• The Journal of Korean Institute of Information Technology
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• v.15 no.12
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• pp.165-171
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• 2017

This paper proposes a method of support-generation using morphological image processing instead of geometric calculations. The geometric computational cost is dependent on the shape, but our method is independent on the shape. For obtaining the external support area for extrusion shape, we represents morphological operations between two sliced layer images and shows results of each operation stages. Internal support area is evaluated from erosion and opening operations with the sliced-layer image. In these support areas, the supporter image is generated using the designed support structures. Also, we made a DLP printer and the STL model included supporter-structure is printed by the DLP printer. We confirmed the necessity of support-generation method with the support structures individually dependent on materials by looking at the printed results.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04b
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• pp.1235-1238
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• 2002

본 연구에서는 선천적 뇌량의 기형 판별 및 타질환에 의한 뇌량의 형태학적 변화추적을 위한 뇌량의 형태검출 및 측정 시스템을 설계, 구현하였다. 개발 시스템은 대뇌에 대한 자기공명영상의 정중시상단면을 기반으로 간단한 사용자 인터랙션을 통하여 초기 뇌량 영역을 선택하고, 영역확장법과 윤곽선 검출기법을 통하여 뇌량의 형태를 검출하였다. 또한, Witelson의 영역측정 기준에 따라, 뇌량의 영역을 7개의 영역으로 구분하고, 각 구성영역의 크기를 자동 측정함으로써, 뇌량의 형태학적 변화분석이 용이하도록 하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.11
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• pp.2429-2434
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• 2010

In this paper, we propose a method to extract and analyze palm line with fuzzy method. In order to extract the palm part, we transform the original RGB color space to YCbCr color space and extract sin colors ranging Y:65-255, Cb:25-255, Cr:130-255 and use it as a threshold. Possible noise is removed by 8-directional contour tracking algorithm and morphological characteristic of the palm. Then the edge is extracted from that noise-free image by stretching method and sobel mask Then the fuzzy binarization algorithm is applied to remove any minute noise so that we have only the palm lines and the boundary of the hand. Since the palm line reading is done with major lines, we use the morphological characteristics of the analyzable palm lines and fuzzy inference rules. Experiment verifies that the proposed method is better in visibility and thus more analyzable in palm reading than the old method.

• Journal of Korean Association for Spatial Structures
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• v.10 no.2
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• pp.77-86
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• 2010

This paper provides background theories and numerical results of automatic finite element (FE) mesh generation for freeform discrete structures. The present method adopts the computer aided geometric design (CAGD) technique to overcome the limitation of case-sensitive traditional automatic FE mesh generator. The present technique involves two steps. The first one is to represent the shape of the structure using the geometric model based on the CAGD and the second one is to generate the discrete FE mesh of spatial structures over the geometric model. From numerical results, it is found to be that the present technique is very easy to produce the FE mesh for free-form spatial structures and it can also reuse some features of traditional automatic mesh generator in the process. Furthermore, it shows the possibility to be used for the shape optimization of large spatial structures.

• Korean Journal of Ecology and Environment
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• v.54 no.3
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• pp.257-264
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• 2021

In this study, we analyzed the food components in the release product that sampled Sinonovacula constricta from the foreshore littoral at Byeongnyang-myeon, Suncheon Bay. We used microscopy and next-generation sequencing (NGS) to evaluate the applicability of morphological and molecular methods to analyze release products. The higher species diversity observed in the NGS method is due to the different levels of species identification, as microscopy displays morphological and anatomical levels of plankton species identification in S. constrita. Moreover, NGS can identify the level of species in the organic matter by using the 18s_V9 primer.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.2143-2147
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• 2009

