• 반도체디스플레이기술학회지
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• 제9권3호
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• pp.47-51
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• 2010

This paper presents a wafer pre-alignment system which is improved using the image of the entire wafer area. In the previous method, image acquisition for wafer takes about 80% of total pre-alignment time. The proposed system uses only one image of entire wafer area via a high-resolution CMOS camera, and so image acquisition accounts for nearly 1% of total process time. The larger FOV(field of view) to use the image of the entire wafer area worsen camera lens distortion. A camera calibration using high order polynomials is used for accurate lens distortion correction. And template matching is used to find a correct notch's position. The performance of the proposed system was demonstrated by experiments of wafer center alignment and notch alignment.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2009년도 9th International Meeting on Information Display
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• pp.672-676
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• 2009

Polymide is widely used alignment material of recent commercial LCD panel structure. Generally, polyimide alignment material is classified soluble polyimide type and polyamic acid type with their main bond structure of solution state. specially, compared to polyamic acid alignment layer, soluble polyimide type alignment layer have excellent reliability during long term LCD driving cause of their high imidazation ratio(%), high voltage holding ratio(%) and low ion density. The other side, this type alignment materials has significant DC image stickicng side effect for using in-plane switching mode lcd structure cause of their slow DC discharging property. we applied inorganic salt to usual soluble polyimide type alignment layer and found out this technique had good DC image sticking property without any loss of reliability property in inplane switching LCD cell structure. This approach leads excellent DC image sticking property with maintaining high reliability property this approach confirmed improves an image sticking and a reliability simultaneously from the horizontality aligned LCD mode whose relatively bad image sticking property.

• 한국멀티미디어학회논문지
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• 제17권9호
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• pp.1041-1051
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• 2014

In this paper, we propose a new image alignment technique based on CUDA SURF in order to solve the initial image alignment problem that frequently occurs in machine vision applications. Machine vision systems using multi-spectral images have recently become more common for solving various decision problems that cannot be performed by the human vision system. These machine vision systems mostly use markers for the initial image alignment. However, there are some applications where the markers cannot be used and the alignment techniques have to be changed whenever their markers are changed. In order to solve these problems, we propose a new image alignment method for multi-spectral machine vision applications based on SURF extracting image features without depending on markers. In this paper, we propose an image alignment method that obtains a sufficient number of feature points from multi-spectral images using SURF and removes outlier iteratively based on a least squares method. We further propose an effective preliminary scheme for removing mismatched feature point pairs that may affect the overall performance of the alignment. In addition, we reduce the execution time by implementing the proposed method using CUDA based on GPGPU in order to guarantee real-time operation. Simulation results show that the proposed method is able to align images effectively in applications where markers cannot be used.

• 소성∙가공
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• 제13권3호
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• pp.190-204
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• 2004

The objective of this study is to develop a highly accurate micro tool alignment system applicable to the micro machining technology. In a specific application such as micro hole punching, radial clearance between micro tools is order of a few micron. Under this micron scale tool clearance, accuracy of tool alignment is very important for ensuring hole quality. In the present study, a two-way image acquisition system was developed, which can produce overlapped image of both micro tools that face each other, and applied to the tool alignment in the micro punching. Also, to meet alignment accuracy of tools within $1\mu\textrm{m}$, the cross correlation image processing algorithm was employed. With this system, $25\mu\textrm{m}$ punching tools with $1\mu\textrm{m}$ radial clearance could be accurately aligned.

• 전자공학회논문지B
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• 제30B권8호
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• pp.33-40
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• 1993

This paper presents a hardware for image alignment based on proposed new algorithm which can align a small misaligned document image simply by one transformation with a parallel shifting of pixels. This hardware is simulated with VHDL and estimated to be about 65 ms to align an image made up of 380 by 480 pixels. Also, we will demonstrate the effectiveness of the proposed image alignment algorithm in OCR system by comparing its characteristics with those of the existing image rotation algorithms.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2007년도 7th International Meeting on Information Display 제7권1호
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• pp.513-516
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• 2007

We introduce a new copolymer alignment film made by bridge-building structure. It is a better film to decrease the image-sticking level in LCD displays. It is noted that the image-sticking was decreased by preventing ion mixing between inter-layers through high hardness. We have investigated the electrical characteristics such as pretilt angle, Residual DC, VHR by changing cure temperature and process delay time conditions of the new alignment film. In this paper, we have investigated the solution for the deep-rooted image defect and incidentally got a contrast ratio improvement by high anchoring force and hardness elevation through the new copolymer alignment film.

