• Annual Conference of KIPS
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• 2019.05a
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• pp.360-362
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• 2019

본 논문에서는 k-Means 클러스터링을 활용한 컬러 기반 이미지 추출을 통한 색각 검사 방안 연구를 진행한다. 이를 위해, RGB 컬러스페이스 기반의 이미지를 특별한 컬러스페이스 이미지로 변환 후 컬러 패턴 분포에 따라 k-Means 클러스터링을 적용하여 다양한 형태의 이미지를 추출하는 실험을 수행한다. 위의 실험을 통해 하나의 이미지를 컬러 분포 패턴을 통해 클러스터링하여 이미지를 추출을 통하여 정상인과 색각 이상자를 판별할 수 있었다. 실험 결과, 다양한 형태와 색을 가진 이미지를 추출하여 정상인이 보는 이미지와 색각 이상자가 보는 이미지가 다른 것을 확인하였다.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.120-128
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• 2017

Acute flank pain from urolithiasis is the most common condition in people visiting emergency rooms. This study is to evaluate the usefulness of color Doppler in detecting ureteral stones in patients without hydronephrosis. We performed ultrasonography and retrospective analysis on 161 patients who were suspected of urinary stones through plain radiography of the kidney, ureter, and bladder examination or urine tests that showed positive signs of hematuria. In ultrasonography, a total of 154 (95.6%) cases from the 161 patients were diagnosed with ureteral stones. In color Doppler, ureteral stones with twinkling artifact (TA) in the absence of hydronephrosis was shown in 18 (85.7%) cases of the 21 patients(p<0.001). The use of color Doppler has a high diagnostic efficacy for the detection of indistinguishable stones, non-dilatational ureteral stones, and middle ureter stones.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.7
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• pp.1319-1325
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• 2006

Urine analysis is basic test in clinical medicine using visual examination by expert nurse. Recently, this test is measured by automatic urine analysis system. But, this system has different results by each instrument. So, a new classification algorithm is required for accurate classify and urine color collection. In this paper, a intelligent color classifier of urine analysis system was designed using neural network algorithm. The input parameters are three stimulus(RGB) after preprocessing using normalization. The fuzzy inference and neural network ware constructed for classify class according to 9 urine test items and $3{\sim}7$ classes. The experiment material to be used a standard sample of medicine. The possibility to adapt classifier designed for urine analysis system was verified as classifying measured standard samples and observing classified result. Of many test items, experimental results showed a satisfactory agreement with test results of reference system.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.705-708
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• 2023

본 논문은 사용자의 피부 상태에 따라 사용자에게 적합한 화장품을 소개해주는 화장품 추천 웹 쇼핑몰, "PBTI"를 개발한다. 요즘 유행하는 성격 유형 설문조사인 MBTI에서 영감을 받아 피부 유형과 퍼스널 컬러를 검사하고 이를 기반으로 화장품을 추천하는 온라인 쇼핑몰 웹사이트를 제작하게 되었다. 바우만 교수의 피부 유형 지표를 바탕으로 제작된 질문을 통해 사용자들의 피부 유형을 검사하고 해당 피부 유형 결과에 따른 상품을 추천해주는 알고리즘이 탑재되어 사용자에게 맞는 상품을 추천해준다. 텐서플로우 기반의 인공지능을 탑재하여 퍼스널컬러 테스트를 제작하였다. PBTI의 이러한 무료 테스트 서비스 제공은 다른 온라인 뷰티 쇼핑몰과 극명한 차별점을 만들고, 쇼핑몰 매출을 크게 증대시킬 것으로 기대한다.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.291-298
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• 2016

The aim of the study was to investigate the diagnostic value of the color Doppler twinkling artifact in disease of urinary system. The intensity of twinkling artifact(TA) with color Doppler was classified into 3 levels, 0(non-TA) to 3(distinct TA). In the in vitro study, acorn jelly with various materials on top was examined using color Doppler at B-mode sonography in a water bath for TA. 31 patients with diagnosis of urinary calculi(renal stones 16, urinary stones 15) based on B-mode sonography were studied in vivo for TA. The materials with rough surfaces such as salt, screw and cubics at B-mode sonography with color Doppler contributed to causing TA. At B-mode sonography without color Doppler 37% of renal stones and 60% of ureter stones were detected. but at B-mode sonography with color Doppler TA was demonstrated for all cases. Superficial roughness of materials affected occurrence of TA at B-mode sonography with color Doppler. Therefore, TA at B-mode sonography without color Doppler could play a role in confident diagnosis of the disease of urinary system.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.7
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• pp.919-923
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• 2007

This paper presents an urine analyzer using color images of strip. An image sensor has been used to acquire an color images. The analyzer has a characteristics which takes a pictures of independent each pad responding to urine items all at once, and outputs the measured urine values by analysing an acquired pad colors. This device measures and analyses 11 urine items, and has a speed-up operation, light weight, small size, and makes accurate observations by processing the measured colors using processor. The urine analyzer transmits the urine items to peripheral devices, personal computers, hospitals, and another places by using a telegraph and a wireless interfaces.

