• 한국농업기계학회:학술대회논문집
• /
• 한국농업기계학회 2017년도 춘계공동학술대회
• /
• pp.157-157
• /
• 2017

To minimize the damage by wild birds and acquire the benefits such as protection against weeds and maintenance of water content in soil, the mulching black color vinyl after seeding should be carried out. Non-contact and non-destructive methods that can continuously determine the locations are necessary. In this study, a crop position detection method was studied that uses infrared thermal image sensor to determine the cotyledon position under vinyl mulch. The moving system for acquiring image arrays has been developed for continuously detecting crop locations under plastic mulching on the field. A sliding mechanical device was developed to move the sensor, which were arranged in the form of a linear array, perpendicular to the array using a micro-controller integrated with a stepping motor. The experiments were conducted while moving 4.00 cm/s speed of the IR sensor by the rotational speed of the stepping motor based on a digital pulse width modulation signal from the micro-controller. The acquired images were calibrated with the spatial image correlation. The collected data were processed using moving averaging on interpolation to determine the frame where the variance was the smallest in resolution units of 1.02 cm. Non-linear integral interpolation was one of method for analyzing the frequency using the normalization image and then arbitrarily increasing the limited data value of $16{\times}4pixels$ in one frame. It was a method to relatively reduce the size of overlapping pixels by arbitrarily increasing the limited data value. The splitted frames into 0.1 units instead of 1 pixel can propose more than 10 times more accurate and original method than the existing correction method. The non-integral calibration method was conducted by applying the subdivision method to the pixels to find the optimal correction resolution based on the first reversed frequency. In order to find a correct resolution, the expected location of the first crop was indicated on near pixel 4 in the inversion frequency. For the most optimized resolution, the pixel was divided by 0.4 pixel instead of one pixel to find out where the lowest frequency exists.

• 대한의료기공학회지
• /
• 제5권1호
• /
• pp.1-21
• /
• 2001

• 한국위성정보통신학회논문지
• /
• 제8권4호
• /
• pp.100-104
• /
• 2013

본 논문은 열영상 기반의 화염 검출을 위한 기존의 문턱치 설정 기법들을 분석하고 최적 문턱치 설정 방안을 제시한다. 기존의 열영상 기반의 화염검출 알고리즘들은 보통 고정 문턱치를 이용하여 화염 후보영역을 추출하고 후처리를 통해 화염 검출을 최종 판정하므로 화염 후보영역의 결정 과정은 최종 화재 검출 결과에 많은 영향을 준다. 따라서 카메라의 종류나 운영 환경에 따라 입력 영상의 대비와 밝기의 변화가 발생하기 때문에 화염 검출 문턱치는 입력영상의 특성에 연동하여 설정되어져야 한다. 따라서 최적 문턱치 설정 방안을 제시하기 위해 고정 명암도, 평균값, 표준편차 및 최대값을 이용한 문턱치 설정 기법들을 비교 분석하였다. 결론적으로 최적 문턱치는 평균과 표준편차의 합보다 크며 최대값 보다는 작은 값으로 설정 한다면 화염 검출 정확도가 기존 고정 문턱치 방식에 비해 크게 개선될 것으로 기대된다.

• 비파괴검사학회지
• /
• 제31권5호
• /
• pp.508-515
• /
• 2011

보빈 치아 균열을 능동형 적외선 열화상 기술을 이용하여 가시화 하였다. 보빈 치아에 인공 크랙을 발생시킨 후, 외부에서 사인파 형태의 열을 가하면서 보빈 치아에서 방사되는 적외선을 적외선 카메라로 측정하여 이미지화 하였다. 열원의 조화주기와 동기시켜 순차적으로 측정한 보빈 치아의 이미지로부터 열원과 의 위상정보를 추출한 후 이를 다시 영상화 하여 위상 이미지를 생성하였다. 실험 결과로부터 육안이나 종래의 수동형 적외선 이미지에서는 검출하기 어려웠던 치아 크랙이 본 연구와 같은 능동적 적외선 검사방법을 통하여 보다 효과적으로 검사 할 수 있는 가능성을 확인하였다.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 1992년도 하계학술대회 논문집 B
• /
• pp.1250-1254
• /
• 1992

