• 한국산업정보학회논문지
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• 제5권3호
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• pp.65-70
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• 2000

일반적으로 농산물의 품질은 무게나 크기 등을 직접 측정하여 판정하거나 간접 또는 비파괴방법을 이용하여 판정하게 된다. 본 논문에서는 비파괴를 이용한 판정방법인 칼라 영상처리를 이용하여 농산물의 품질과 등급을 결정하는 알고리즘을 개발하여, 이를 실시간 귤 분류시스템에 적용하였다. 개발된 시스템은 귤의 크기와 색상을 칼라 영상처리 하여 초당 최대 6개를 실시간 분류 할 수 있는 성능을 가지고 있다. 또한 다른 농산물의 품질판정을 위한 제어기를 설계할 경우에도 본 논문에서 개발한 알고리즘이 적용될 수 있을 것으로 기대된다.

• 한국산학기술학회논문지
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• 제21권3호
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• pp.537-544
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• 2020

쇠고기 소비트랜드는 소비자 요구와 선호도 등에 따라 변화하고 있다. 본 연구는 한우고기 구매 소비자를 대상으로 구매성향 및 선호도 조사를 통해 쇠고기 등급제 보완방향에 대한 기초자료를 수집하였다. 조사대상자는 2017년 7월 24일부터 8월 14일에 걸쳐 서울, 경기도 및 5대 광역시에 거주하는 소비자를 대상으로 조사를 수행하였고, 무응답 등을 제외하고 최종 362명 데이터를 분석에 이용하였다. 위계적 회귀분석 결과 1등급 선호집단의 구매빈도 증가에는 마블링 형태가, 1⁺등급에서는 지방색이, 1⁺⁺등급에서는 소득, 등급제 개선 의견, 마블링 함량, 마블링 형태가 각각 정의 영향(⁺)을 미치는 것으로 분석되었다. 반면, 선호등급이 없는 집단에서는 구매빈도 증가에 영향을 미치는 변수는 없는 것으로 분석되었다. 종합적으로 살펴볼 때 구매빈도 증가에 영향을 미치는 변수들이 집단별로 다른 것으로 분석되었는데, 소도체 등급기준은 축산농가 및 산업체의 경제적 이익과 소비자 구매력에 직접적으로 연관되어 있어 매우 중요한 제도이기 때문에 생산자와 소비자 의견을 적절하게 반영하여 합리적이고 과학적인 방향으로 앞으로도 보완되어야 할 것으로 생각된다.

• 한국식품저장유통학회지
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• 제7권2호
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• pp.155-159
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• 2000

Apple fruit grading is largely dependant on skin color degree. This work reports about the possibility of nondestructive assessment of apple fruit color using infrared(NIR) reflectance spectroscopy. NIR spectra of apple fruit were collected in wavelength range of 1100~2500nm using an InfraAlyzer 500C(Bran+Luebbe). Calibration as calculated by the standard analysis procedures MLR(multiple linear regression) and stepwise, was performed by allowing the IDAS software to select the best regression equations using raw spectra of sample. Color degree of apple skin was expressed as 2 factors, anthocyanin content by purification and a-value by colorimeter. A total of 90 fruits was used for the calibration set(54) and prediction set(36). For determining a-value, the calibration model composed 6 wavelengths(2076, 2120, 2276, 2488, 2072 and 1492nm) provided the highest accuracy : correlation coefficient is 0.913 and standard error of prediction is 4.94. But, the accuracy of prediction result for anthocyanin content determining was rather low(R of 0.761).

• 복식
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• 제19권
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• pp.105-125
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• 1992

The research, aiming an automatic pattern design of Korean Costume by utilizing CAD system, tried Grading, Seaming and Marking with a theme of girl's color-strip blouse & skirt. The content & conclusion of the research can be outlined as follows; 1) As we reviewed the current situation of Korean costume which becomes more likely celebrational or festival costume, while the demand of it is getting increase, it's being dealt mostly as ready-made dresses with different qualities & designs. Especially childrens ready-made ones were highly demanded to be picked up as the theme. 2) For the original drawing of children's color-strip blouse & skirt, Kyung-Ja Park's drawing method was used here, and for the substitute of particular body parts absolute size, Joo-Won Lee's standard size chart from a size-study by ages. 3) To work with CAD system we had input master pattern, drawn for age 5 as basic size, then graded six step-sizes for 1-11 years old. For add-subtract of particular body parts size, we graded through computing the standard variation among items to get the pattern developed into ready-made standard size, we can make precise plotting by grading wanted size very rapidly if we correct the rule of changed items different from standard size to make utilization possible enough with easy order method of ready-made Korean Dress. 4) We produced Marker after attaching a margin to seam accordingly by parts for each pattern using P/D/S to mark, In mass gament-cutting, the loss of time and material can minimized. In this research the apparel CAD system which has been utilized and only be western fashion industry was introduced for the design of ready-made Korean costume and utilized it in Grading, Marking which are critical steps to improve productivity and have reported the result in the research. Thus we expect that less cost, improved productivity and better quality with minimized loss of material from marking as well as from prompt and precise size-drawing. Furthermore the utilization of CAD system is considered as an effective one in terms of the research & the development to remove effective one in terms of the research & the development to remove irrational elements in the design and production process of Korean costume as well as in terms of the study of Korean Costume development through creative works of Korean Costume.

