• 한국표면공학회지
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• 제54권2호
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• pp.84-89
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• 2021

The visual inspection method is widely used for corrosion damage analysis of steel plate due to the cost-efficient, fast and reasonably accurate results. However, visual inspection of corrosion deteriorated degree has a problem that the reliability of results differs depending on the inspector's individual knowledge and experience. In this study, we evaluated the degree of corrosion from a given image by using image segmentation method based on the grabcut and HSV(Hue, Saturation, Value) color image processing techniques for the development of an automatic inspection tool. The code written in Python based OpenCV-python libraries was used to categorize the images.

• 한국표면공학회지
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• 제56권6호
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• pp.353-370
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• 2023

Corrosion detection and analysis is a very important topic in reducing costs and preventing disasters. Recently, image processing techniques have been widely applied to corrosion identification and analysis. In this work, we briefly introduces traditional image processing techniques and machine learning algorithms applied to detect or analyze corrosion in various fields. Recently, machine learning, especially CNN-based algorithms, have been widely applied to corrosion detection. Additionally, research on applying machine learning to region segmentation is very actively underway. The corrosion is reddish and brown in color and has a very irregular shape, so a combination of techniques that consider color and texture, various mathematical techniques, and machine learning algorithms are used to detect and analyze corrosion. We present examples of the application of traditional image processing techniques and machine learning to corrosion detection and analysis.

• Journal of Biosystems Engineering
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• 제39권4호
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• pp.318-323
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• 2014

Purpose: This study was carried out to predict the growth period and fresh weight of sprouts grown in a cultivator designed to grow sprouts under optimal conditions. Methods: The temperature, light intensity, and amount of irrigation were controlled, and images of seed sprouts were acquired to predict the days of growth and weight from pixel counts of leaf area. Broccoli, clover, and radish sprouts were selected, and each sprout was cultivated in a 90-mm-diameter Petri dish under the same cultivating conditions. An image of each sprout was taken every 24 hours from the 4th day, and the whole cultivating period was 6 days, including 3 days in the dark. Images were processed by histogram inspection, binary images, image erosion, image dilation, and the overlay image process. The RGB range and ratio of leaves were adjusted to calculate the pixel counts for leaf area. Results: The correlation coefficients between the pixel count of leaf area and the growth period of sprouts were 0.91, 0.98, and 0.97 for broccoli, clover, and radish, respectively. Further, the correlation coefficients between the pixel count of leaf area and fresh weight were 0.90 for broccoli, 0.87 for clover, and 0.95 for radish. Conclusions: On the basis of these results, we suggest that the simple image acquisition system and processing algorithm can feasibly estimate the growth period and fresh weight of seed sprouts.

• 핵의학기술
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• 제18권1호
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• pp.134-139
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• 2014

ASIR기법은 statistical noise modeling을 사용하여 CT image를 reconstruction하는 방법으로, mA를 낮춰도 이미지 질을 보전하며 noise reduction 효과가 있다고 알려져 왔다. 본 논문은 본원에서 주로 하는 bone SPECT/CT에 ASIR 기법을 적용하여 이미지를 평가하였다. GE의 Discorvery 670을 이용하여 120 kVp, 100 mA를 기준으로 mA를 변화시켜서 ASIR의 적용 전과 적용 후 영상을 비교하였다(ASIR level: 20-80%). Anthropomorphic phantom으로 ASIR (%)의 변화에 따른 SPECT image의 감쇠 보정 정도를 측정하였다. 두번째로 ACR phantom으로 CT image의 CNR, image noise, spatial resolution을 평가하였다. 세 번째로 lower torso phantom을 이용하여 spine에 최적화할 수 있는 ASIR level을 선택한 후 2명의 bone SPECT/CT follow up 환자에게 ASIR를 적용하여 영상을 획득한 후 5년 이상의 경험이 있는 10명의 방사선사에게 blind test를 시행하였다. SPECT의 영상의 감쇠 보정 정도는 ASIR의 변화와는 무관하게 모두 유의한 차이가 없었다(P>0.05). ASIR을 적용했을 때 CT image의 noise는 mA의 변화에 따라 최소 17%에서 최대 52%까지 감소하였다. ASIR를 적용하지 않았을 때 CNR은 40 mA에서 0.42를 보여준 반면 ASIR를 적용한 40 mA (ASIR 60%)에서도 0.8 이상을 유지하였다. High contrast 영역의 비교에서는 ASIR 적용과 상관없이 40 mA까지 12 lp/cm 영역을 구별할 수 있었다. Lower torso phantom의 spine image에서 100 mA image와 육안적으로 비슷한 ASIR level은 60% (40 mA) 정도였고, bone SPECT/CT에 적용한 후 blind test에서 육안적으로 ASIR를 적용하지 않았을 때와 차이를 구별하지 못하였다. 본 논문의 결과는 SPECT/CT에서 ASIR 기법을 사용했을 때 SPECT와 CT image의 특별한 영상의 질 저하 없이 radiation dose를 줄일 수 있다는 것을 보여준다. 또한 관심부위가 bone에 한정되어 있는 bone SPECT/CT 특성상 더 높은 ASIR level도 가능할 것으로 사료된다.