• Clinical and Experimental Pediatrics
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• v.45 no.4
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• pp.489-497
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• 2002

Purpose : The objectives of this study were to investigate the causes of chronic cough and to establish the appropriate diagnostic approach to chronic cough in children. Methods : One hundred and thirty two cases of chronic cough were prospectively evaluated. They visitors to pediatric chronic cough clinics at Kang-nam saint Mary's Hospital of Catholic University from August 2000 to July 2001 for 12 months. Careful history taking by questionnaire, physical examination, radiologic studies of chest and sinus, hematologic and immunologic studies, allergic skin tests, and methacholine challenge tests were performed. Color doppler(CD) ultrasonography were performed and compared with simultaneous 24 Hr. esophageal pH monitoring to diagnose gastroesophageal reflux disease(GERD). Results : Age distributions were demonstrated that nine in infants, 82 in early childhood, 38 in late childhood, and three in adolescence. Common causes of chronic cough were bronchial asthma in 40 cases, chronic sinusitis in 22 cases, GERD in seven cases, bronchial asthma combined with sinusitis in 28 cases, bronchial asthma combined with GERD in 14 cases, psychogenic cough in two. cases, foreign body in one case, chronic bronchitis in one case, and bronchiolitis in one case. Comparing with 24 Hr. pH monitoring, sensitivity, specificity, positive predictive value and negative predictive values of CD ultrasonography were 88%, 69%, 85 %, and 73% respectively. Conclusion : The most common causes of chronic cough in children were bronchial asthma, sinusitis and GERD in order. We suggest that CD ultrasonography can be used as a good, convenient screening method for patients with suspected GERD in outpatient settings.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.213-215
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• 2023

본 논문은 "PBTI"라 명명한 웹사이트를 설계하고 구현한다. 요즘 유행하는 성격 유형 설문조사인 MBTI에서 영감을 받아 피부타입과 퍼스널 컬러를 검사할 수 있는 온라인 쇼핑몰 웹사이트를 제작하게 되었다. 체계적이고 다양한 질문을 통해 사용자들의 피부타입을 검사하고 해당 피부타입 결과에 따른 상품을 추천해주는 알고리즘이 탑재되어 사용자에 맞는 상품을 추천해준다. PBTI의 이러한 기능들은 다른 온라인 뷰티쇼핑몰과 극명한 차별점을 만들고, 쇼핑몰 매출을 크게 증대시킬 것으로 기대한다. 데이터베이스를 구축하기 위해 오라클을 이용하였고, 웹페이지를 구현하기 위해 스프링을 이용하였으며 팀원들과의 협업을 위해 깃허브를 사용하였다.

• The KIPS Transactions:PartB
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• v.13B no.7 s.110
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• pp.689-698
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• 2006

Pattern recognition is the study of how machines can observe the environment, learn to distinguish patterns of interest from their background, and make sound and reasonable decisions about the categories of the patterns. Color image consists of various color patterns. And most pattern recognition methods use the information of color which has been trained and extract the feature of the color. This thesis extracts adaptively specific color feature from images with several limited colors. Because the number of the color patterns is limited, the distribution of the color in the image is similar. But, when there are some noises and distortions in the image, its distribution can be various. Therefore we cannot extract specific color regions in the standard image that is well expressed in special color patterns to extract, and special color regions of the image to test. We suggest new method to reduce the error of recognition by extracting the specific color feature adaptively for images with the low distortion, and six test images with some degree of noises and distortion. We consequently found that proposed method shouws more accurate results than those of statistical pattern recognition.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.5
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• pp.37-44
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• 2011

This paper proposes a confusion-line separating algorithm in a CIE Lab color space using color segmentation for protanopia and deuteranopia. Images are segmented into regions by grouping adjacent pixels with similar color information using the hue components of the images. To this end, the region growing method and the seed points used in this method are the pixels that correspond to peak points in hue histograms that went through a low pass filter. In order to establish a color vision deficiency (CVD) confusion line map, we established 512 virtual boxes in an RGB 3-D space so that boxes existing on the same confusion line can be easily identified. After that, we checked if segmented regions existed on the same confusion line and then performed color adjustment in an CIE Lab color space so that all adjacent regions exist on different confusion lines in order to provide the best color identification effect to people with CVDs.