• Proceedings of the Korea Multimedia Society Conference
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• 한국멀티미디어학회 2002년도 춘계학술발표논문집(상)
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• pp.272-276
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• 2002

본 논문은 영역을 병합할 때 두 영역의 색상 차를 영역 병합의 제한 조건으로 사용하는 칼라 영상 분할 기법을 제안하였다. 이는 먼저 영역의 경계선 정보를 잘 보존하기 위해서 RGB 공간상에서 수리형태학 필터와 변형된 워터쉐드 알고리즘을 이용하여 칼라 영상을 과분할 한다. 그리고 영역 간의 색상 차를 제한 조건으로 사용하는 영역 병합 과정을 반복 수행하여 칼라 영상의 분할 결과를 얻는다. 이는 인간 시각 시스템이 색상, 채도, 명도의 형태로 색을 구분하는 것을 기반으로 한다. 명도가 낮지 않는 경우에 색차 보다 색상 차가 중요한 요소로 작용하기 때문에 이를 영역 병합의 제한 조건으로 사용한다. 실험결과에서 제안된 칼라 영상 분할 기법은 다양한 칼라 영상에 대하여 적은 개수의 영역으로 동일한 색상을 가지는 영역의 경계선을 유지하는 효율적인 분할을 보임을 확인하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 한국정보처리학회 2004년도 춘계학술발표대회
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• pp.699-702
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• 2004

단층촬영에 의해 획득된 흉부영상의 폐 영역은 기관지, 폐동맥, 폐정맥으로 구성된 복잡한 형태를 가지고 있다. 또한 이들 조직과 폐 영역 내에 존재하는 악성 종양과 같은 질병들 사이의 공간정보의 유사성으로 인해 방사선 전문의조차도 질병을 간단히 구분 해내는데 많은 어려움이 따른다. 따라서 본 논문에서는 이러한 유사한 공간정보를 갖는 폐 영역을 수리형태학 필터인 모폴로지(morphology)와 국부적인 워터쉐드(watershed) 알고리즘을 이용하여 분할하고, 분할된 폐 영역으로부터 색전 또는 종양 등의 결절(nodule)의 정보를 가지고 있는 혈관들을 추출하는 효과적인 알고리즘을 제안한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• 제30권11C호
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• pp.1076-1082
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• 2005

Recently, there have been much efforts in the image segmentation using morphological approach. Among them, the watershed algorithm is one of powerful tools which can take advantages of both of the conventional edge-based segmentation and region-based segmentation. The concept of watershed is based on topographic analogy. But, its high sensitivity to noise yields a very large number of resulting segmented regions which leads to oversegmentation. So we suggest the restricted waterfall algorithm which reduce the oversegmentation by eliminate not only local minima but also local maxima. As a result, the restricted waterfall algorithm has a good segmented image than the other methods, and has a better binary image than the histogram thresholding method.

• Korean Journal of Plant Taxonomy
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• 제37권4호
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• pp.401-418
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• 2007

We performed the numerical analyses of thirty two morphological characters for twenty four populations of eight Korean Ilex L. taxa. Principal component analyses showed that the first three principal components were related to the total covariance by 67.0%, and the proportions of PCl, PC2 and PC3 were 31.5%, 21.1%, and 14.4%, respectively. And the closely related characteristics to the PCl, PC2 and PC3 were some reproductive characters such as the morphology of sepal, petal, anther, pistil and fruits and vegetative characters such as the morphology of petiol and leaf margin, the trichomes on the twigs, the leaf duration. From the two dimensional plottings by the eigenvalues of PCl, PC2 and PC3, six grouped were clustered as Ilex integra, I cornuta, I x wandoensis, I. rotunda, I. macropoda and I. macropoda for. pseudomacropoda, I. crenata and I. crenata var. microphilla. The numerical analysis was useful for the taxonomy of Korean Ilex because it clearly seperated the populations of taxa included in this study. The identification key was provided with the diagnostic characters.

