• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.541-543
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• 2021

최근 제주도내 자동차 보유 대수와 관광객 렌트카 이용이 급증함에 따라 주거나 상가 밀집 지역에서 주차 문제는 갈수록 심화되고 있어 이에 따른 주차 공간 확보 및 기존 주차 공간의 활용할 수 있는 시스템이 요구되고 있다. 따라서 본 논문에서는 주변 맛집 정보, 관광정보, 실시간 주차장 이용현황을 제공하는 서비스를 도입하여 도내 무료 공영주차장 및 유료주차장의 주차 가능 공간을 실시간 공유할 수 있는 시스템을 제안한다. 본 시스템은 웹, 앱으로 구성되어 있으며 실제 주차장에 설치된 적외선 센서와 CCTV 이미지를 분석하여 현재 주차장의 사용 중인 공간과 비사용 중인 주차 가능 면수를 실시간 분석하여 서비스 이용객들의 편의를 제공한다.

• 비파괴검사학회지
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• 제31권2호
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• pp.157-164
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• 2011

위상잠금 적외선 열화상(lock-in infrared thermography) 기법의 조선해양공학 분야에 적용 가능성을 검토하였다. 이를 위해 실험계획법에 의해 향상된 결함부와 건전부의 위상차 대비영상을 얻기 위한 탐색 연구를 수행하였다. 위상차 대비영상의 평가를 정량회하기 위하여 대비 기준표와 홀 크기에 가중치를 주는 방법을 적용하여 유용한 판별기준임을 입증하였다. 그리고 표면에 광 조사 세기는 중간이나 낮은 조사량이 좋은 결과를 보여주고, 높은 조사는 유용한 결과를 주지 못했다. 위상잠금 주파수는 가진 광원의 세기에 비례하여 좋은 결과를 획득할 수 있었고, 열화상 카메라의 노출시간(integration time)은 조사 광원의 세기와 반비례하여 실험을 수행하는 것이 좋은 결과를 얻을 수 있었다. 그러나 시험편(specimen)의 차이는 약간의 편향된 결과를 얻었지만 유의하지는 못했다.

• 한국멀티미디어학회논문지
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• 제8권1호
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• pp.46-55
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• 2005

본 논문에서는 소형 위협체를 조기에 탐지하여 위치를 알려주는 파노라믹 적외선 영상 경보 장치를 구현하였고, 경보 성능 향상을 위한 적외선 영상 향상 기법을 제안하였다. 구현 장치는 센서 헤드 유닛, 신호 처리 유닛 등으로 구성된다. 센서 헤드 유닛은 1차원 다중 배열 적외선 센서를 정속으로 고속 회전하여 360도의 넓은 시계 영역을 가지는 파노라믹 열영상을 획득한다. 신호 처리 유닛은 파노라믹 영상을 90도의 부영상으로 나누고, 각 부영역의 통계적 특성에 따라 적응적 평탄역값(adaptive plateau value)을 구한다 그리고 적응적 평탄역값으로 히스토그램을 변화시킴으로써 위협체을 두드러지게 하였으며, 실시간 처리를 위하여 DSP와 FPGA를 이용하여 장치를 구현하였다. 구현 시스템에 제안한 영상 향상 기법을 적용한 결과 기존 기법에 비해 오경보율이 낮음과 시각적으로 위협체의 식별이 용이함을 확인하였다.

• Elastomers and Composites
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• 제55권1호
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• pp.51-58
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• 2020