• Advances in Traditional Medicine
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• 제6권2호
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• pp.112-120
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• 2006

The purpose of this study was to analyze whether quantitative evaluation of the color of the tongue substance using $L^*a^*b^*$ color coordinates system could minimize the problems arising from the different illuminating conditions or not. In controlled 4 different illuminating conditions (by natural light, flashlight, f-number, shutter speed),12 healthy subjects were photographed of their tongue substance through a digital camera (C-2100uz, Olympus Co.), both on the top surface and on the bottom surface of the tongue substance by two examiners, twice at 3 day intervals. Clinician evaluation was also performed grading the redness of the tongue substance in the form of 5-points scale by 6 clinicians. As a result, there was no significant difference in color differences between the color of the tongue substance and the reference red card in the 4 different illuminating conditions. Intra-rater reliability was satisfied and even though limitedly, inter-rater reliability was satisfied. Color differences were significantly correlated with the results by the clinicians, although they were applicable limitedly to specific illuminating conditions. Our results indicate that the application of the color differences in tongue diagnosis could not only evaluate the color information quantitatively, but also minimize the problems arising from the different illuminating conditions and that there was the significant difference in the visual evaluation of the red color of the tongue substance, both between the clinicians and between the illuminating conditions.

• 한국수산과학회지
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• 제33권5호
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• pp.383-387
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• 2000

액젓을 분광광도계로 최대 흡수파장을 scanning 하고, 12개월 숙성된 멸치액젓에 glucose, MSG, IMP, 카라멜색소 및 타르색소를 첨가하여 저장기간에 따라 색도의 변화를 측정하여 액젓의 품질 판정을 위한 지표로서의 사용가능성을 조사한 결과는 다음과 같다. 액젓의 종류별, 희석비별, 첨가색소별, 첨가물별에 따라서 scanning한 결과, 453nm에서 최대 흡광도를 나타내었고, 분광광도계로 453 nm에서 측정한 시판 멸치액젓의 색도는 직시색차계로 측정한 ${\delta}E$값 (색차)보다 감도가 더 좋았으므로, 액젓의 색도 측정시 직시색차계보다는 분광광도계로 453 nm에서 측정하는 것이 더 적합할 것으로 판단되었다. 숙성기간 중에는 색도값이 일정하게 증가하였으며, 까나리액젓이 멸치액젓보다 그 값이 높았다. 첨가물의 영향은, 당 (glucose)과 질소화합물 (MSG, IMP)을 첨가한 시료는 저장기간 동안 색도값이 일정하게 증가 하였으며, 농도별에 따른 큰 차이는 없었다. 색소의 영향은, 카라멜색소를 첨가한 액젓의 색도값은 첨가농도가 높을수록 높았으며, 저장기간중에 일정하게 증가하였다. 한편, 타르색소를 첨가한 액젓은 첨가농도 $0.003{\%}$ 및 $0.005{\%}$에서 저장 15일 후에 색도값이 급격히 증가하였으며, 저장기간 중에도 일정하게 증가하였다.

• 농업생명과학연구
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• 제46권1호
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• pp.133-139
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• 2012

본 연구의 목적은 축산물품질평가원의 돼지도체 등급 세부기준 중 육색등급과 일반적인 기계적 육색측정치와의 상관관계를 알아보기 위한 것인데, 총 538두의 돼지를 도축장에서 도축하여 등급판정 부위인 배최장근(longissimus dorsi)에서 육색등급과 색차계를 이용한 기계적 육색값($L^*$, $a^*$, $b^*$, ${\Delta}C$ and H)을 측정하였다. 기계적 육색측정항목은 모두 육색 등급이 높아질수록 낮아지는 경향을 나타내었는데 (p<0.05), 특히 명도 $L^*$ value)는 육색 1등급에서 65.23으로 가장 높은 값을 나타내었고, 육색 6등급에서는 45.29로 가장 낮은 값을 나타내었다(p<0.05). 한편 모든 기계적 육색측정치는 축산물품질평가원 기준 육색등급과 부의 상관관계(p<0.001)를 나타내었는데, 특히 명도는 r-value가 -0.83으로 높은 상관관계를 보였다. 따라서 기계적 육색측정치는 축산물품질평가원 기준 육색등급과 매우 밀접한 상관관계가 있으며, 특히 명도는 돼지도체의 등급판정과 육색등급판정에 있어서 유용한 참고항목이 될 것으로 사료된다.