• Korean Journal of Soil Science and Fertilizer
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• 제42권Spc호
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• pp.8-13
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• 2009

Mathematical models have become increasingly popular in both research and management problems involving flow and transport processes in the subsurface. Rosetta is a program to estimate unsaturated hydraulic properties from surrogate soil data such as soil texture data and bulk density. Models of this type are called pedotransfer functions (PTFs) as an alternative measurements since they translate basic soil data into hydraulic properties. These functions may be either measured directly or estimated indirectly through prediction from more easily measured data based using quasi-empirical models.

• Journal of the Institute of Electronics Engineers of Korea SP
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• 제42권6호
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• pp.33-42
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• 2005

In this paper, we propose an efficient segmentation algerian using morphological grayscale reconstruction for region-based coding. Each segmentation stage consists of simplification, marker extraction and decision. The simplification removes unnecessary components to make an easier segmentation. The marker extraction finds the flat zones which are the seed points from the simplified image. The decision is to locate the contours of regions detected by the marker extraction. For the simplification, we use a new connected operator based on the size and contrast. In the marker extraction stage, the regions reconstructed to original values we excluded from the candidate marker. For the other regions, the regions which are larger than structuring elements or have higher contrast than a threshold value are selected as markers. For the initial segmentation, the conventional hierarchical watershed algorithm and the extracted markers are used. Finally in the region merging stage, we propose an efficient region merging algorithm which preserves a high quality in terms of the number of regions. At the same time, the pairs which have higher contrast than a threshold are excluded from the region merging stage. Experimental results show that the proposed marker extraction method produces a small number of markers, while maintaining high quality and that the proposed region merging algorithm achieves a good performance in terms of the image quality and the number of regions.

• 한국약용작물학회:학술대회논문집
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• 한국약용작물학회 2012년도 심포지엄 및 춘계학술발표회
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• pp.333-334
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• 2012

• Korean Journal of Plant Taxonomy
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• 제38권4호
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• pp.547-555
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• 2008

Two naturalized plants of Lespedeza from Korea are reported. L. lichiyuniae T. Nemoto, H. Ohashi & T. Itoh is similar to L. cuneata (Dum. Cours.) G. Don. and L. juncea (L. .f.) Pers. in morphology, but the species differs from them by pink or purple flowers and the under surface of leaflets and cleistogamous pods with densely hairs. L. davidii Franchet is distinguished by distinctly large leaflets from the other Korean Lespedeza and by plants covered with densely tomentose hairs from the Korean species of subgenus Macrolespedeza. In Korea two plants are found on the parks or roads prepared recently.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• 제18권1호
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• pp.67-73
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• 2000

The water quality of inland stream is polluting with industrialization and urbanization, and with that water quality of lake also deteriorated, to manage water quality pollution problem of lake, new water quality management method is needed. As a pilot study of the method that manage water quality of lake using GSIS(Geo-Spatial Information System), we study the method which automatically extract the hydraulic characteristic informations of lake in GSIS environment. Also, as an example of practical use of the extracted hydraulic characteristic information of lake, we carry out the characteristic analysis of waterbody flow using finite different method. With the automation the extraction procedure of hydraulics characteristic information needed in characteristic analysis of waterbody flow, we carried out the analysis efficiently. Particularly, with the extraction of section information on lake not in layout form, in analyzable form, we make the analysis that section information of lake was indispenably required(e.g. stratification analysis) possible in GSIS environment.

• Korean Journal of Plant Taxonomy
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• 제34권3호
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• pp.205-220
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• 2004

Numerical analysis based on the 67 morphological characters from 28 populations of 6 species of Korean Rhus sensu lato (Anacardiaceae) was performed for the taxonomic delimitation. Based on the results of PCA with 47 quantitative characters, the sum of contributions for the total variance of three major principal components was 77,9% (PCl 35.2%, PC2 22.5% and PC3 20.2%). The sum of contributions for the total variance of three major principal components were 90,7% (PCl 37.7%, PC2 33.0% and PC3 20.0%) based on the results of PCA with 20 qualitative The characters. Two dimensional plotting from PCA results recognized six distinct species. UPGMA phenogram based on simple matching coefficient method recognized clear taxonomic delimitations among six taxa. On the cluster analysis, qualitative characters were more useful for grouping the species treated. Numerical analysis was very valuable to delimit the Korean taxa of Rhus s.l.