• 한국군사과학기술학회지
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• 제16권6호
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• pp.745-751
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• 2013

In naval gun firing, firing accuracy comes from the combination of each component's accuracy in CFCS (Command and Fire Control System) like tracking sensors and gun. Generally, battery alignment is done to correct the error between gun and tracking sensor by using boresight telescope on harbor and sea. But normally, the battery alignment can compensate only the static alignment error and ignore dynamic alignment error which is caused by own ship movement. There was no research on this dynamic alignment error until now. We propose a new way to analyze dynamic arrangement error by using image of boresight telescope. In case of the dynamic alignment error was due to time delay of own ship attitude information, we propose the way to compensate it.

• 디자인학연구
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• 제14권4호
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• pp.77-85
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• 2001

본 연구는 개방된 시장환경에서 이제 국내기업의 당면과제가 된 제품의 전략적 차별화를 위한 방법으로, 제품생산형 기업에서 기업 이미지 확립의 중요한 요인인 제품의 시각적 특성을 중심으로 제품 이미지의 포지셔닝과 이에 정합적인 제품이미지를 개발 및 관리하는 전략적 디자인 환경 구축을 목표로 한다. 먼저 선도기업의 기업문화와 디자인 전략의 일관성을 통한 제품 이미지 경영의 사례를 확인하고, 이와 같은 정합적 제품이미지 구축의 방법으로 제품 이미지 포지셔닝, 제품 이미지의 정합적 개발 및 관리의 프로세스와 각 과정의 조건을 제안하였으며 그 내용은 다음과 같다. 첫째, 제품 이미지 포지셔닝 단계에서는 시장의 트랜드에 대한 분석과 예측을 통하여 소비자의 요구를 파악하고, 자사 이미지의 조사 분석에 의한 경쟁사와의 비교 포지셔닝을 통하여 기업 이미지와 디자인 전략의 방향을 설정하는 것이 중요하다. 둘째, 정합적 제품 이미지 개발을 위해서는 차별화 된 기업이미지와 제품 이미지를 위한 전사적 의식 공유, 제품 이미지의 통합조정자로서 의 디자이너 역할 부여, 조형언어의 공유, 형태 정보의 가시화 프로세스를 위한 제도적 환경 구축 등의 조건이 선행되어야 한다. 셋째, 정합적 제품 이미지 관리를 위해서는 이미지 정보 관리와 운영 지침 수립, 제품 형태의 합리적 결정을 위한 의사결정 시스템과 회의체 운영, 효율성 제고를 위한 가이드라인 작성과 평가 시스팀의 구축, 관련 디자인의 동시적 접근이라는 환경이 조성되어야 한다. 이와 함께 이미지와 형태에 대한 다양한 실험, 조형언어와 관련된 정보체계의 구축, :1리고 적용된 결과에 대한 지속적인 점검과 관리 등 각 기업의 정체성에 맞는 제품 이미지 경영을 위한 세부적 지침에 대한 연구가 지속되어야 할 것이다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권9호
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• pp.3177-3195
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• 2014

In many moving object detection problems of an aerial video, accurate and robust stabilization is of critical importance. In this paper, a novel accurate image alignment algorithm for aerial electronic image stabilization (EIS) is described. The feature points are first selected using optimal derivative filters based Harris detector, which can improve differentiation accuracy and obtain the precise coordinates of feature points. Then we choose the Delaunay Triangulation edges to find the matching pairs between feature points in overlapping images. The most "useful" matching points that belong to the background are used to find the global transformation parameters using the projective invariant. Finally, intentional motion of the camera is accumulated for correction by Sage-Husa adaptive filtering. Experiment results illustrate that the proposed algorithm is applied to the aerial captured video sequences with various dynamic scenes for performance demonstrations.

• 한국콘텐츠학회논문지
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• 제11권3호
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• pp.18-25
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• 2011

현재 주화의 제조 공정에서는 주화의 표면 품질 진단을 사람이 눈으로 직접 확인하여 수행하고 있다. 본 논문은 컨베이어 벨트에 놓이어 이동하는 주화로부터 획득한 영상을 이용하여 주화 표면의 결함을 검출하는 영상처리 방법을 제시한다. 결함 검출 방법은 영상에서 주화 영역을 분할하고, 분할된 동전을 비교할 모델에 정렬하며, 정렬된 영상을 최적의 고유 영상 공간으로 투영, 투영 오차와 학습된 가변 임계값과 비교하여 결함 부위를 검출한다. 본 논문에서는 이러한 일련의 영상처리 과정 중에서 주화 표면 진단과 관련하여 특화된 새로운 방법을 제시한다. 주화의 정렬을 위하여 분할된 주화의 히스토그램을 사용한다. 이 방법은 2차원 영상의 정렬을 일차원 히스토그램의 정렬로 변환하는 것이다. 다음으로 정렬된 영상을 고유 영상공간에 투영시켜 주화 방향에 따른 휘도 변화를 보정한다. 이 방법은 소수의 고유 영상 벡터들로 구성된 고유 영상 공간을 여러 개 생성하고, 최적의 고유 영상 공간에 정렬된 영상을 투영하여 실시간 구현이 가능하게 한다.