• Journal of the Korea Institute of Military Science and Technology
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• v.10 no.4
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• pp.138-144
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• 2007

This paper introduces the design techniques of an IR module using the 2-D array un-cooled type infrared detector which is applied to the individual combat weapon. Considering the size and weight of the hand carried weapon system, we used a very small-sized detector and applied an adaptive temperature control algorithm so that the operation consumed with low power can be possible. We applied the AR(Auto Regressive) filter to improve the signal-to-noise ratio in a thermal image processing step. We also applied the plateau equalization and boundary enhancement techniques to improve the visibility for human visual system.

• Journal of the Korean Institute of Telematics and Electronics D
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• v.34D no.11
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• pp.20-24
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• 1997

We have successfully fabricated high power (~20W) laser diode array, which are useful for pumping Nd:YAG lasers. The laser diode aray has 20 100.mu.m-wide cahnnels of which space was adjusted to 350.mu.m to improve thermal characteristics. And channel width is 100.mu.m. For an uncoated LD array, the output power of 15.66W has been obtained at 41A under quasi-CW operation, which results in about 0.42W/A slope efficiency. After aR(5%) and HR (95%) coatings on both facets, the output power was improved up to 21.18W at 40A under the same operation as above and the slope efficiency was 0.795W/A. On the other hand, by using a near field measurement system consisting of objective lens, eyepiece, CCD camera and image processing board, the typical near field patten of 1*20 LD array was observed.

• Journal of the Korean Society of Visualization
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• v.10 no.2
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• pp.25-31
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• 2012

High-performance smartphones, equipped with a digital camera and an application software, can render conventional bench-top laboratory instruments mobile at affordable costs. As the smartphone-based devices are portable and wireless, they have wide applications especially in providing point-of-care (POC) tests in resource-constrained areas. We developed a hand-held diagnostic system, Mobile SmartScope, which consists of a small optical unit integrated with a smartphone. The performance of the SmartScope was favorably compared with that of conventional light microscopy in detecting and quantifying red blood cells. We also evaluated the fluorescence detection limit of the SmartScope incorporated with a blue light-emitting diode and appropriate optical filters by using fluorescently labeled microbeads for intensity calibration.

• Proceedings of the KSME Conference
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• 2003.11a
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• pp.682-687
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• 2003

The variations of temperature and velocity fields in a Hele-Shaw convection cell (HSC) were investigated using a holographic interferometry and 2-D PIV system with varying Rayleigh number. To measure quasisteady changes of temperature field, two different measurement methods of holographic interferometry; double-exposure method and real-time method, were employed. In the double-exposure method, unwanted waves can be eliminated effectively using digital image processing technique and the reconstruction images are clear, but transient flow structure cannot be reconstructed clearly. On the other hand, transient convective flow can be reconstructed well using the real-time method. However, the fringe patterns reconstructed by the real-time method contain more noises, compared with the double-exposure method. Experimental results show a steady flow pattern at low Rayleigh numbers and a time-dependent periodic flow structure at high Rayleigh numbers. The periodic flow pattern at high Rayleigh numbers obtained by the real-time holographic interferometer method is in a good agreement with the PIV results.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.531-533
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• 2017

본 논문에서는 퍼지 영상처리 기법을 이용하여 손뼈의 X-Ray 영상에서 손뼈의 윤곽선을 추출하는 방법을 제안한다. 제안된 방법에서는 전 처리 단계로써 감마 상관관계를 이용하여 X-Ray 영상에서 손뼈를 제외한 피부층을 제거한다. 피부층이 제거된 영상에서 손뼈를 뚜렷하게 만들기 위해 샤프닝 기법을 사용한다. 샤프닝 기법이 적용된 영상에서 손뼈의 명암대비를 선명하게 하기 위해 사다리꼴 형태의 Fuzzy Stretching 기법을 적용한다. 사다리꼴 형태의 Fuzzy Stretching 기법을 적용한 영상에서 Canny Edge 기법을 적용하여 손뼈의 윤곽선을 추출한다. 제안된 추출 방법을 20개의 실험 영상을 대상으로 실험한 결과, 16개의 실험 영상에서는 손뼈의 윤곽선이 정확히 추출되었고 4개의 실험 영상에서는 손뼈의 윤곽선이 손실된 상태로 추출되었다.

