• Korean Journal of Remote Sensing
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• v.22 no.5
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• pp.433-437
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• 2006

SAR image is not dependent on the weather condition and Sun's electromagnetic energy. But geometric distortions exist in almost all radar image, it need to be correction. The Radarsat-1 SAR images are used to monitoring of moisture acquired in May 1/1998 and May 25/1998. Radarsat-1 C band data is sensitive on moisture condition. Study area is located in Non-san site. It is made up almost agricultural area and a little of forest area. In May, Rice-planting is started in the midland of Korea. So moisture condition is undergoing many changes. Forest area need to be terrain effect removal for accurately results because it is included in layover, shadow, and so on. Results of land-cover moisture condition map are useful tool for fields of agriculture, forestry industry, and disaster.

• Journal of Chest Surgery
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• v.54 no.6
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• pp.532-534
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• 2021

This study examined a rarely seen benign heart tumor that was found incidentally on a chest X-ray. Radiological images were taken of a 42-year-old patient with no symptoms of a heart condition, showing a thick-walled left lung cavity that appeared after prior inflammation and concomitant enlargement of the cardiac shadow. A large subepicardial lipoma in combination with a chronic abscess on the left lung was revealed on chest computed tomography. The treatment consisted of simultaneous surgical removal of both the lung and heart lesions using video-assisted thoracoscopic surgery.

• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.1149-1161
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• 2021

With a trend of the utilization of computer vision for satellite images, cloud detection using deep learning also attracts attention recently. In this study, we conducted a U-Net cloud detection modeling using SPARCS (Spatial Procedures for Automated Removal of Cloud and Shadow) Cloud Dataset with the image data augmentation and carried out 10-fold cross-validation for an objective assessment of the model. Asthe result of the blind test for 1800 datasets with 512 by 512 pixels, relatively high performance with the accuracy of 0.821, the precision of 0.847, the recall of 0.821, the F1-score of 0.831, and the IoU (Intersection over Union) of 0.723. Although 14.5% of actual cloud shadows were misclassified as land, and 19.7% of actual clouds were misidentified as land, this can be overcome by increasing the quality and quantity of label datasets. Moreover, a state-of-the-art DeepLab V3+ model and the NAS (Neural Architecture Search) optimization technique can help the cloud detection for CAS500 (Compact Advanced Satellite 500) in South Korea.

• Korean Journal of Bronchoesophagology
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• v.8 no.2
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• pp.36-42
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• 2002

Aspirated and ingested foreign bodies continue to present challenges to otolaryngologists. The major discussions were the accurate diagnosis and speedy, safe removal of foreign body. Many diagnostic tools have been tried and removal of foreign bodies has been facilitated by technical improvements with rod lens telescope, video endoscope, flexible fiberoendoscope and safer anesthesia. In spite of these advances, more than 3000 children's death occur per year in the world because of foreign bodies and untold number of parients survive with variable sequelae. In these study, 59 consecutive cases of children and adults with tracheobronchial foreign bodies were reviewed from 1992 to 2001. We studied the history, symptoms, ausculatory radiologic, bronchoscopic finding and post operative complications. 71% (42 cases in 59 cases) of patients had foreign body aspiration history or choking crisis. In 64% (38cases) cough was observed. 81% (48cases) had abnormal finding in chest auscultation and 78% in chest X-ray. Computed tomography was done in 12 cases, all were founded foreign body shadow. Main site of foreign body was right main bronchus (41%, 24cases) and most frequent foreign body was peanut (36% , 21cases) . 4 experienced ICU(intensive care unit) care. 2 cases were failed to remove foreign. In these cases 1 cases was improved by steroid therapy and physical therapy and the other was treated with thoracotomy. We concluded the morbidity and motality were much correlated with speedy decision making and experienced skill of operator.

• Journal of the Institute of Convergence Signal Processing
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• v.12 no.4
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• pp.237-241
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• 2011

Stable operation of an industry crane becomes more important as current industry facilities become larger and operate at higher speeds. This paper proposes implementing a system for monitoring moving objects within safety lines of an industry crane by camera. The cost of implementing such a system is low, since it requires only a webcam and notebook computer. The detection algorithm of moving objects uses the feature extraction method by image differential histograms. The proposed system is robust to variations in the weather and environment. The area of the inside safety lines is considered and shadow removal algorithm is used for good performance of the system. The system is valuable for practical applications in the industry.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.2C
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• pp.78-85
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• 2011

In this paper we proposed an intelligent PTZ camera system which detects, classifies and tracks moving objects. If a moving object is detected, features are extracted for classification and then realtime tracking follows. We used GMM for detection followed by shadow removal. Legendre moment is used for classification. Without auto focusing, we can control the PTZ camera movement by using center points of the image and object's direction, distance and velocity. To implement the realtime system, we used TI DM6446 Davinci processor. Throughout the experiment, we obtained system's high performance in classification and tracking both at vehicle's normal and high speed motion.

