• Transactions of the Korean Society of Mechanical Engineers B
• /
• v.34 no.5
• /
• pp.471-479
• /
• 2010

The adiabatic two-phase flow in single rectangular microchannels was studied for different aspect ratios. The working fluids were liquid water and nitrogen gas. The hydraulic diameters of the rectangular microchannels were 490, 322, and $143\;{\mu}m$, and the widths of the microchannels were around $500\;{\mu}m$. The two-phase flow pattern was visualized using a high-speed camera and a long-distance microscope. This study was focused on bubble flow regimes. From the visualized images, the bubble velocity, bubble length, number of bubbles, and void fraction were evaluated. Further, the pressure drop in a single bubble was evaluated by using a unit cell model. The bubble velocity is proportional to the superficial velocity. Further, the relationship between the void fraction and the volumetric quality is linear. The pressure drop in a single elongated bubble is strongly related to the aspect ratio. Finally, the new correlation about the pressure drop of a single elongated bubble in the rectangular microchannel was proposed.

• Journal of the Institute of Convergence Signal Processing
• /
• v.3 no.3
• /
• pp.41-46
• /
• 2002

We generally used electric optical sensors in order to detect and identify sea objects efficiently. However due to the limitation of view-angle, the region acquired from the sense is restricted. So it is necessary to generate panoramic image from sea images acquired from pan-tilt camera. Previous mosaicing method is not able to generate panoramic image for sea environment because intensity is similar to all region and time varying. In this paper, we proposed new algorithm for generating high-resolution panoramic image on sea environment. Proposed algorithm use single-view point model, applying mosaicing result in feature environment to in sea environment, we overcame the limitation of previous method. In the result of virtual and real experiment, we showed that proposed algorithm is efficient for generating sea panoramic image.

• Proceedings of the Korean Vacuum Society Conference
• /
• 2016.02a
• /
• pp.269-269
• /
• 2016

최근, 플렉서블 광전자소자 제작 기술의 눈부신 발전으로, 기존의 평면형 이미지 센서가 가지고 있는 여러가지 한계를 극복하기 위해 곡면형 이미지 센서 제작에 대한 다양한 연구가 진행되고 있다. 리소그래피, 물질 성장, 도포, 에칭 등의 대부분의 반도체 공정은 평면 기판에 기반한 공정 방법으로 곡면 구조의 이미지 센서를 제작하기에는 많은 어려움이 있다. 본 연구에서는 곡면형 이미지 센서의 제작을 위해 곡면 구조 위에서의 직접적인 공정 대신 평면 기판에서 단결정 실리콘을 이용해 전사 인쇄가 가능하고 수축이 가능한 초박막 구조의 이미지 센서를 제작한 후 이를 떼어내는 방식을 이용하였다. 이온 주입 및 건식 식각 공정을 통해 평면 SOI (Silicon on Insulator) 기판 위에 단일 광다이오드 배열 형태의 소자를 제작한 후 수 차례의 폴리이미드 층 도포 및 스퍼터링을 통한 금속 배선 공정을 통해 초박막 형태의 광 검출기를 완성한다. 이후 습식 식각 및 폴리디메틸실록산(PDMS) 스탬프를 이용한 전사 인쇄 공정을 통해 기판으로부터 디바이스를 분리하여 변형 가능한 형태의 이미지 센서를 얻을 수 있다. 이러한 박막형 이미지 센서는 유연한 재질로 인해 수축 및 팽창, 구부림과 같은 구조적 변형이 가능하게 되어 겹눈 구조 카메라, 튜너블 카메라 등과 같이 기존 방식의 반도체 공정으로는 구현할 수 없었던 다양한 이미징 시스템 개발에 적용될 수 있을 것으로 기대된다.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.9 no.10
• /
• pp.1189-1195
• /
• 2014

In this study we propose an image denoising algorithm which manipulates the information obtained from multiple images in the same environment for mobile smart phones. We also envisage a multiple images registration method for mobile smart phone cameras equipped with limited computing ability and present an effective image denoising algorithm combining and manipulating the information obtained from multiple images. We proved that the proposed algorithm has much better PSNR value than the method applying single image. We verified that the propose approach has good denoising quality and can be utilized in the feasible level speed on Android smart phones.

