• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.253-255
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• 2002

본 논문에서는 한글, 숫자, 영문자, 기호 통이 혼용된 컬러용 품지 또는 A4지 처방전을 자동으로 인식하는 시스템을 설계하는 방법을 제안한다. 이를 구현하기 위해 먼저 처방전을 스캐너를 이용하여 스캔하고 컬러 정보를 이용하여 회전된 처방전을 보정한 다음 처방전의 종류를 결정한다. 그리고, 문자의 형태학적 특징에 따라 한글과 그 외의 문자(비한글)를 구분한다. 그리고, 구분된 비한글의 경우는 다양할 특징 벡터를 이용한 가중 페널티 방법을 이용하여 인식한다

• Journal of IKEEE
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• v.4 no.2 s.7
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• pp.288-294
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• 2000

In this paper, an efficient detail extraction technique for a progressive coding scheme is proposed. The existing technique using the top-hat transformation yields an efficient extraction scheme for isolated and visually important details, but yields an inefficient results containing significant redundancy extracting the contour information. The proposed technique using the strong edge feature extraction property of the morphological Laplacian in this paper can reduce the redundancy, and thus provides lower bit-rate. Experimental results show that the proposed technique is more efficient than the existing one, and promise the applicability of the morphological Laplacian operator.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.257-267
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• 2006

암은 한국에서 전체 사망률의 가장 많은 원인 중의 하나이며 이 중 간세포 암은 암에 의한 사망원인 중 성별에 관계없이 위암 다음으로 사망률이 높다. 특히 $40{\sim}60$세까지 중장년 기에서의 간암 발생률은 세계에서 가장 높은 발병률을 보이고 있으며 OECD 국가 중에서 간암 사망률로 최고 수치를 기록하고 있다. 본 논문에서는 조영증강 CT 영상에서 간암을 자동으로 추축하는 방법을 제안하여 전문의를 보조할 수 있는 보조 전문가 시스템으로서의 유용성을 확인하고자 한다. 흉부로부터 5mm 간격으로 약 $40{\sim}50$장 정도 촬영한 조영 증강 CT 영상으로부터 늑골의 정보를 이용하여 장기들의 정보만으로 구성된 내부 영역과 늑골 및 피하지방층, 그리고 배경으로 구성된 외부 영역을 구분한다. 간 영역의 정보가 포함된 내부 영역에서 명암도와 명암의 분포도, 간의 형태 및 위치 정보, 그리고 각 슬라이드를 기준으로 이전 CT 영상과 다음 CT 영상의 정보를 이용하여 간 영역을 추출한다. 간암은 추출된 간 영역에 형태기반 보간법을 적용하여 CT 촬영시 생기는 슬라이드 사이의 5mm 공간정보를 복원한 후, 각 슬라이드를 기준으로 이전 CT 영상과 다음 CT 영상의 정보와 간암이 가지는 명암도 및 형태학적 특정 정보를 이용하여 추출한다. 제안된 간 영역 및 간암 추출 방법을 전문의가 판별한 것과 비교 분석한 결과, 전문의를 보조 할 수 있는 보조 전문가 시스템으로서 효율적임을 확인할 수 있었다.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.3
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• pp.304-308
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• 2010

In this paper, we propose a new method of recognizing the vehicle license plate using color space, morphological characteristics and ART2 algorithm. Morphological characteristics of old and/or new style vehicle license plate among the candidate regions are applied to remove noise areas using 8-directional contour tracking algorithm, then follow by the extraction of vehicle plate. From the extracted license plate area, plate morphological characteristics of each region are removed. After that, labeling algorithm to extract the individual characters are then combined. The classified individual character and numeric codes are applied to the ART2 algorithm for the learning and recognition. In order to evaluate the performance of our proposed extraction and recognition of vehicle license method, we have run experiments on 100 green plates and white plates. Experimental results shown that the proposed license plate extraction and recognition method was effective.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.6
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• pp.909-914
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• 2002

