• Title/Summary/Keyword: 색상검사

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Improve Stereo Matching by considering the Characteristic Points of the Image and the Cost Function (영상의 특징점과 비용함수를 고려한 스테레오 정합개선)

  • Paik, Yaeung-Min;Choi, Hyun-Jun;Seo, Young-Ho;Kim, Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.7
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    • pp.1667-1679
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    • 2010
  • This thesis proposes an adaptive variable-sized matching window method using the characteristic points of the image and a method to increase the reliability of the cross-consistency check to raise the correctness of the final disparity image. The proposed adaptive variable-sized window method segments the image with the color information, finds the characteristic points in each segmented image, and varies the size of the matching window according to the existence of the characteristic points inside the window. Also the proposed cross-consistency check method processes the two cases with the cost values corresponding to the best disparity and the second-best disparity: when the cost values themselves are too large and when the difference between the two cost values are too small. The two proposed methods were experimented with the four test images provided by the Middleburry site. As the results from the experiments, the proposed adaptive variable-sized matching window method decreased up to 18.2% of error ratio and the proposed cross-consistency check method increased up to 7.4% of reliability.

A Computer Algorithm for the evaluation of elements in Face Stimulus Assessment (얼굴자극검사의 평가를 위한 컴퓨터 알고리즘)

  • Kim, Jong-Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.6
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    • pp.1961-1968
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    • 2010
  • The Face Stimulus Assessment is an efficient projective drawing test developed by Betts. This paper categorizes scales which Betts suggested into the following five groups: accuracy of painting, color fit, perception of shape, precision of drawing, and space usage. In this paper, a computer algorithm which objectively evaluates these five scales is suggested. The proposed algorithm defines the areas of the lip, eyes, hair, etc. which take on significant roles in the evaluation of the FSA and based on these factors, it calculates the grade of each scale through the main color and color ratio. The consistency of evaluations between the computer algorithm and the art therapist is measured by the Quadratic Weighted Kappa. By providing objectivity and consistency, the computer algorithm is expected to solve the problem of uncertainty found in art therapists' evaluations of projective drawing tests caused by their subjective judgment, experience, and intuition.

Performance Comparison of the Recognition Methods of a Touched Area on a Touch-Screen Panel for Embedded Systems (임베디드 시스템을 위한 터치스크린 패널의 터치 영역 인식 기법의 성능 비교)

  • Oh, Sam-Kweon;Park, Geun-Duk;Kim, Byoung-Kuk
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.9
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    • pp.2334-2339
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    • 2009
  • In case of an embedded system having an LCD panel with touch-screen capability, various figures such as rectangles, pentagons, circles, and arrows are frequently used for the delivery of user-input commands. In such a case, it is necessary to have an algorithm that can recognize whether a touched location is within a figure on which a specific user-input command is assigned. Such algorithms, however, impose a considerable amount of overhead for embedded systems with restricted amount of computing resources. This paper first describes a method for initializing and driving a touch-screen LCD and a coordinate-calibration method that converts touch-screen coordinates into LCD panel coordinates. Then it introduces methods that can be used for recognizing touched areas of rectangles, many-sided figures like pentagons, and circles; they are a range checking method for rectangles, a crossing number checking method for many-sided figures, a distance measurement method for circles, and a color comparison method that can be applied to all figures. In order to evaluate the performance of these methods, we implement two-dimensional graphics functions for drawing figures like triangles, rectangles, circles, and images. Then, we draw such figures and measures times spent for the touched-area recognition of these figures. Measurements show that the range checking is the most suitable method for rectangles, the distance measurement for circles, and the color comparison for many-sided figures and images.

Study on the Growth Factors for Rapidly Cultivating Mycobacterium spp. (마이코박테리움을 신속하게 배양할 수 있는 성장 인자에 관한 연구)

  • Ha, Sung-Il;Park, Kang-Gyun;Suk, Hyun-Soo;Shin, Jeong-Seob;Shin, Dong-Pil;Kwon, Min-O;Park, Yeon-Joon
    • Korean Journal of Clinical Laboratory Science
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    • v.51 no.2
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    • pp.177-184
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    • 2019
  • Mycobacteria grow slowly. Therefore, a solid medium should be used for eight weeks and a liquid medium for six weeks. The purpose of this study was to find the growth factors that can grow Mycobacterium rapidly and to help develop a solid medium for rapid identification. Three types of Mycobacterium growth factors were evaluated with 10 Mycobacteria by adding activated charcoal, defibrinated sheep blood, and L-ascorbic acid to $Difco^{TM}$ Mycobacteria 7H11 agar (Becton, Dickinson and Company, Sparks, MD, USA). The time to detection and the distinguishability of a colony were compared with that of the current method. In the rapidly growing Mycobacterium, the difference in detection time between the new media and conventional media confirmed that the new media was faster. M. kansasii and M. intracelluare grew faster in 7H11 C than in 7H11 medium. MTB grew faster than the other media in 7H11 C. This study confirmed that the two growth factors affect fast-growing Mycobacteria and slow-growing Mycobacteria. 7H11 C showed better distinguishability than the conventional media in all 10 Mycobacterium due to the color contrast. In particular, when the MTB was grown, the size of the colonies was larger than with other media, so visualization was easy.