• Journal of IKEEE
• /
• v.2 no.1 s.2
• /
• pp.139-149
• /
• 1998

There are some problems in robot navigations with a single kind of sensor. We propose a system that takes advantages of both CCD camera and ultrasonic sensors for the concerning matter. A coordinate extraction algorithm to avoid obstacles during the navigation is also proposed. We implemented a CCD based vision system at the front part of the vehicle and did experiments to verify the suggested algorithm's availability. From experimental results, the error rate was reduced when a CCD camera was used rather than when only ultrasonic sensors were used. Also we can generate path to avoid those obstacles using the measured values.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2016.11a
• /
• pp.47-50
• /
• 2016

객체를 추적하는 기술은 컴퓨터 비전 분야에서 활발히 연구되고 있는 분야 중 하나이다. 그 중 고정된 단일 카메라를 이용한 객체 추적 기술은 비디오 감시(Surveillance) 등에서 활용되고 있다. 고정된 카메라 환경에서 객체를 추적하는 방법 중 배경 모델링(Background Modeling)을 이용한 방법은 간단하면서도 널리 사용되는 방법 중 하나이다. 객체의 움직임이나 특징을 분석하여 배경 모델을 생성한 후 배경 정보를 이용하여 전경을 분리하면 쉽게 객체를 추출할 수 있다. 그러나 객체의 움직임이 적은 경우 해당 영역에서의 배경 모델은 정확하게 생성될 수 없다. 배경 모델을 학습하는 동안 객체가 충분이 움직이면 이런 문제를 해결할 수 있으나 객체가 움직이기 전까지는 오류가 지속된다. 이런 문제를 해결하기 위해 본 논문에서는 인페인팅(Inpainting)을 이용하여 움직임이 적은 영역을 보정하여 정확한 배경 모델을 생성하는 방법을 제안한다. 배경 모델을 생성한 후 객체로 식별할 수 있는 후보 영역을 식별한다. 선정된 영역들 중 사용자가 객체로 판단되는 영역을 선택하여 해당 영역에 대해 인페인팅으로 화소값 및 가중치들을 보정한다. 보정된 영상으로 배경 모델링을 수행하면 움직임이 적은 영역에 대해서도 효과적으로 배경 모델을 생성 할 수 있다.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.21 no.6
• /
• pp.183-190
• /
• 2011

In this paper, we propose a prototype system for abnormal sound detection and identification which detects and recognizes the abnormal situations by means of analyzing audio information coming in real time from CCTV cameras under surveillance environment. The proposed system is composed of two layers: The first layer is an one-class support vector machine, i.e., support vector data description (SVDD) that performs rapid detection of abnormal situations and alerts to the manager. The second layer classifies the detected abnormal sound into predefined class such as 'gun', 'scream', 'siren', 'crash', 'bomb' via a sparse representation classifier (SRC) to cope with emergency situations. The proposed system is designed in a hierarchical manner via a mixture of SVDD and SRC, which has desired characteristics as follows: 1) By fast detecting abnormal sound using SVDD trained with only normal sound, it does not perform the unnecessary classification for normal sound. 2) It ensures a reliable system performance via a SRC that has been successfully applied in the field of face recognition. 3) With the intrinsic incremental learning capability of SRC, it can actively adapt itself to the change of a sound database. The experimental results with the qualitative analysis illustrate the efficiency of the proposed method.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.6 no.3
• /
• pp.45-56
• /
• 2007

Automatic tracking of vehicles is important to accurately estimate the traffic information including vehicle speeds in video-based traffic measurement systems. Because of the limited field of view, the range of visual tracking with a single camera is restricted. In order to enlarge the tracking range for better chance of monitoring the vehicle behaviors, a tracking with consecutive multiple video sequences is necessary. This parer proposes a carefully designed rule-based vehicle racking scheme and apply it for the tracking for two well synchronized video sequences. In the scheme, almost all possible cases that can appear in the video-based vehicle tracking are considered to make rules. Also, the rule based scheme is augmented with Kalman filter. The result of tracking can be successfully used to collect data such as temporal variation of vehicle speed and behavior of individual vehicle behaviors in the enlarged tracking region.

• The Journal of the Korea Contents Association
• /
• v.8 no.11
• /
• pp.85-93
• /
• 2008

For music score recognition, several approaches have been proposed including shape matching, statistical methods, neural network based methods and structural methods. In this paper, we deal with recognition for low resolution images which are captured by the digital camera of a mobile phone. Considerable distortions are included in these low resolution images, so when existing technology is used, many problems appear. First, captured images are not stable in the sense that they contain lots of distortions or non-uniform illumination changes. Therefore, notes or symbols in the music score are damaged and recognition process gets difficult. This paper presents recognition technology to overcome these problems. First, musical note to head, stick, tail part are separated. Then template matching on head part of musical note, and remainder part is applied. Experimental results show nearly 100% recognition rate for music scores with single musical notes.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.46 no.2
• /
• pp.10-23
• /
• 2009

The fundamental matrix and key frame selection are one of the most important techniques to recover full 3D reconstruction of objects from turntable sequences. This paper proposes a new algorithm that estimates a robust fundamental matrix for camera calibration from uncalibrated images taken under turn-table motion. Single axis turntable motion can be described in terms of its fixed entities. This provides new algorithms for computing the fundamental matrix. From the projective properties of the conics and fundamental matrix the Euclidean 3D coordinates of a point are obtained from geometric locus of the image points trajectories. Experimental results on real and virtual image sequences demonstrate good object reconstructions.