최근 전 세계적 이상기후로 인한 가뭄 또는 집중호우에 따른 하천의 건천화 및 홍수범람은 국가의 인명 및 재산에 상당한 피해를 야기 시키고 있으며 이로 인한 하천환경의 급격한 변화는 생태파괴의 주된 원인이 되고 있다. 따라서 제방의 안정성을 확보하며 유로를 제어할 뿐만 아니라 퇴적 및 세굴 등에 의한 하상고의 변화를 최적화할 수 있는 기법이 요구되는 실정이다. 이와 같은 제방과 하도의 안정성 확보를 위한 구조적 대책으로 수제가 많이 알려져 있으나 국내에서는 제한적인 연구와 극히 소수의 수제설치가 시도되었을 뿐 실용화를 위한 요소기술 개발이 부족한 실정이다. 본 연구에서는 국내외의 수제 실내실험 및 설치사례조사를 통하여 각 국의 친환경적 하천관리 방안에 관한 수제설치 형태 및 기법을 검토하였다. 본 연구에서는 국내의 연구 및 설치사례조사는 물론 유럽, 미주 및 아시아의 수제 실내실험 및 설치사례조사와 수제설치에 따른 수리학적 변화양상 및 설계가이드라인에 관한 자료를 검토하였다. 사례분석을 통해 축적된 자료를 통하여 수제 설치에 따른 개선효과 및 수제의 형태·기법에 따른 수리학적 영향을 검토하였으며 향후 국내 하천별 특성에 적합한 수제형태를 검토하였다. 이상의 검토과정을 통해 수제의 지배 인자를 도출함으로써 각 인자의 영향을 정량화 할 수 있는 지속가능한 수제설계 요소기술 개발을 위한 기초자료를 제공하고자 하였다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.2 s.308
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• pp.72-80
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• 2006

In this paper, we propose a new descriptor for 3D model retrieval based on shape information. The proposed method consists of two steps including ray casting method and spherical harmonic function, considering geometric properties of model. In the ray casting method, an adaptive sampling is performed for external shape information. By increasing shape information included in the descriptor, we improve the discriminating power of the proposed descriptor. The coefficients of spherical harmonic function are adaptively calculated, considering geometric frequency characteristics. This makes the descriptor more compact and concise without decreasing the retrieval performance. By combining two methods, we achieve more improved retrieval results.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.06a
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• pp.111-115
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• 2001

컨테이너 영상의 문자를 인식하는데 있어 정규화 되어 있지 않은 컨테이너 영상의 문자영역을 추출한다는 것은 어렵다. 색깔. 위치, 글자 크기 등이 정해져 있지 않기 때문에 일정한 규칙으로 찾기는 힘들다. 따라서 본 논문에서는 이러한 특성을 고려하여 형태학적인 특성이 아니라 명암도를 조사하여 문자가 분포할 가능성이 있는 후보 영역을 찾고 Canny 에지 추출 기법과 에지 추적 기법으로서 문자가 있는 영역을 추출한다. 추출된 컨테이너의 문자 영역에서 히스토그램 방법을 이용하여 개별 문자를 추출하고 ART 알고리즘을 이용하여 인식한다. 실험 결과에서는 여러 영상에 대해 인식율이 우수한 것을 보인다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.4
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• pp.59-66
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• 2011

In this paper, we propose a face detection method based on color constancy and geometrical analysis. With the problem about the various colors of skin under scene illuminant, a color constancy method is applied to input images and geometrical analysis is used to detect face regions. At first, the candidates of face or hair are extracted from the image that a color constancy method is applied to, and are classified by some geometrical criterions. And then, face candidates which have some intersectional regions whose total is over a certain size, with hair candidates are selected as faces. Caltech Face DB was used to compare the performance of our method. Also, performance about scene illuminant was evaluated by images which have some illumination effects. The experiment results show that the proposed face detection method was applicable to various facial images because of high true-positive and low false-negative ration.

• Journal of Korea Multimedia Society
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• v.15 no.11
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• pp.1284-1291
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• 2012

Ship object detection is a technique to detect the existence and the location of ship when ship objects are shown on input image sequence, and there are wide variations in accuracy due to environmental changes and noise of input image. In order to solve this problem, in this paper, we propose multiple ship object detection based on background registration technique and morphology operation. The proposed method consists of the following five steps: background elimination step, noise elimination step, object standard position setting step, object restructure step, and multiple object detection steps. The experimental results show accurate and real-time ship detection for 15 different test sequences with a detection rate of 98.7%, and robustness against variable environment. The proposed method may be helpful as the base technique of sea surface monitoring or automatic ship sailing.