• Journal of the Semiconductor & Display Technology
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• v.10 no.2
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• pp.31-38
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• 2011

This paper introduces a video based traffic monitoring system for detecting vehicles and obstacles on the road. To segment moving objects from image sequence, we adopt the background subtraction algorithm based on the local binary patterns (LBP). Recently, LBP based texture analysis techniques are becoming popular tools for various machine vision applications such as face recognition, object classification and so on. In this paper, we adopt an extension of LBP, called the Diagonal LBP (DLBP), to handle the background subtraction problem arise in vision-based autonomous parking systems. It reduces the code length of LBP by half and improves the computation complexity drastically. An edge based shadow removal and blob merging procedure are also applied to the foreground blobs, and a pose estimation technique is utilized for calculating the position and heading angle of the moving object precisely. Experimental results revealed that our system works well for real-time vehicle localization and tracking applications.

• Journal of the Korean Burn Society
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• v.22 no.2
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• pp.58-65
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• 2019

Wound caused by high-tension electrical burns is difficult to manage because the wound is deep and complex. The wound is progressively necrotic due to microvascular injury resulting in deep tissue exposure. So, coverage of the wound at the entry point and the exit point is cumbersome, often requiring flap coverage. We experienced a case of one patient for peroneal artery perforator free flap coverage on the palm of the right hand of the entry point of electrical burn. The left foot wound of electrical exit point was covered by full thickness skin graft. Also a small wound was on the left side of the lower back was the exit point of electrical burn. The lower back wound was healed and recurred repeatedly after burn. On postburn day 6 month, through the radiologic exam, metal shadow was identified in the left gluteus muscle forming chronic sinus. We explored the wound of sinus and a foreign body was identified in the sac as multi braid wires thin as hair. According to the patient's past history, we suspected that the back wound was caused by electrical burn injury through the wires.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.1
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• pp.43-52
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• 2016

Due to the characteristics of microwave signals, Radar satellite image has been used for flood detection without weather and time influence. The more methods of flood detection were developed, the more detection rate of flood area has been increased. Since flood causes a lot of damages, flooded area should be distinguished from non flooded area. Also, the detection of flood area should be accurate. Therefore, not only image resolution but also the filtering process is critical to minimize resolution degradation. Although a resolution of radar images become better as technology develops, there were a limited focused on a highly suitable filtering methods for flood detection. Thus, the purpose of this study is to find out the most appropriate filtering method for flood detection by comparing three filtering methods: Lee filter, Frost filter and NL-means filter. Therefore, to compare the filters to detect floods, each filters are applied to the radar image. Comparison was drawn among filtered images. Then, the flood map, results of filtered images are compared in that order. As a result, Frost and NL-means filter are more effective in removing the speckle noise compared to Lee filter. In case of Frost filter, resolution degradation occurred severly during removal of the noise. In case of NL-means filter, shadow effect which could be one of the main reasons that causes false detection were not eliminated comparing to other filters. Nevertheless, result of NL-means filter shows the best detection rate because the number of shadow pixels is relatively low in entire image. Kappa coefficient is scored 0.81 for NL-means filtered image and 0.55, 0.64 and 0.74 follows for non filtered image, Lee filtered image and Frost filtered image respectively. Also, in the process of NL-means filter, speckle noise could be removed without resolution degradation. Accordingly, flooded area could be distinguished effectively from other area in NL-means filtered image.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.5D
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• pp.635-644
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• 2009

Image processing technique in the outdoor environment is very sensitive, and it tends to lose a lot of accuracy when it rapidly changes by outdoor environment. Therefore, in order to calculate accurate traffic information using the traffic monitoring system, we must resolve removing shadow in transition time, Distortion by the vehicle headlights at night, noise of rain, snow, and fog, and occlusion. In the research, we developed a system to calibrate the amount of traffic, speed, and time occupancy by using image processing technique in a variety of outdoor environments change. This system were tested under outdoor environments at the Gonjiam test site, which is managed by Korea Institute of Construction Technology (www.kict.re.kr) for testing performance. We evaluated the performance of traffic information, volume counts, speed, and occupancy time, with 4 lanes (2 lanes are upstream and the rests are downstream) from the 16th to 18th December, 2008. The evaluation method performed as based on the standard data is a radar detection compared to calculated data using image processing technique. The System evaluation results showed that the amount of traffic, speed, and time occupancy in period (day, night, sunrise, sunset) are approximately 92-97% accuracy when these data compared to the standard data.