自己相關函數를 利用한 畵質 測定에 關한 硏究

郭允植 충주대학교 1997 한국교통대학교 논문집 Vol.32 No.2

In this paper, we aims to extract the relationship between the directional charateristics and quanlity for fingerprint image. In order to do it, we trasformed the original images into directional images and set up the subimage size of 16,32,64 and directions of 1,2,3,4. Then we extracted the accunulated directional value as a measurement of quality for the type of whorl,loop,and arch fingerprint images. By using the clustering algorithm,we performed the process of analysis of the result Finally,we could extract the optimal subimage size and directional characteristics for fingerprint image.

퓨리에 변환을 이용한 지문영상의 개선에 관한 연구

곽윤식 한국통신학회 1996 韓國通信學會論文誌 Vol.21 No.8

This study intends to extract the efficient spectrum characteristics of the fingerpriint image in the fourier domain and to apply them for image enhancement. In order to effectively acquire the spectrum characteristics of the fingerprint in the fourier domain, I set up a 1*64 window as a processing unit and, combining various kinds of the record and overlap lengths, made the power spectrum density estimate for each of those combinations. each spectrum characeristic acquired was applied to a re-synthesis process of the fingerprint image, and, through comparisons and evaluations of the resultant images, an improved gray scale image could be obtained. The validity of this algorithm could be confirmed by the comparison and evaluation fo the binary images which were grained on the established method and the one I used in this experiment.

화상·음성 레코더를 위한 메모리 설계

郭允植 충주대 2001 한국교통대학교 논문집 Vol.36 No.2

In this paper, we proposed flash memory design method for image and voice recoder based on the standard imageㆍvoice cosec algorithm.For implementation of this method we designed imageㆍvoice browser which is application system of flash memory and card using GDS30C6001 USB controller.To process image and voice data we designed root directory of image and voice files repectively.To extend application of image and voice data we added various information to the system.

적응적 영상개선을 위한 지문영상의 방향성 특성과 화질의 관계 분석

곽윤식 한국통신학회 1998 韓國通信學會論文誌 Vol.23 No.4

본 논문은 적응적 영상개선을 위한 전 단계로 자기상관함수를 이용한 지문 영상의 방향성 특성과 화질의 관계 분석에 관한것이다. 이를 위해서 원 영상을 방향 영상으로 변환한 실험영상을 대상으로 부 영역의 크기를 16, 32, 64, 방향성을 1, 2, 3, 4로 설정하고 화질의 척도인 방향성 누적값을 산출하였다. 또한 지문영상에 대한 화질 특성을 추출하고 최적의 부 영역과 방향성 관계를 정량적인 실험 자료로 제시하기위해 군집환 알고리즘을 이용한 분석 과정을 수행하였다. This paper aims to examine the relationship between the directional characteristics and the quality for fingerprint image as preprocessing stage for adative image enchancement. In order to do that, we transformed the original images into directional images and set up the subimage size of 16, 32, 64 and the direction of 1, 2, 3, 4. Then we extracted the accumulated directional value as the measurement of quality for fingerprint images. By using the clustering algirthm, we performed an analytic experiemnt with the result. Finally, we could extract the optimal subimage size and directional characteristics of fingerprint image.

영상이해를 위한 지식유출에 관한 연구

곽윤식,이대영 한국통신학회 1993 韓國通信學會論文誌 Vol.18 No.5

본 논문에서는 영상 이해를 위한 지식 베이스 시스템에 있어서 핵심적 기능을 수행하게 되는 저급 지식원과 중급 지식원의 추출에 관한 것으로 화소 영역에 적용되는 저급 처리 과정으로 영역 분할 처리과정, 방향 영상 변환과정, 형태 정보 추출 과정, 영역 특징량 추출과정으로 구성되며 중급 처리 과정으로 특징 베이스 분류, 기하학적 토큰 관계성, 인지적 조직과 집단화 과정으로 구성되어 있다. This paper describes the knowledge extraction for image understanding in knowledge based system. The current set of low level processes operate on the numerical pixel arrays, to segment the image into region and to convert the image into directional image, and to calculate feature for these regions. The current set of intermedate level processes operate on the results of earlier knowledge source to build more complex representations of the data. We have grouped into thee categories : feature based classification, geometric token relation, perceptual organization and grouping.