In this study, the thermal oxidation of raw natural rubber (NR) was investigated under controlled conditions by optical image and fourier transform infrared (FT-IR) analysis. The thermal oxidation was performed on a transparent thin film of raw NR coated on a KBr window in a dark chamber at 80℃ under low humidity conditions to completely exclude moisture and restrict light oxidation. Images of the thin film of raw NR were obtained before and after thermal oxidation. FT-IR absorption spectra were measured in the transmission mode at different thermal exposure times. The thermal oxidation of NR was examined by the changes in the absorption peaks at 3449, 1736, 1447, 1377, 1242, 1072, and 833 cm^-1, which corresponded to a hydroxyl group (-OH), a carbonyl group (-C=O) from an aldehyde and a ketone, a methylene group (-CH₂-), a methyl group (-CH₃), a carbon-oxygen single bond (-C-O) from an epoxide, a carbon-oxygen bond (-C-O) from an ether, an alcohol, a peroxide, or a cyclic peroxide, and a cis-methine group (cis-CCH₃=CH-), respectively. In the initial stage of thermal oxidation, two different types of free radicals were produced quickly and randomly by the homolytic cleavage of a double bond and allylic hydrogen abstraction. Aldehydes and ketones were formed from chain scissions of the double bonds and alcohols were produced from allylic hydrogen abstraction at the methylene or methyl groups. Two reactions seemed to proceed competitively with each other. At a later stage, oxidative crosslinks seemed to dominate through the combination of free radicals such as an allyl radical (CH=CHCH₂·), alkoxy radical (RO·), and peroxy radical (ROO·) and the reaction of a hydroperoxide (-ROOH) with a double bond. The image obtained after thermal oxidation showed hardening without cracks. Based on these observations, a plausible two-step mechanism was suggested for chain hardening caused by the thermal oxidation.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2011년도 춘계학술발표대회
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• pp.346-349
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• 2011

In this paper, we design a perceptually invisible dot pattern layout and its recognition scheme, and we apply the recognition scheme into a smart self learning aid for interactive learning aid. To increase maximum information capacity and also increase robustness to the noises, we design a ECC (error correcting code) based dot pattern with directional vector indicator. To make a smart self-learning aid, we embed the micro dot pattern (20 information bit + 15 ECC bits + 9 layout information bit) using K ink (CMYK) and extract the dot pattern using IR (infrared) LED and IR filter based camera, which is embedded in the smart pen. The reason we use K ink is that K ink is a carbon based ink in nature, and carbon is easily recognized with IR even without light. After acquiring IR camera images for the dot patterns, we perform layout adjustment using the 9 layout information bit, and extract 20 information bits from 35 data bits which is composed of 20 information bits and 15 ECC bits. To embed and extract information bits, we use topology based dot pattern recognition scheme which is robust to geometric distortion which is very usual in camera based recognition scheme. Topology based pattern recognition traces next information bit symbols using topological distance measurement from the pivot information bit. We implemented and experimented with sample patterns, and it shows that we can achieve almost 99% recognition for our embedding patterns.

• 한국멀티미디어학회논문지
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• 제19권2호
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• pp.122-127
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• 2016

This paper propose implementation method of SoC system for efficient depth image segmentation. SoC systems are combined platform in the form of the Software and Hardware IP. In order to perform effectively, the user to determine the operation of the configuration of each part. In this paper, we implemented a segmentation of depth images taken by the infrared sensor at APU of SoC system. The proposed method efficiently implements high performance and low power in SoC system. Proposed method that using software parts of SoC system is capable to use at several depth image processing systems.

• 비파괴검사학회지
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• 제32권3호
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• pp.276-283
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• 2012

In this study, it was studies the utilization of LIT(lock-in infrared thermography) which can detect defects in welded parts of ship and offshore structures. Quantitative analysis was used through methods of filtering and texture measurement of image processing techniques to find the optimized experimental condition. We verified reliability in our methods by applying image processing techniques in order to normalize evaluations of comparative images that show phase difference. In addition, low to mid exposure showed good results whereas high exposure did not provide significant results in regards to intensity of light exposure on surface. Lock-in frequency was satisfactory around 0.1 Hz regardless of intensity of light source we had. In addition, having the integration time of thermography camera inversely proportional to intensity of exposed light source during the experiment allowed good outcome of results.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2011년도 제41회 하계 정기 학술대회 초록집
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• pp.124-124
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• 2011