This paper describes the designed and fabricated thermal imaging system with the SPRITE(Signal PRocessing in The Element) detector, operating in the 3-12 micron band. This system consists of an afocal telescope, a scan unit containing the SPRITE detector, an electronic processor unit and a cooler. The optical scan system utilizing rotating polygon and oscillating mirror, is 2-dimensional serial/parallel scan type using five elements of the detector. And the electronic processor unit performs digital scan conversion to reform the parallel data stream into serial analog data compatable with conventional RS-170 video. The scan field of view is 40 ${\times}$ 26.7 and the MRTD(Minium Resolvable Temperature Difference) is 0.6 K at 7.5 cycles/mm. The acquired thermal image indicates that this system has a satisfactory performance.

• Advances in Computational Design
• /
• 제5권2호
• /
• pp.127-146
• /
• 2020

Building Information Modeling (BIM) is increasingly used throughout the facility's life cycle for various applications, such as design, construction, facility management, and maintenance. For existing buildings, the geometry of as-built BIM is often constructed using dense, three dimensional (3D) point clouds data obtained with laser scanners. Traditionally, as-built BIM systems do not contain the material and textural information of the buildings' elements. This paper presents a semi-automatic method for generation of material and texture rich as-built BIM. The method captures and integrates material and textural information of building elements into as-built BIM using thermal infrared sensing (TIS). The proposed method uses TIS to capture thermal images of the interior walls of an existing building. These images are then processed to extract the interior walls using a segmentation algorithm. The digital numbers in the resulted images are then transformed into radiance values that represent the emitted thermal infrared radiation. Machine learning techniques are then applied to build a correlation between the radiance values and the material type in each image. The radiance values were used to extract textural information from the images. The extracted textural and material information are then robustly integrated into the as-built BIM providing the data needed for the assessment of building conditions in general including energy efficiency, among others.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제8권10호
• /
• pp.3475-3489
• /
• 2014

Here we present a simple flame detection method for an infrared (IR) thermal camera based real-time fire surveillance digital signal processor (DSP) system. Infrared thermal cameras are especially advantageous for unattended fire surveillance. All-weather monitoring is possible, regardless of illumination and climate conditions, and the data quantity to be processed is one-third that of color videos. Conventional IR camera-based fire detection methods used mainly pixel-based temporal correlation functions. In the temporal correlation function-based methods, temporal changes in pixel intensity generated by the irregular motion and spreading of the flame pixels are measured using correlation functions. The correlation values of non-flame regions are uniform, but the flame regions have irregular temporal correlation values. To satisfy the requirement of early detection, all fire detection techniques should be practically applied within a very short period of time. The conventional pixel-based correlation function is computationally intensive. In this paper, we propose an IR camera-based simple flame detection algorithm optimized with a compact embedded DSP system to achieve early detection. To reduce the computational load, block-based calculations are used to select the candidate flame region and measure the temporal motion of flames. These functions are used together to obtain the early flame detection algorithm. The proposed simple algorithm was tested to verify the required function and performance in real-time using IR test videos and a real-time DSP system. The findings indicated that the system detected the flames within 5 to 20 seconds, and had a correct flame detection ratio of 100% with an acceptable false detection ratio in video sequence level.

