이러한 단점을 극복하고자 image processing 기법을 적용하였다. Image processing은 부유사의 농도가 증가할수록 탁도가 증가하는 특성을 이용하여, 부유사 농도를 추정하는 방법이다. 이 과정에서 RGB(Red-Green-Blue)로 색을 표시하는 방식에서 image를 변환하여 gray scale로 전환해야 하며, 파(wave)의 전파에 의한 image 결과의 변형은 없다고 가정하였다. Gray scale과 탁도와의 관계를 도출하기 위해 하상에 유사를 포설하고, 단파(surge)를 발생 시켰다. 실험은 길이 12.0m, 폭 0.8m, 높이 0.75m의 개수로에서 수행하였으며, 수로 상류에 sluice형 gate를 급격하게 개방하는 것으로 단파를 재현하였다. 탁도 측정을 위해 유사 채집기를 이용하였으며, 상기에서 제시한 흐름 교란문제로, 1지점에서 1개의 시간동안만 채집을 수행하였으며, image의 촬영을 병행하였다. 또한 data의 정확도를 높이기 위해 3번의 반복실험을 수행하였다. 실험결과 gray scale과 탁도와는 일정한 관계가 나타났으며, 이를 토대로 gray scale-SSC(suspended sediment concentration)와의 관계를 도출하였다. Bayesian 분석을 이용하여 image processing의 보정(확률적 보정)을 추가적으로 수행하였다. 최종적으로 실측한 값과 image processing을 통한 값을 1:1 curve를 통해 비교하였으며, 약 9%의 평균 오차가 발생하여, image processing과 bayesian 적용을 통한 부유사 농도 측정은 신뢰할 만한 결과를 도출하는 것으로 판단된다.

• Journal of Electrical Engineering and Technology
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• v.10 no.6
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• pp.2384-2392
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• 2015

The technical development and practical applications of big-data for health is one hot topic under the banner of big-data. Big-data medical image fusion is one of key problems. A new fusion approach with coding based on Spherical Coordinate Domain (SCD) in Wireless Sensor Network (WSN) for big-data medical image is proposed in this paper. In this approach, the three high-frequency coefficients in wavelet domain of medical image are pre-processed. This pre-processing strategy can reduce the redundant ratio of big-data medical image. Firstly, the high-frequency coefficients are transformed to the spherical coordinate domain to reduce the correlation in the same scale. Then, a multi-scale model product (MSMP) is used to control the shrinkage function so as to make the small wavelet coefficients and some noise removed. The high-frequency parts in spherical coordinate domain are coded by improved SPIHT algorithm. Finally, based on the multi-scale edge of medical image, it can be fused and reconstructed. Experimental results indicate the novel approach is effective and very useful for transmission of big-data medical image(especially, in the wireless environment).

• Korean Journal of Remote Sensing
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• v.34 no.6_3
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• pp.1351-1367
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• 2018

Image registration is an essential process for image fusion, change detection and time series analysis using multi-sensor images. For this purpose, we need to detect accurately the difference of scale and rotation between the multi-sensor images with difference spatial resolution. In this paper, we propose a new feature matching method using variable circular template for image registration between multi-resolution images. The proposed method creates a circular template at the center of a feature point in a coarse scale image and also a variable circular template in a fine scale image, respectively. After changing the scale of the variable circular template, we rotate the variable circular template by each predefined angle and compute the mutual information between the two circular templates and then find the scale, the angle of rotation and the center location of the variable circular template, respectively, in fine scale image when the mutual information between the two circular templates is maximum. The proposed method was tested using Kompsat-2, Kompsat-3 and Kompsat-3A images with different spatial resolution. The experimental results showed that the error of scale factor, the error of rotation angle and the localization error of the control point were less than 0.004, $0.3^{\circ}$ and one pixel, respectively.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.1-6
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• 2014

Emotion recognition is defined as that machines automatically recognize human emotions. Because the human emotions is very subjective, it is impossible to measure objectively. Therefore, the goal of emotion recognition is to obtain a measure that is agreed by as many people as possible. Emotion recognition in a image is implemented as the method that matches human emotions to the various features of the image. In the paper, we propose an emotion recognition system using color features of clothing image based on the Kobayashi's image scale. The proposed system stores colors of image scale into a database. And extracted major colors from a input clothing image are compared with those in the database. The proposed system can obtain three emotions maximally. In order to evaluate the system performance 70 observers are tested. The test results shows that recognized emotions of the proposed system are very similar to the observers emotions.

