• 예술인문사회 융합 멀티미디어 논문지
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• 제6권3호
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• pp.383-391
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• 2016

선박평형수란, 선박의 균형을 유지하기 위해서 배에 채우는 바닷물을 말한다. 선박평형수를 통한 외래종 유입은 생태계 교란의 주된 원인이다. 이를 방지하기 위해 IMO(International Maritime Organization)에서는 2004년 선박평형수와 침전물 관리협약을 채택하였다. 협약이 발효될 경우 각국 항만 당국에서는 선박평형수가 협약의 성능 기준에 맞게 배출되는지 확인이 필요하다. 본 논문에서는 이미지처리를 통한 선박평형수 내 유해수중생물 개체수 측정 방법을 제안한다. 부산 신항에서 채취한 선박평형수로부터 3개의 샘플을 추출하였으며, 각 샘플당 서로 다른3개의 grey-scale 이미지를 만들어 실험자료로 사용하였다. 이미지처리를 이용한 자동 세포계수 프로그램인 CellProfiler를 이용하여 본 논문에서 제안하는 방법과 비교하였다. CellProfiler에서 사용한 설정은 사람이 직접 세포계수를 한 결과에 맞춰 경험적으로 결정하였다. 각 이미지에서 CellProfiler와 가장 유사한 결과를 보이는 최적의 임계값을 찾은 뒤 그 평균을 최종 임계값으로 사용하였다. 실험결과에서 제안한 방법은 CellProfiler와 비슷한 세포 계수 결과를 보이면서도 약 10배 정도 빠른 처리 속도를 보였다.

• 한국수소및신에너지학회논문집
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• 제28권5호
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• pp.521-530
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• 2017

Improving the microstructure of NiO/YSZ is one of several approaches used to enhance the electrical and mechanical properties of an anode support in Solid Oxide Fuel Cells (SOFCs). The aim of the work reported in this paper was to predict the relationship between these microstructural changes and the resulting properties. To this end, modification of the anode microstructure was carried out using different sizes of Poly (Methyl Methacrylate) (PMMA) beads as a pore former. The electrical conductivity and mechanical strength of these samples were measured using four-probe DC, and three-point bend-test methods, respectively. Thermal etching followed by high resolution SEM imaging was performed for sintered samples to distinguish between the three phases (NiO, YSZ, and pores). Recently developed image analysis techniques were modified and used to calculate the porosity and the contiguity of different phases of the anode support. Image analysis results were verified by comparison with the porosity values determined from mercury porosimetry measurements. Contiguity of the three phases was then compared with data from electrical and mechanical measurements. A linear relationship was obtained between the contiguity data determined from image analysis, and the electrical and mechanical properties found experimentally. Based upon these relationships we can predict the electrical and mechanical properties of SOFC support from the SEM images.

• Transactions on Electrical and Electronic Materials
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• 제8권5호
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• pp.196-200
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• 2007

In this paper, we propose and discuss the design using a simple method that reduces the fixed pattern noise(FPN) generated on the amorphous Si($\alpha-Si$) bolometer. This method is applicable to an IR image sensor. This method can also minimize the size of the reference resistor in the readout integrated circuit(ROIC) which processes the signal of an IR image sensor. By connecting four bolometer cells in parallel and averaging the resistances of the bolometer cells, the fixed pattern noise generated in the bolometer cell due to process variations is remarkably reduced. Moreover an $\alpha-Si$ bolometer cell, which is made by a MEMS process, has a large resistance value to guarantee an accurate resistance value. This makes the reference resistor be large. In the proposed cell structure, because the bolometer cells connected in parallel have a quarter of the original bolometer's resistance, a reference resistor, which is made by poly-Si in a CMOS process chip, is implemented to be the size of a quarter. We designed a ROIC with the proposed cell structure and implemented the circuit using a 0.35 um CMOS process.

• Journal of Advanced Marine Engineering and Technology
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• 제41권3호
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• pp.251-257
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• 2017

본 논문에서는 TFT-LCD 셀 영상에서 퓨리에 변환을 이용한 주기적인 셀 패턴 제거에 기반한 결함검출 방법을 제안한다. 셀 영상은 결함검출을 어렵게 하는 주기적인 셀 패턴을 포함하므로 패턴 제거가 중요하다. 먼저 셀 영상에 대해 퓨리에 변환을 이용하여 스펙트럼을 구하고, 스펙트럼에서 큰 값의 계수는 셀 패턴에 관련된 계수이므로 적응적 필터를 이용하여 큰 값의 계수를 제거한다. 그리고 필터링된 스펙트럼을 역 퓨리에 변환을 이용하여 셀 패턴이 제거된 영상을 얻는다. 다음으로 셀 패턴이 제거된 영상에서 STD 방법으로 결함을 검출한다. TFT-LCD 셀 영상에 대해 제안 방법의 타당성을 검증한 결과, 제안 방법이 우수한 결함검출 성능을 가짐을 확인하였다.