Relaxation을 이용한 2차원 물체의 형상매칭에 관한 연구

곽윤식,이대령 한국통신학회 1993 韓國通信學會論文誌 Vol.18 No.1

본 논문은 2차원 물체의 형상 매칭에 관한것으로 다각근사화된 단순 2차원 물체에 적용하였다. 많은 형상 매칭 방법론이 수학적 벡터의 의현에 기초를 두고 확솔적인 패턴 인식을 사용하고 있다. 유출된 형상의 다양성과 많은 데이타량은 형상의 전체적인 구조의 관계를 나타내는데 단점을 갖고 있다. 본 논문에서는 영상을 다 각근사적 과정를 통하여 Relaxation 라벨링 기술을 이용함으로써 형상 매칭의 지점을 해결하였다. This paper prrsents shape matching of two-dimensional object. This shape matching is applied to two-dimensional simple c10sedcurves represented by polygons. A large number of shape matching procedures have proposed baseed on teh view that shape can be represented by a vector of numerical features, and that this representation can be matched using techniques from statical pattern recognition. The varieties of features that have been extracted from shapes and used to represent them are numerous. But all of these feature-based approches suffer from the shortcoming that the descriptor of a segment of a shape do not ordinarily bear any simple relations hip to the description for the entire shape. We solve the segment matching problem of shape matching, defined as the recognition of a piece of a shape as approximate match to a part of large shape, by using relaxation labeling technique.

형염(型染) 기본 기법

곽윤식 한복문화학회 2006 한복문화학회 학술대회 Vol.- No.-

소스라우팅 기반 토폴로지 데이터베이스를 이용한 경로선택 및 복구

郭允植 충주대 산업과학기술연구소 2000 産業科學論文集 Vol.8 No.-

In this paper, we studied the method of path distribution in order to increase reliability of the network by reducing path congestion, solving the problems of increasing blocking statistics, and increasing the utilization of network resource. A scheme of efficient path calculation which can reduce the traffic congestion in an arbitrary link is proposed by path calculation equations considering link occupation rates. A rapid method of establishing a connection which can efficiently cope with accidental connection failure are studied.

신경망을 이용한 지문영상의 전처리 기술

郭允植 忠州大學校 1998 한국교통대학교 논문집 Vol.33 No.2

This paper treats the Self-Organizing Network algorithm for the edge enhancement of fingerprint image. To represent quantitatively changes in status value on the neuron-unit images, it defines the contrast link of the first and second orders through 3×3 window and 5×5 window. In neural network algorithm, the neuron as the subject of treatment undergoes update processes, and edge enhancement is achieved in the end. This algorithm is characteristic that the most conspicuous part of edge in the state of initial neurons is regarded as the first neuron of the reconstruction processes and undergoes update processes and that the processing moves and occurs in the neighborhood neuron. By this way, the effects of enhancement are gained even in the obscure edge. In addition, this way leads to the most effective location for image analysis through the inhibitory status of neuron and stimulates the update processes of neuron.

CATV망 관리를 위한 통합관리 시스템 구현 사례 연구

곽윤식 한국정보통신학회 2003 한국정보통신학회논문지 Vol.7 No.5

본 논문은 CATV 가입자 망 관리 시스템 구현에 관한 것으로 기존의 수동형 관리 시스템의 비효율성을 제거하기 위해 자동화된 집중식 통합관리 시스템을 구현하였다. 이를 위해 기존의 주파수대역 중에서 비디오 신호의 송신에 사용되지 않은 대역을 확보하여 제어신호의 송수신이 이루어지는 제어대역으로 사용하는 송$.$수신 시스템 및 자동화 분배기를 설계하였으며, 상$.$하향통신 및 하향통신방식이 공유된 형태로 RS-232를 이용한 9600bps의 송수신 시스템 및 자동화 단말기를 구현하였다. 또한 구현된 시스템의 운영 관리를 위한 CATV망 통합관리 시스템의 구성은 가입자 관리를 위한 ID생성부, 송수신부, 제어부, 자료백업부로 구성되며 윈도우 기반의 C++로 구현하였다. This study is about the development of a system related to the CATV network. It intends to develop an automatically centralized Headend system and a distributive system to remove the ineffectiveness of the established manual system. To achieve this goal, we took a put of bandwidth, which is not used for the transmission of video signals in the established frequency bandwidth, and used it for the transmission and receiver of controlling signals. By this way we could design a system of transmission and receiver and a automatic distributive system. We developed an information management system for the 9600bps CATV using RS-232 of forward/backward communication and backward communication. Based on window, It consist of ID generation, transmitter/receiver, control and backup part.