• Laser Solutions
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• v.15 no.1
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• pp.6-9
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• 2012

In TFT-LCD manufacturing process, various defects are generated by manufacturing machine trouble or particle. These defects can be repaired through the TFT-Laser repair process that only can't be automated in TFT-LCD manufacturing Process. In this Paper, we propose auto defect algorithm for TFT-LCD laser repair machine using image processing algorithm in order to automate process. Proposed algorithm can detect very small defects (< 2um) in 98% success ratio, and generated laser repair path guarantee highly precise position accuracy. Through proposed system, much of the work still done the old-fashioned way, by hand, can be automated and manufacturing company can be strengthed the competitiveness of cost.

• The Transactions of the Korea Information Processing Society
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• v.7 no.12
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• pp.3995-4003
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• 2000

This paper describes a method that extracts the region of car-licence plates in color images of private and commercial cars. To extract car-licence plates, we use the feature that car-licence plate regions have regular colors according to the kinds of cars. In this paper, we propose the method that combines H component of HSI color model and Q component of YIQ color model. To improve efficiency of the process, we cxplore lines ill a car image by a regular interval in a bottom-up style. As a result, the extraction rates by only H-component. only by Q- component. and by combined Hand Q, are 53.6%, 82.1%, and 94.6% respectively.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.5
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• pp.1967-1983
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• 2020

The goal of this paper is to analyze and build an algorithm to recognize hand gestures applying to smart home applications. The proposed algorithm uses image processing techniques combing with artificial neural network (ANN) approaches to help users interact with computers by common gestures. We use five types of gestures, namely those for Stop, Forward, Backward, Turn Left, and Turn Right. Users will control devices through a camera connected to computers. The algorithm will analyze gestures and take actions to perform appropriate action according to users requests via their gestures. The results show that the average accuracy of proposal algorithm is 92.6 percent for images and more than 91 percent for video, which both satisfy performance requirements for real-world application, specifically for smart home services. The processing time is approximately 0.098 second with 10 frames/sec datasets. However, accuracy rate still depends on the number of training images (video) and their resolution.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.5263-5268
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• 2014

This paper suggests a fast human detection algorithm that can be applied to a high-resolution CCTV camera. Human detection algorithms, which used a HOG detector show high performance in the region of image processing. On the other hand, it is difficult to apply to real-time high resolution imaging because of its slow processing speed in the extracting figures of HOG. To resolve this problems, we suggest how to detect humans into two stages. First, candidates of a human region are found using background subtraction, and humans and non-humans are distinguished using a HOG detector only. This process increases the detection speed by approximately 2.5 times without any degradation in performance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.11a
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• pp.193-198
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• 1999

In the 21th century, everyone feels that the multimedia system is close at hand in real life due to the rapid advance of the computer processing ability and high speed and high guality of communication services. Also the limited frequencies resource will be optimized due to rapid advances in digital video technology which is believed superior to analogue technology in information engineering. MEPG-2 has been introduced for broadcasting use such as digital TV Thus it features the high-definition and hyper-low bit rate. But, because of much throughput it has been implemented by high-priced private ASIC chip and is not in general use yet. But in this research, noticing the rapid enhancement of PC processor performance comparing with the price. MPEG-2 was developed by real time software MPEG-2 had been known impossible to implement with S/W, but the research proved the possibility of the S/W implementation and below are the pictures also in the research was improved 'Motion Vector and Compensation' Algorithm which requires the most operations and UT was made possible real time process. Multimedia Info Society has settled and accompanied by the rapid advance of image-processing technology and lots of standards.