• Journal of Broadcast Engineering
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• v.20 no.4
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• pp.521-532
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• 2015

This paper presents a piecewise image denoising with multi-scale block region detector based on quadtree structure for effective image restoration. Proposed piecewise image denoising method suggests multi-scale block region detector (MBRD) by dividing whole pixels of a noisy image into three parts, with regional characteristics: strong variation region, weak variation region, and flat region. These regions are classified according to total pixels variation between multi-scale blocks and are applied principal component analysis with local pixel grouping, bilateral filtering, and structure-preserving image decomposition operator called relative total variation. The performance of proposed method is evaluated by Experimental results. we can observe that region detection results generated by the detector seems to be well classified along the characteristics of regions. In addition, the piecewise image denoising provides the positive gain with regard to PSNR performance. In the visual evaluation, details and edges are preserved efficiently over the each region; therefore, the proposed method effectively reduces the noise and it proves that it improves the performance of denoising by the restoration process according to the region characteristics.

• Journal of Fashion Business
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• v.12 no.4
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• pp.99-113
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• 2008

The purpose of this study is to compare the social image and the external image of a Korean woman in 1970s and find out that the make-up can provide an important clue to examine the image of a woman in a given period. The research scope covered 10 top news of the daily newspapers and articles of women's magazines. A focus was made to an analysis on words and photos from them. The relationship of each image scale was examined by comparing the linguistic image scale and the visual image scale. The results were as follows : First, a frugal and tidy image. It was the look of our tidy, simple, traditional and classic woman. Second, an image of a cute and pure lady of refined manners. In 1970s, women were supposed to be 'a loving wife', a cultured female image with a faithful role of a 'wise mother' and a lady of refined manners as the best value. Third, a frivolous and decadent image. Double-faced image of a woman which included the women, who had to live as the lady of refined manners during the daytime and seductive woman during the night. Fourth, an image of a contemporary working woman. It was the image as a chic, confident and dignified working woman requested by the society of the times. Namely, it can be understood that women had a make-up of a soft and gorgeous tone as an expression of a will to keep a confident and female aspect in the course of working in the society by the women experiencing 1970s, the turbulent period. Consequently, it is possible to understand that the make-up was utilized as a means to express an ideal beauty of the time pursuant to the historical background or feature.

• Journal of KIISE:Software and Applications
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• v.29 no.9
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• pp.631-644
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• 2002

In this paper efficient algorithms for content-based video retrieval using motion information are proposed, including temporal scale-invariant retrieval and temporal scale-absolute retrieval. In temporal scale-invariant video retrieval, the distance transformation is performed on each trail image in database. Then, from a given que교 trail the pixel values along the query trail are added in each distance image to compute the average distance between the trails of query image and database image, since the intensity of each pixel in distance image represents the distance from that pixel to the nearest edge pixel. For temporal scale-absolute retrieval, a new coding scheme referred to as Motion Retrieval Code is proposed. This code is designed to represent object motions in the human visual sense so that the retrieval performance can be improved. The proposed coding scheme can also achieve a fast matching, since the similarity between two motion vectors can be computed by simple bit operations. The efficiencies of the proposed methods are shown by experimental results.

• Fashion & Textile Research Journal
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• v.10 no.3
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• pp.322-328
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• 2008

This study examined Korean college women's perceptions of their body image, ideal body, and body satisfaction. Five research questions assessed participants: 1) self-defined image, 2) ideal body image, 3) body dissatisfaction, 4) body satisfaction, and 5) perceptions of their friends' weight concerns. A convenience sample of 101 female college students participated in the study. Respondents' average age is 20.78, ranging from 18 to 36 years. Two approaches were used to define Korean college women's body image and body satisfaction: A scale of illustration showing nine females' body drawing, and a verbal scale for the satisfaction with body image. The findings revealed that Korean college women pursue "thinness." Although they were somewhat happy with their height, the development of their figure, and their overall good looks, they were significantly dissatisfied with their weight. These results indicate that Korean college women would benefit from positive body image education.