Quality Analysis and Grading of Sliced-Dried 'Cheongdobansi' Persimmons Marketed in Korea (시판 청도반시 감말랭이 제품의 품질분석 및 등급화)

  • Kim, Gui-Ran;Kim, Mi-Yeung;Chung, Hun-Sik;Park, Hyun-Ju;Moon, Kwang-Deog;Kwon, Joong-Ho
    • Food Science and Preservation
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    • v.16 no.1
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    • pp.40-46
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    • 2009
  • Quality analysis and grading of sliced-dried 'cheongdobansi' persimmons marketed in Korea were investigated by analyzing the correlation coefficients between the quality properties and overall preference of the samples. There were appreciable differences in weight, length, width, thickness, soluble solid, and Hunter' color values of sliced-dried persimmons manufactured by seven different companies. The content of soluble solid was ranged from 43.44 to $47.92^{\circ}Brix$. Hunter values were 41.17-54.09, 5.62-12.36, and 10.51-20.59 for L(lightness), a(redness), and b(yellowness), respectively. In sensory test, no astringency, sourness, and musty were found in all the test samples. Sensory color, hardness and sweetness were different for each manufacturing company, while the overall acceptability was not significantly different among the samples. Qualities of samples graded according to sensory color and hardness revealed differences. The results showed that quality properties of sliced-dried 'cheongdobansi' persimmons were not uniform, however sensory color and hardness could be used as an index for quality grading.

Development of Traditional Doenjang Improved in Color (색상이 개선된 재래식 된장 개발)

  • Lee, Si-Kyung;Kim, Nam-Dae;Kim, Hyoun-Jin;Park, Jong-Sung
    • Korean Journal of Food Science and Technology
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    • v.34 no.3
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    • pp.400-406
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    • 2002
  • In case of doenjang, solution of browning problem might be an important remedy in order to dissolve consumers' dissatisfaction, therefore this study was performed to develop traditional doenjang which has improved in color aspect for consumers' needs. Physicochemical compositions and color values of commercialized traditional doenjang which was processed by history references of our country, were analyzed. doenjang used as samples were processed with traditional meju, which were made with soybean and mixed with various rates after following process such as soaking, steaming, cooling, chopping and grinding. The doenjang processed were storaged at $30^{\circ}C$ for 27 days, and their amino-N, pH, color values and sensory evaluation were analyzed with fermentation period. Furthermore, nitrogen results analyzed were compared with that of commercialized traditional doenjang. In the comparison with control, treated with only traditional meju, and doenjang treatments processed with different mixing rates of traditional meju and steamed soybean, the content of amino-N in control were higher than the others, and the contents of amino-N decreased with increasing contents of steamed soybean. Their pH were changed weak alkalic region into weak acidic region with fermentation period. In the aspect of color, traditional doenjang having the rate of traditional meju and steamed soybean (1:4) was most improved and also, in comparison of result of sensory evaluation with commercial traditional doenjang, its color, taste and falvor were evaluated predominent, therefore it might be thought to have competition on the market.

Color Factor Analysis of in Farnsworth Test Panel D-15 (색각 검사용 Farnsworth Test Panel D-15의 칼라 인자 연구)

  • Kim, Yong-Geun;Park, Sang-An
    • Journal of Korean Ophthalmic Optics Society
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    • v.5 no.1
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    • pp.31-37
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    • 2000
  • In order to color analyze of in Farnsworth Test Panel D-15 using a Protan, Deutan and Tritan test, we introduced the CIE system so that measured the reflectance light spectrum intensity in the 380~780 nm wavelength regions. The color difference of Panel D-15 was depended on the intensity of reflectance ratio in the 400~450 nm, 500~600 nm and more than 650 nm wavelength regions. From the reflectance spectra, we obtained the tristimulus X, Y, Z values, the $L^*a^*b^*$ and $L^*ab$ values of the 3-Dimension CIELAB system in a complement plane and light-darkness axis, the $U^*V^*$ values and the x, y values of chromaticity coordinates.

