• 대한안전경영과학회지
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• 제6권3호
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• pp.303-309
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• 2004

Many system devices for fluoroscopic and general X-ray studies in diagnostic radiographic system have been being changed from analog mode to digital mode. In addition, among diagnostic imaging and radiologic examinations, fluoroscopic studies that requires functional diagnosis is being widely used. The video recording method of fluoroscopic studies has been useful in functional image diagnosis and dynamic image observation, but the utility of its image quality is being reduced because of limitation in setting play segments of the video player, inconvenience of play, difficulties in preserving reproduced images, the change of image quality, etc. In order to complement these shortages, it is necessary to facilitate access to patient diagnosis information such as storing, editing and sharing functional diagnosis images in response to the trend of the digitalization of digital radiographic & fluoroscopic system(DRF). Thus this study designed and implemented a device of storing functional dynamic images real time using a computer rather than existing video recording, aiming at contribution to functional image diagnosis.

• 한국환경보건학회지
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• 제30권2호
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• pp.108-114
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• 2004

Observation of microorganisms collected from contaminated soils has been mainly conducted by using microscopy. Microscopic measurement is occupied an important part of the microorganism experiment, and is used as an important tool to count microorganisms as well as to observe cellular form and mode of life in the field of soil microbe observation. In general, observation equipments for soil microbes consist of electron microscope, camera, frame grabber (image acquisition baud), and image analysis software. Because image analysis software should be linked with frame grabber most equipments have to be imported as the package form. Therefore, the observation system is very expensive and difficult to be operated. In this study, soil microbes＇ observation equipment with the vision system which is easy operated and cheaper than imported one was developed and tested. The efficiency of image capturing and data aquisition with developed frame grabber and software in this experiment was good enough to analyze the image of soil microorganism.

• 제어로봇시스템학회논문지
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• 제22권4호
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• pp.288-292
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• 2016

In this paper, we propose an infrared image based human victim recognition method for a search and rescue robot in dark environments, like general disaster situations. For recognizing a human victim, an infrared camera on a RGB-D camera, Microsoft Kinect, is used. The contrast and brightness of the infrared image are first improved by histogram equalization, and the noise on the image is removed by morphological operation and Gaussian filtering. For recognizing a human victim, the binarization and blob labeling methods are applied to the improved image. Finally, for verifying the effectiveness and feasibility of the proposed method, an experiment for human victim recognition is carried out in a dark environment.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1316-1318
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• 2003

The Bernstein polynomial is one of the classic algorithms of panoramic images mosaic for shading into process applying in Virtual Reality modeling. Nevertheless, it is proven that the algorithm has its own limitation and weakness in applications. This paper was given the improved algorithm using Sinusoidal function for image mosaic. In order to put the new algorithm into image processing software as a flexible and general tool, it was further developed an extension for graduation image fusion and multi-images mosaic.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1467-1469
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• 2003

Image matching is fundamental process to identify conjugate points on the stereo images. However, standard methods or general solutions for matching problem have not been found yet, in spite of long history. Quality of the matching basically depends on uniqueness of the matching entity and robustness of the algorithm. In this study, conjugate points were extracted by implementing interest operator, then area based matching method was applied to the topographical characteristics of the gray value as the matching entities. The matching entities were utilized based on the concept of the intrinsic image.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.204-206
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• 2003

In order to utilize remote sensed images effectively, a lot of image classification methods are suggested for many years. But, the accuracy of traditional methods based on pixel-based classification is not high in general. In this study, object oriented classification based on image segmentation is used to classify Landsat images. A necessary prerequisite for object oriented image classification is successful image segmentation. Object oriented image classification, which is based on fuzzy logic, allows the integration of a broad spectrum of different object features, such as spectral values , shape and texture. Landsat images are divided into urban, agriculture, forest, grassland, wetland, barren and water in sochon-gun, Chungcheongnam-do using object oriented classification algorithms in this paper. Preliminary results will help to perform an automatic image classification in the future.

• International journal of advanced smart convergence
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• 제7권4호
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• pp.108-113
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• 2018

In this study, we introduce a new image gradient computation based on understanding of image generation. Most images consist of groups of pixels with similar color information because the images are generally obtained by taking a picture of the real world. The general gradient operator for an image compares only the neighboring pixels and cannot obtain information about a wide area, and there is a risk of falling into a local minimum problem. Therefore, it is necessary to attempt to introduce the gradient operator of the interval concept. We present a bow-tie gradient by color values of pixels on bow-tie region of a given pixel. To confirm the superiority of our study, we applied our bow-tie gradient to image segmentation algorithms for various images.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제10권2호
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• pp.53-66
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• 2006

최근 몰입도가 높은 가시화 기법 중 하나인 3차원 입체영상에 관심이 높아지고 있다. 그러나 일반적인 2차원 영상과는 달리 3차원 입체 영상은 3차원의 기하정보가 존재해야만 영상 생성이 가능하다. 3차원 기하정보가 존재하지 않는 2차원 영상을 이용한 입체 영상 저작이 매우 어렵다. 따라서 본 논문에서는 영상 기반 모델링 기법을 이용한 한 장의 실사 영상으로부터 3차원 입체 영상 생성하기 위한 3차원 입체 영상 저작 시스템을 제안한다. 제안한 시스템은 Adobe Photoshop(R)의 Plug-in형태로 개발함으로써 범용성과 확장성을 고려하였고 몰입감이 높은 입체 영상의 시점을 결정하기 위한 대화식 3차원 입체 영상 미리 보기 기능을 제공한다.

• 동서간호학연구지
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• 제20권2호
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• pp.129-135
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• 2014

Purpose: The purpose of this study was to identify changes in image of nurses of nursing students before and after their first clinical practice. Methods: The survey was performed to 60 nursing students in one university in Goseong-gun, Gangwon-do. All participants had their first clinical practice for 8 weeks at four general hospitals in Seoul. The data were collected by questionnaires and were analyzed with frequency, independent t-test, one-way ANOVA using SPSS 19.0. Results: After the first clinical practice, the mean score ($4.05{\pm}0.85$) of the image of nurse was slightly higher than that of the image ($4.03{\pm}0.93$) before the clinical practice. However, there was no statistical significance in the scores between before and after the clinical practice (t=-0.55, p=.589). In four subcategories, before the first clinical practice, professional image was the highest followed by traditional, personal, and social image in order but after the clinical practice, professional image was the highest followed by traditional, social, and personal image in the mean scores of the image of nurse. Conclusion: The findings of the study may be a basis for expanding nursing practice and education related to image of nurse.

• 한국보건간호학회지
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• 제24권1호
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• pp.29-38
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• 2010

Purpose: To examine the image of nurses as perceived by nursing students and clarify the image determinants. Methods: Subjects were 260 nursing students from a nursing college in Chungcheongbuk-Do. They received and completed a structured questionnaire from March 12 to April 20. 2007. The questionnaire data was analyzed using SPSS Win 12.0. Results: The mean score of the image of nurses was 115.89 of a total 165. According to the subjects' general characteristics, the image of nurses was lower in 2nd and 3rd year nursing students who did not profess a religious affiliation, those without a nurse among their relatives, those who were neutral concerning nursing science, those whose perceived personality was negative, and in those whose perceived adaptability was moderate. The mean score of the image of nurses per item was 3.51 of a total 5, the lowest item of image of nurses was 'Many opportunities for promotion'. The mean score of factors determining the image of nurses was 3.86 of a total 5, the highest one was 'Nurses' expert knowledge'. Conclusion: Intervention to improve the image of nurses by nursing students is prudent.