• Journal of Acupuncture Research
• /
• 제17권3호
• /
• pp.219-232
• /
• 2000

Objective : The meridian and the acupuncture point of oriental medicine are very important in the department of acupuncture and moxibustion. Recently, we needed to study on the phenomenon of the meridian and acupuncture point with objective data. And then, I made a study of effects on the thermal changes of Five-shu-points(五輸穴) of the Lung meridian with acupuncture on Taeyon($L_9$, 太淵), using Digital infrared thermal imaging(D.I.T.I). Method : This study researched into clinical statistics for 60 men who are in good health. The objective was divided into two groups, one was the control group(CON, N=30) and the other was acupuncture group(ACU, N=30). The first, I took a picture for 60 men with the Digital infrared thermal imaging(D.I.T.I.). After 10 minutes, I took a second picture for each group following experimental methods. Results : I. The Mean temperature of Sasang($L_{11}$), Oje($L_{10}$), Taeyon($L_9$), Kyonggo($L_8$), Choldaek($L_5$) and Taenung($P_7$) area in adult men with good health, made a no significant difference with left and right side points. 2. Acupuncture group with acupuncture stimularion on Taeyon($L_9$) had a effect on much thermal changes of Sasang($L_{11}$), Oje($L_{10}$), Taeyon($L_9$), Kyonggo($L_8$) and Choldaek($L_5$) than control group. The thermal changes of the area which is a meridian point in the Lung Meridian of acupuncture group differed from control group with significant decrease and increase following the decreasing or increasing temperature class. Each class of ascent and descent thermal change was statistically significant value compared with control group. 3. Acupuncture group with acupuncture stimulation on Taeyon($L_9$) had not a effect on thermal changes of Taenung($P_7$) area than control group. And the increasing and decreasing temperature class of the acupuncture group did not significantly differ from control group. Conclusion : I could think that the acupuncture on Taeyon($L_9$) affected the thermal change of the area which is the Five-shu-points in the Lung Meridian. And then I could relate these results with the existence of the meridian and acupuncture point.

• 예술인문사회 융합 멀티미디어 논문지
• /
• 제8권10호
• /
• pp.63-70
• /
• 2018

영상을 이용한 생체 신호 측정 기술이 발전하고 있으며, 특히 생명 유지를 위한 호흡 신호 측정기술 연구가 지속적으로 진행되고 있다. 기존 기술은 사람의 몸에서 방출하는 열을 측정하는 열화상 카메라를 통하여 호흡 신호를 측정하였다. 또한, 실시간으로 사람의 흉부 움직임을 분석하여 호흡률을 측정하는 연구도 진행되었다. 하지만, 적외선 열화상 영상을 이용하여 영상 처리를 하는 것은 외부 환경 요인으로 인해 호흡 기관의 탐색이 어려울 수 있으며, 이에 따라 호흡률 측정의 정확도가 떨어지는 문제들이 발생했다. 본 연구에서는 호흡 기관의 영역 탐색을 강화하기 위해 가시광 및 적외선 열화상 카메라를 이용하여 영상을 취득하였다. 그리고 두 영상을 기반으로 얼굴 인식, 영상 정합 등의 과정을 통해 호흡 기관 영역의 특징을 추출한다. 추출한 특징 값을 통계학적 분류 방법 중 하나인 k-최근접 이웃 분류기를 통해 호흡 신호의 패턴을 분류한다. 분류한 패턴의 특성에 따라 호흡률을 계산하며, 측정한 호흡률의 성능을 확인하기 위해 실제 호흡률과 비교 과정을 통해 분석함으로써, 호흡률 측정의 가능성을 확인하였다.

• Journal of Acupuncture Research
• /
• 제27권5호
• /
• pp.89-96
• /
• 2010

Objectives : This study is designed to evaluate the diagnostic significances of DITI on the patients of low back pain according to impression, symptoms and medical history. Methods : According to impression, symptoms and medical history, thermal changes of $BL_{23}$, $BL_{26}$, $BL_{40}$, $BL_{57}$, $GB_{31}$ and $BL_{60}$ were compared forty-eight low back pain patients and twenty-three normal group. Results : Surface temperature of $BL_{26}$ in case of L-spine HNP is significantly higher than normal group. Surface temperature of $BL_{26}$ in case of low back pain is significantly higher, $GB_{31}$ of radiating pain is significantly lower than normal group. Surface temperature of $BL_{26}$ in case of acute stage is significantly higher, $GB_{31}$ of chronic stage is significantly lower than normal group. Conclusions : Thermal changes of $BL_{26}$ and $GB_{31}$ on the patients of low back pain compared with normal group, according to impression, symptoms and medical history has significances.