In this thesis, noise reduction of image with impulse noise in circle image removed noise to harness existing median filter for noise reduction from image data of damage by noise when impulse noise is high or noise reduction is low, but it is not made up of noise reduction to harness existing median filter in case of existence of non-impulse noise. Therefore noise reduction of image with non-impulse noise had to remove noise by morphological arithmetic in this thesis's proposition. In contrast to median filtering, result of edge detection is more efficient after remove non-impulse noise by method of thesis's proposition and it compare and demonstrate through this experimentation.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.405-408
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• 2007

건강관리 및 유지에 대한 현대인들의 관심이 증대되면서 삶의 질 향상을 추구하는 고령화 사회에서 성인병 및 만성질환은 매우 위험한 요인이 되고 있는 실정이다. 특히 심장 질환은 3대 사망률 중 한 부분을 차지하고 있을 정도로 위협적이며 비전염성 만성질환 중 하나이다. 그러나 모든 질환에 대한 대처 방법이 동일하듯이 조기 진단에 의한 질환 예방이 무엇보다 중요하다. 따라서 본 논문에서는 심장 질환자의 음성 신호를 획득하여 다양한 음성분석학적 요소 추출 및 분석을 통해 심장 질환과의 연관성을 파악하고자 한다. 이를 위해 본 논문에서는 기존의 음성 분석 요소에 대한 1차 실험을 검증하고 추가 음성 분석 요소들에 대한 2차 실험을 행하여 각각의 분석 요소들과 음성에 대한 형태학적 특징을 시각화하여 편리하게 심장 질환을 진단하는 기법들을 제시하고자 한다.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.1
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• pp.3-9
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• 2010

Drainage density, defined as the degree to which a landscape is dissected by streams, is a fundamental property of natural terrain that reflect the comprehensive morphologic response of watershed. In this study the spatial variability of drainage density is analyzed by statistical approach to it and its plotting method is proposed. Overland flow length is confirmed to be a highly variable spatial factor from the result of statistical analysis. Distribution map of drainage density based on spatial autocorrelation length in this study would be a superior tool to the classical definition of drainage density.

• The Journal of the Korea Contents Association
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• v.6 no.12
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• pp.147-154
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• 2006

The final purpose of this study is to explore morphological change of Shenyang in the period of the rising Chung Dynasty. For that purpose we have tried to build the historical GIS DB of site and analysis of the structure and shape pattern of the city by using the functions of GIS. From the view of spatial structure and cultural context, main characteristics, which is derived from the analysis of ancient map of Shenyang, can be summarized into five things as follows ; transformation of open spatial structure into closed structure, combination of horizontal spatial structure with vertical structure, transformation of practical spatial structure into symbolic structure, transformation of natural spatial structure into institutional form of ancient Chinese capital city, conservation of traditional Manchurian culture.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.10
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• pp.421-426
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• 2019

In this paper, we propose a method to visualize the geometric features of the contact region between proteins in a protein complex. When proteins or ligands are represented as curved surfaces with irregularities, the property that the two surfaces contact each other without intersections is called shape compatibility. Protein-Protein or Protein-Ligand docking researches have shown that shape complementarity, chemical properties, and entropy play an important role in finding contact regions. Usually, after finding a region with high shape complementarity, we can predict the contact region by using residual polarity and hydrophobicity of amino acids belonging to this region. In the research for predicting the contact region, it is necessary to investigate the geometrical features of the contact region in known protein complexes. For this purpose, it is essential to visualize the geometric features of the molecular surface. In this paper, we propose a method to find the contact region, and visualize the geometric features of it as normal vectors and mean curvatures of the protein complex.

• The KIPS Transactions:PartB
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• v.9B no.6
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• pp.727-734
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• 2002

Currently. people become interested in the development of measuring instrument related to eyesight. In this study, we developed software of electronic part in automatic refracto-keratometer. If an automatic system, which uses images from an optical instrument, can inform the in-spector of an accurate eyesight measured value after the internal process, the frequency of mistakenly observed value will be reduced considerably. This software is using morphological filtering and gray-level signal enhancing techniques. The morphological filtering is the first process, from images of the optical instrument, to transform an original image which is hard to process into manageable one. The second process is a signal enhancing technique to the first processed image using gray -level thresholding technique and is used to reduce an error caused by the variety in distribution of the gray value of image. Therefore, this software system in electronic part will make more effective eyesight measurement by reducing the error effectively when applied to the optical image which is difficult to get accurate measurement value.