• 한국멀티미디어학회논문지
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• 제20권6호
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• pp.845-852
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• 2017

In this paper, we propose a binarization algorithm using LVQ-Merge clustering method for fast and accurate extraction of cells from cell images. The proposed method clusters pixel data of a given image by using LVQ to remove noise and divides the result into two clusters by applying a hierarchical clustering algorithm to improve the accuracy of binarization. As a result, the execution speed is somewhat slower than that of the conventional LVQ or Otsu algorithm. However, the results of the binarization have very good quality and are almost identical to those judged by the human eye. Especially, the bigger and the more complex the image, the better the binarization quality. This suggests that the proposed method is a useful method for medical image processing field where high-resolution and huge medical images must be processed in real time. In addition, this method is possible to have many clusters instead of two cluster, so it can be used as a method to complement a hierarchical clustering algorithm.

• International Journal of Control, Automation, and Systems
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• 제4권5호
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• pp.637-644
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• 2006

Biomedical image is often complex. An applied image analysis system should deal with the images which are of quite low quality and are challenging to segment. This paper presents a framework for color cell image segmentation by learning and classification online. It is a robust two-stage scheme using kernel method and watershed transform. In first stage, a two-class SVM is employed to discriminate the pixels of object from background; where the SVM is trained on the data which has been analyzed using the mean shift procedure. A real-time training strategy is also developed for SVM. In second stage, as the post-processing, local watershed transform is used to separate clustering cells. Comparison with the SSF (Scale space filter) and classical watershed-based algorithm (those are often employed for cell image segmentation) is given. Experimental results demonstrate that the new method is more accurate and robust than compared methods.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 1998년도 추계학술대회논문집:21세기에 대비한 지능형 통합항만관리
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• pp.59-65
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• 1998

A thematic land cover map of Pusan port area was developed using Landsat satellite TM(Thematic Mapper) image. Two types of digital data which are road and sea water layer are extracted from existing paper map were overlayed over the developed land cover map. SPIN-2(KNR-1000) image was utilized to make a facility map of JaSungDae port. SPIN-2 image, which has a cell resolution of 1.56 m showed higer accuracy than TM image, which has a cell resolution of 30 m for facility mapping. Overall, the techniques of digital mapping using satellite image are very useful, effective and efficient.

• 대한전자공학회논문지SD
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• 제43권9호
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• pp.38-43
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• 2006

CMOS image sensor는 집적회로 구현이 가능하여 사이즈를 줄일 수 있고 저전력으로 구현이 가능하며 효율적인 영상처리를 할 수 있다는 장점을 갖고 있다. 그러나 불량화소의 발생은 곧 화질의 저하로 연결되기 때문에 불량화소를 검출하는 방법에 대한 연구가 필요하다. 본 논문에서는 CMOS image sensor에 사용되는 효율적인 불량화소 검출 알고리듬과 그 하드웨어를 제안하였다. 불량화소를 검출하기 위하여 본 논문에서 제안한 방법은 Scan, Trace, Detection의 단계를 거친다. 시뮬레이션 결과 특정 조건에서는 99.99%의 불량화소 걸출 성공률을 나타냈다. 제안된 알고리듬은 Verilog HDL로 구현되었으며, 0.25 CMOS standard cell library에서 3.2k개의 게이트 수를 갖는다.

• 전자공학회논문지D
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• 제34D권12호
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• pp.62-67
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• 1997

The optical lithography wit an ArF excimer laser as a light source is expected to be used in the mass production of giga-bit DRAMs which require less than 0.2.mu.m minimum feature size. In this case, the distortion of a patterned image becomes very severe, since the lithography porcess is performed at the resolution limit. Traditionally, the photomask pattern was designed and revised with trial-and-error methods, such as repeated execution of process simulators or actual process experiments which require time and effort. Ths paper describes a program which automatically finds an optimal mask pattern. The program divides the mask plane into cells with same sizes, chooses a cell randomly, changes the transparent/opaque property of the cell, and eventually genrates a mask pattern which produces required image pattern. The program was applied to real DRAM cell patterns to produce mask patterns which genertes image patterns closer to object images than original mask patterns.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2000년도 추계학술대회논문집B
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• pp.381-384
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• 2000

Relationships between biochemical phenomena and hemodynamics on human endothelial cells are very important to study the mechanism of atherosclerotic formation and development. The objective of this study is to investigate the flow phenomena around the endothelial cell model by the PIV experiment. The microscopic images of endothelial cells were acquired by a CCD camera to fabricate the shape of endothelial cell. The cell models were fabricated by using a photoforming process. Two consecutive particle images were captured by the CCD camera for the image processing. Conifer powder as the tracing particles was added to water to visualize the flow field. The cross-correlation method was applied fer the image processing of the flow visualization. Pressure and wall shear stress variations on the surfaces of the endothelial cells were calculated to investigate the effects of hemodynamic forces on the morphological changes.