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Semi-auto Calibration Method Using Circular Sample Pixel and Homography Estimation (원형 샘플 화소와 호모그래피 예측을 이용한 반자동 카메라 캘리브레이션 방법)

  • Shin, Dong-Won;Ho, Yo-Sung
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2015.11a
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    • pp.67-70
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    • 2015
  • 최근 깊이 영상 기반 렌더링 방법을 이용하여 제작된 3차원 컨텐츠가 우리의 눈을 즐겁게 해주고 있다. 이러한 깊이 영상 기반 렌더링에서는 필연적으로 색상 카메라와 깊이 카메라 간의 시점 차이가 발생한다. 따라서 두 시점을 일치시키는 전처리 과정으로서 카메라 파라미터가 중요한 역할을 수행한다. 카메라 파라미터를 획득하는 과정으로 카메라 캘리브레이션이 수행된다. 널리 사용되는 기존의 카메라 캘리브레이션 방법은 평면의 체스보드 패턴을 여러 자세로 촬영한 다음 패턴 특징점을 손으로 직접 선택해야하는 불편함이 따른다. 따라서 본 논문에서는 이 문제를 해결하기 위해 원형 샘플 화소 검사와 호모그래피 예측을 이용한 반자동 카메라 캘리브레이션을 제안한다. 제안하는 방법은 먼저 FAST 코너 검출 알고리즘을 이용하여 패턴 특징점의 후보를 영상으로부터 추출한다. 다음으로 원형 샘플 화소를 검사하여 후보군의 크기를 줄인다. 그리고 호모그래피 예측을 통해 손실된 패턴 특징점을 보완하는 완전한 패턴 특징점군을 획득한다. 마지막으로 화소 정확성 향상을 통해 실수 단위의 정확성을 가지는 패턴 특징점의 위치를 획득한다. 실험을 통해 제안하는 방법이 기존의 방법과 비교하여 카메라 파라미터의 정확성은 유지하고 수작업의 불편함을 해소할 수 있음을 확인했다.

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Estimation of Bed Elevation of a Shallow River Using the Digital Aerial Photos (디지털 항공사진을 이용한 수심이 얕은 하천의 하상고 산정)

  • Lee, Chan Joo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.383-383
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    • 2015
  • 하천의 하상고 측량은 하상변동 분석, 서식처 구조 등을 이해하는데 매우 중요한 정보를 제공한다. 하지만, 현재까지 대부분의 하상고 측량은 일정한 간격의 하천 단면 측량에 의해서 행해져 왔다. 최근 GPS와 다중 빔 측심기를 이용하여 하상의 3차원적 형상을 조밀하게 측량하고 있으나 비용이 많이 들기 때문에 긴 하천 구간을 전부 측량하지는 못하고 특정한 부분에 대해서만 집중하고 있다. 항공 LiDAR의 경우 넓은 지역에 대해 신속하고 고해상도로 지형을 측량할 수 있으나 수중 투과 장비가 고가이며, 일반 적색 레이져 기반 LiDAR는 수중을 측정하지 못하여 하상 측량에 한계가 있다. 이에 대한 대안으로 활용할 수 있는 방법은 광학 기반의 원격 탐사에 의한 수심 측량 방법이다. 이 방법은 얕은 수심의 하천에 대한 활용되었는데, 광학 센서 이미지나 항공사진 등을 이용한다. 본 연구에서는 저고도에서 촬영한 고해상도 디지털 항공사진을 이용하여 모래하천의 수심을 추정하였다. 이 방법은 항공사진의 적색 및 녹색 색상값과 현장에서 정밀한 측위 하에 측량한 수심값 사이의 관계를 이용한다. 이를 통해 보정식을 수립하고 검사 자료를 이용하여 검증한 후 항공사진의 해당 지역에 대해 수심 부분을 마스킹 처리하여 하상고를 구축하였다. 검사 자료에 대한 RMSE는 약 12 cm로 나타났다. 이를 활용하여 대상 구간의 3차원적 지형 형상을 구축하였다.

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Implementation of Stereo Matching Algorithm Using GPU (GPU를 이용한 스테레오 정합 알고리즘 구현)

  • Choi, Hyun-Jun;Choi, Ji-Youn;Seo, Young-Ho;Kim, Dong-Wook
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2010.11a
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    • pp.206-208
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    • 2010
  • 본 논문에서는 최종 변이영상의 정확도를 높이기 위해 영상의 특징점을 이용한 적응적 가변 정합창 방법과 교차 일치성 검사의 신뢰도를 높이는 방법을 제안한다. 제안한 적응적 가변 정합창 방법은 색상정보를 이용하여 영상을 분할하고 분할된 각 영상의 특징점을 찾아 그 특징점들의 유무에 따라 정합창의 크기를 적응적으로 가변시키는 방법이다. 또한 제안한 알고리즘을 GPU를 기반으로 구현하여 연산속도가 평균 128배 빨라졌다.

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