• Journal of Biosystems Engineering
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• 제18권3호
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• pp.288-295
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• 1993

본 연구는 칼라 컴퓨터시각을 이용하여 가구에 이용되고 있는 활엽수 부재의 색에 의한 선별법을 제시하고자 수행되었다. 붉은 오우크 가구 부재를 대상으로 칼라 컴퓨터시각 시스템을 이용 화상을 얻은후 R,G,B 농도값을 근거로 나무결, 나무결함, 3가지의 색깔 즉 핑크색, 흰색, 갈색의 나무부분, 이밖에 배경에 대한 지식 베이스화를 행하여 각 부재에 대하여 이들의 비율을 quadratic Bayes classifier를 이용 구하였으며, 이 중 나무결, 나무결함, 배경을 제외한 3가지 색상에 대하여 부재가 갖는 상대적인 비율을 근거로 qadratic Bayes classifier와 neural network를 각각 이용하여 핑크색, 흰색, 갈색의 3가지 부재로 구분하였다. 선별의 정확도는 기존의 육안에 의한 선별을 기준으로 비교하였는데 qadratic Bayes classifier에 의한 선별이 91.7%, neural network을 이용한 선별이 96.7%의 높은 정확도를 보였다. 따라서 가구의 품질향상을 위한 색에 의한 부재 선별에 칼라 컴퓨터시각이 유용하게 이용될 수 있을 것으로 판단되었다.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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• pp.842-851
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• 1996

Median filter(MF) has often been applied to color or gray images as a noise fiilter in image processing . Application of MF to binary images was tried in this study. For binary images, MF not only can remove noise but can also work as an indicator showing the dominant color in a region which is called window . Fro example, MF can be used to categorize clusters and to detect interested parts of an object. In other words, MF can also be used to remove unnecessary parts. The function of MF can be intensified by introducing a thresholding value, which is determined by the size of the interested part of an object. This improved MF for binary images is called the modified median filter(MMF), and its applicability to grade produce will be discussed in this paper.

• 한국작물학회지
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• 제47권
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• pp.63-94
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• 2002

On the purpose to suggest an advanced scheme in assessing the domestic wheat quality, this paper reviewed the inspection systems of wheat in major wheat producing countries as well as the quality criteria which are being used in wheat grading and classification. Most wheat producing countries are adopting both classifications of class and grade to provide an objective evaluation and an official certification to their wheat. There are two main purposes in the wheat classification. The first objectives of classification is to match the wheat with market requirements to maximize market opportunities and returns to growers. The second is to ensure that payments to glowers aye made on the basis of the quality and condition of the grain delivered. Wheat classes has been assigned based on the combination of cultivation area, seed-coat color, kernel and varietal characteristics that are distinctive. Most reputable wheat marketers also employ a similar approach, whereby varieties of a particular type are grouped together, designed by seed coat colour, grain hardness, physical dough properties, and sometimes more precise specification such as starch quality, all of which are genetically inherited characteristics. This classification in simplistic terms is the categorization of a wheat variety into a commercial type or style of wheat that is recognizable for its end use capabilities. All varieties registered in a class are required to have a similar end-use performance that the shipment be consistent in processing quality, cargo to cargo and year to year, Grain inspectors have historically determined wheat classes according to visual kernel characteristics associated with traditional wheat varieties. As well, any new wheat variety must not conflict with the visual distinguishability rule that is used to separate wheats of different classes. Some varieties may possess characteristics of two or more classes. Therefore, knowledge of distinct varietal characteristics is necessary in making class determinations. The grading system sets maximum tolerance levels for a range of characteristics that ensure functionality and freedom from deleterious factors. Tests for the grading of wheat include such factors as plumpness, soundness, cleanliness, purity of type and general condition. Plumpness is measured by test weight. Soundness is indicated by the absence or presence of musty, sour or commercially objectionable foreign odors and by the percentage of damaged kernels that ave present in the wheat. Cleanliness is measured by determining the presence of foreign material after dockage has been removed. Purity of class is measured by classification of wheats in the test sample and by limitation for admixtures of different classes of wheat. Moisture does not influence the numerical grade. However, it is determined on all shipments and reported on the official certificate. U.S. wheat is divided into eight classes based on color, kernel Hardness and varietal characteristics. The classes are Durum, Hard Red Spring, Hard Red Winter, Soft Red Winter, Hard White, soft White, Unclassed and Mixed. Among them, Hard Red Spring wheat, Durum wheat, and Soft White wheat are further divided into three subclasses, respectively. Each class or subclass is divided into five U.S. numerical grades and U.S. Sample grade. Special grades are provided to emphasize special qualities or conditions affecting the value of wheat and are added to and made a part of the grade designation. Canadian wheat is also divided into fourteen classes based on cultivation area, color, kernel hardness and varietal characteristics. The classes have 2-5 numerical grades, a feed grade and sample grades depending on class and grading tolerance. The Canadian grading system is based mainly on visual evaluation, and it works based on the kernel visual distinguishability concept. The Australian wheat is classified based on geographical and quality differentiation. The wheat grown in Australia is predominantly white grained. There are commonly up to 20 different segregations of wheat in a given season. Each variety grown is assigned a category and a growing areas. The state governments in Australia, in cooperation with the Australian Wheat Board(AWB), issue receival standards and dockage schedules annually that list grade specifications and tolerances for Australian wheat. AWB is managing "Golden Rewards" which is designed to provide pricing accuracy and market signals for Australia's grain growers. Continuous payment scales for protein content from 6 to 16% and screenings levels from 0 to 10% based on varietal classification are presented by the Golden Rewards, and the active payment scales and prices can change with market movements.movements.