This study investigated the interaction of varied plasma power with ultralow-k toluene-tetraethoxysilane (TEOS) hybrid plasma polymer thin films, as well as changing electrical and mechanical properties. The hybrid thin films were deposited on silicon(100) substrates by plasma enhanced chemical vapor deposition (PECVD) system. Toluene and tetraethoxysilane were utilized as organic and inorganic precursors. In order to compare the electrical and the mechanical properties, we grew the hybrid thin films under various conditions such as rf power of plasma, bubbling ratio of TEOS to toluene, and post annealing temperature. The hybrid plasma polymer thin films were characterized by Fourier transform infrared (FT-IR) spectroscopy, atomic force microscopy (AFM), nanoindenter, I-V curves, and capacitance. Also, the hybrid thin films were analyzed by using ellipsometry. The refractive indices varied with the RF power, the bubbling ratio of TEOS to toluene, and the annealing temperature. To analyze their trends of electrical and mechanical properties, the thin films were grown under conditions of various rf powers. The IR spectra showed them to have completely different chemical functionalities from the liquid toluene and TEOS precursors. Also, The SiO peak intensity increased with increasing TEOS bubbling ratio, and the -OH and the CO peak intensities decreased with increasing annealing temperature. The AFM images showed changing of surface roughness that depended on different deposition rf powers. An nanoindenter was used to measure the hardness and Young' modulus and showed that both these values increased as the deposition RF power increased; these values also changed with the bubbling ratio of TEOS to toluene and with the annealing temperature. From the field emission scanning electron microscopy (FE-SEM) results, the thickness of the thin films was determined before and after the annealing, with the thickness shrinkage (%) being measured by using SEM cross-sectional images.

• 한국멀티미디어학회논문지
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• 제10권12호
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• pp.1559-1565
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• 2007

The many target-detection methods that use forward-looking infrared (FUR) images can deal with large targets measuring $70{\times}40$ pixels, utilizing their shape features. However, detection small targets is difficult because they are more obscure and there are many target-like objects. Therefore, few studies have examined how to detect small targets consisting of fewer than $30{\times}10$ pixels. This paper presents a small target detection method using clutter rejection with stochastic hypothesis testing for FLIR imagery. The proposed algorithm consists of two stages; detection and clutter rejection. In the detection stage, the mean of the input FLIR image is first removed and then the image is segmented using Otsu's method. A closing operation is also applied during the detection stage in order to merge any single targets detected separately. Then, the residual of the clutters is eliminated using statistical hypothesis testing based on the t-test. Several FLIR images are used to prove the performance of the proposed algorithm. The experimental results show that the proposed algorithm accurately detects small targets (Jess than $30{\times}10$ pixels) with a low false alarm rate compared to the center-surround difference method using the receiver operating characteristics (ROC) curve.

• 한국컴퓨터정보학회논문지
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• 제17권6호
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• pp.37-48
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• 2012

영상정합은 동일한 장면에 대해서 서로 다른 시점, 서로 다른 시간 혹은 서로 다른 특성의 센서로부터 얻은 영상들의 위치 관계를 대응 시켜주는 기법이다. 본 논문에서는 가시광선 영상 및 적외선 영상과 같은 다중센서 영상을 정합하기 위한 방법을 제안한다. 영상정합은 두 영상에서 특징점을 추출하고, 특징점 간의 대응 관계를 구함으로써 이루어진다. 기존의 다중센서 영상 정합을 위한 방법으로 정규상호정보를 이용하여 대응 특징점을 선별하는 방법이 제안되었다. 정규상호정보 기반의 영상정합 기법은 두 영상의 통계적 상관성이 전역적이어야 한다는 가정을 전제한다. 그러나 가시광선 영상과 적외선 영상에서는 이를 보장하지 못하는 경우가 많아 대응 특징점의 정확도가 저하되기 때문에 기존의 방법은 안정적인 정합 성능을 기대하기 힘들다. 본 논문에서는 영상의 공간정보로서 기울기 방향정보를 정규상호정보와 결합함으로써, 대응 특징점의 정확도를 향상시켰으며 이를 통해 정확성 및 안정적인 영상 정합 결과를 도모하였다. 다양한 실험 결과를 통해 제안하는 방법의 효용성을 증명하였다.