• 전기전자학회논문지
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• 제22권1호
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• pp.68-73
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• 2018

본 논문에서는 $360^{\circ}$ 원형영상을 평면영상에 매핑하기 위한 효율적인 알고리즘을 제안한다. 제안된 알고리즘은 평면영상의 크기 구하기, 카메라와 평면영상 사이의 각 지점에 따른 거리 계산, 카메라와 평면영상이 수평으로 이루는 각도 산출, 카메라와 평면영상이 수직으로 이루는 각도 산출, $360^{\circ}$ 원형영상의 픽셀들을 평면영상의 픽셀에 매칭시키는 픽셀의 위치 계산 등 5단계로 구성된다. 제안한 $360^{\circ}$ 원형영상을 평면영상에 매핑하기 위한 효율적인 알고리즘을 평가하기 위하여 실험한 결과, 매핑된 평면영상의 복원율은 99%, 매핑된 평면영상의 화질은 72%로서 상용 소프트웨어의 기준치보다 높은 결과를 산출했기 때문에 알고리즘의 효용성이 확인되었다.

• 패션비즈니스
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• 제12권4호
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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.

• 한국의상디자인학회지
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• 제18권4호
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• pp.31-46
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• 2016

This study would inquire into the fashion image and design characteristics of Peng Liyuan, the first lady of China that has a mighty influence on the recent global economy and consumption. For this purpose, first, this study investigated the fashion image of Peng Liyuan according to the role which she performs as a first lady and analyzed how the fashion image appears and changes by year and role type. Second, this study analyzed the design characteristics of Peng Liyuan's fashion image, focusing on the silhouette, fashion items, coordinated items, colors, and textile patterns. The scope of the research was limited to the dresses worn by Peng Liyuan from March 14, 2013 to September 30, 2015. The fashion image of Peng Liyuan changed from classic and elegant image to modern image till 2015, and she reduced ethnic image and emphasized romantic image. In international diplomatic visits, she tried to express the confidence and potential of China through classic, ethnic and modern image, while in formal events of China, she showed an intention to communicate with the Chinese public with soft intimacy through elegant and ethnic images. As design characteristics in her fashion image, she flexibly changed her fashion image by the composition of silhouettes and items, which could cover her mid-life body type and made use of the form and detail of Chinese traditional qipao, appropriate coordination of scarves and brooches, the combination of chromatic color and achromatic color, appropriate uses of textile patterns and the delivery of China's image according to place and purpose. The study of Peng Liyuan's fashion image has significance to understand the fashion trend as a role model of fashion for the Chinese people and can help the domestic fashion industry that aims at the Chinese market in the future by predicting Chinese women' Fashion trend.

• Communications for Statistical Applications and Methods
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• 제9권2호
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• pp.355-366
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• 2002

The web is one of the most plentiful sources of images. The web has an immediate need for image processing technology in Java. This paper provides a practical introduction to statistical image processing using Java on the web. The paper describes how images are represented in Java and deals with four image processing operations based on basic statistical methods: point processing, spatial filtering, edge detection and image segmentation.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.1007-1010
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• 2002

In this paper, we present a new blocking artifact reduction algorithm using interpolation and signal adaptive filter (SAF) based on the edge map. Generally, block-based coding, such as JPEG and MPEG, is the most popular image compression method. However, for high compression it produces noticeable blocking and ringing artifacts in the decoded image. In proposed method, all the block is classified into low and high frequency blocks in block classification procedure. And edge map is obtained by using Sobel operator on decoded image. And according to the block property we applied blocking artifacts reduction algorithm. Namely, four neighbor low frequency block is participated in interpolation based on edge map. And ringing artifacts is removed by applying a signal adaptive filter around the edge using edge map in high frequency block. The computer simulation results confirmed a better performance by the proposed method in both the subjective and objective image qualities.

• 한국인쇄학회지
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• 제20권2호
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• pp.131-140
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• 2002

Chemically amplified deep UV(CA-DUV) resists are typically based on a combination of an acid labile polymer and a photoacid generator(PAG) but acid amplification type photoresist is formulated by addition of the acid amplifiers to chemically amplified resist system(CAPs). We developed acid amplifiers base on cyclohexanediol such as 1-methacryloyloxy-4-tosyloxy cyclohexane(MTC) and poly(MTC$_{10}$-co-tBMA$_{90}$)(P-1) to enhance photosensitivity. P-1 is a copolymer of tert-butyl methacrylate and MTC as a positive working photoresist based on polymeric acid amplifier in order to enhance photosensitivity and simplify the process of fomulating a photoresist. P-1 exhibited 2X higher photosensitivity compared with PtBMA. The acid amplifiers showed reasonable thermal stability for resist processing temperature and higher photosensitivity compared with chemically amplified resist.