• Journal of Korean Society for Geospatial Information Science
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• v.21 no.4
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• pp.101-107
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• 2013

Generally the commercial high-resolution images have their coordinates, but the locations are locally different according to the pose of sensors at the acquisition time and relief displacement of terrain. Therefore, a process of image co-registration has to be applied to use the multi-temporal images together. However, co-registration is interrupted especially when images include the cloud-covered regions because of the difficulties of extracting matching points and lots of false-matched points. This paper proposes an automatic co-registration method for the cloud-covered high-resolution images. A scale-invariant feature transform (SIFT), which is one of the representative feature-based matching method, is used, and only features of the target (cloud-covered) images within a circular buffer from each feature of reference image are used for the candidate of the matching process. Study sites composed of multi-temporal KOMPSAT-2 images including cloud-covered regions were employed to apply the proposed algorithm. The result showed that the proposed method presented a higher correct-match rate than original SIFT method and acceptable registration accuracies in all sites.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4D
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• pp.687-693
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• 2006

Image co-registration is the process of overlaying two images of the same scene, one of which represents a reference image, while the other is geometrically transformed to the one. In order to improve efficiency and effectiveness of the co-registration approach, the author proposed a pre-qualified area matching algorithm which is composed of feature extraction with canny operator and area matching algorithm with cross correlation coefficient. For refining matching points, outlier detection using studentized residual was used and iteratively removes outliers at the level of three standard deviation. Throughout the pre-qualification and the refining processes, the computation time was significantly improved and the registration accuracy is enhanced. A prototype of the proposed algorithm was implemented and the performance test of 3 Landsat images of Korea. showed: (1) average RMSE error of the approach was 0.435 pixel; (2) the average number of matching points was over 25,573; (3) the average processing time was 4.2 min per image with a regular workstation equipped with a 3 GHz Intel Pentium 4 CPU and 1 Gbytes Ram. The proposed approach achieved robustness, full automation, and time efficiency.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.431-432
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• 2023

본 연구는 초상권을 보호할 수 있는 실시간 영상 모자이크 서비스이다. 실시간 모자이크 서비스에서는 모자이크 처리를 제외하기 위한 이용자 얼굴 등록 기능을 갖고 있다. 이렇게 등록된 얼굴정보는 실시간 영상 스티리밍 서비스에서 모자이크가 되지 않도록 한다. 즉, 모자이크를 원하지 않는 정보를 미리 시스템에 등록하여 실시간 서비스에 어떠한 부분을 모자이크에서 제외 할 것인지 세팅하여 실시간 스트리밍 서비스를 제공한다. 기존 기술과의 차이점은 사람의 얼굴뿐만 아니라 방송에 나오면 안 되는 흉기나 담배 등을 모자이크 처리해 줄 수 있는 기능을 제공하고, 실시간으로 모자이크된 영상 스트리밍 서비스를 제공할 수 있는 장점을 갖는다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.32 no.4_1
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• pp.319-326
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• 2014

The accurate geo-referencing processes that apply ground control points is prerequisite for effective end use of HRSI (High-resolution satellite imagery). Since the conventional control point acquisition by human operator takes long time, demands for the automated matching to existing reference data has been increasing its popularity. Among many options of reference data, the airborne LiDAR (Light Detection And Ranging) data shows high potential due to its high spatial resolution and vertical accuracy. Additionally, it is in the form of 3-dimensional point cloud free from the relief displacement. Recently, a new matching method between LiDAR data and HRSI was proposed that is based on the image projection of whole LiDAR data into HRSI domain, however, importing and processing the large amount of LiDAR data considered as time-consuming. Therefore, we wmotivated to ere propose a local LiDAR chip generation for the HRSI geo-referencing. In the procedure, a LiDAR point cloud was rasterized into an ortho image with the digital elevation model. After then, we selected local areas, which of containing meaningful amount of edge information to create LiDAR chips of small data size. We tested the LiDAR chips for fully-automated geo-referencing with Kompsat-2 and Kompsat-3 data. Finally, the experimental results showed one-pixel level of mean accuracy.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.22 no.4
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• pp.359-365
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• 2004

Data integration techniques are becoming increasing1y important for conquering a limitation with a single data. Image fusion which improves the spatial and spectral resolution from a set of images with difffrent spatial and spectral resolutions, and image registration which matches two images so that corresponding coordinate points in the two images correspond to the same physical region of the scene being imaged have been researched. In this paper, we compared with six image fusion methods(Brovey, IHS, PCA, HPF, CN, and MWD) with panchromatic and multispectral images of IKONOS and developed the registration method for applying to SPOT-5 satellite image and RADARSAT SAR satellite image. As the result of tests on image fusion and image registration, we could find that MWD and HPF methods showed the good result in term of visual comparison analysis and statistical analysis. And we could extract patches which depict detailed topographic information from SPOT-5 and RADARSAT and obtain encouraging results in image registration.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.6
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• pp.481-489
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• 2019

Change detection, one of the main applications of multi-temporal satellite images, is an indicator that directly reflects changes in human activity. Change detection can be divided into pixel-based change detection and object-based change detection. Although pixel-based change detection is traditional method which is mostly used because of its simple algorithms and relatively easy quantitative analysis, applying this method in VHR (Very High Resolution) images cause misdetection or noise. Because of this, pixel-based change detection is less utilized in VHR images. In addition, the sensor of acquisition or geographical characteristics bring registration noise even if co-registration is conducted. Registration noise is a barrier that reduces accuracy when extracting spatial information for utilizing VHR images. In this study object-based change detection of VHR images was performed considering registration noise. In this case, object-based change detection results were derived considering various pixel-based change detection methods, and the major voting technique was applied in the process with segmentation image. The final object-based change detection result applied by the proposed method was compared its performance with other results through reference data.

• Korean Journal of Remote Sensing
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• v.30 no.5
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• pp.547-557
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• 2014

This paper presents a method for designing circular template used in similarity measurement for image registration. Circular template has translation and rotation invariant property, which results in correct matching of control points for image registration under the condition of translation and rotation between reference and sensed images. Circular template consisting of the pixels located on the multiple circumferences of the circles whose radii vary from zero to a certain distance, is converted to two-dimensional Discrete Polar Coordinate Matrix (DPCM), whose elements are the pixels of the circular template. For sensed image, the same type of circular template and DPCM are created by rotating the circular template repeatedly by a certain degree in the range between 0 and 360 degrees and then similarity is calculated using mutual information of the two DPCMs. The best match is determined when the mutual information for each rotation angle at each pixel in search area is maximum. The proposed algorithm was tested using KOMPSAT-2 images acquired at two different times and the results indicate high accurate matching performance under image rotation.

• Proceedings of the Korean Society of Medical Physics Conference
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• 2003.09a
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• pp.51-51
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• 2003

국민건강보험재정건전화특별법 (제정 2002.1.19 법률 제 6620호)은 건강보험의 재정적자를 조기에 해소하고 재정수지의 균형을 이루도록 함으로써 건강보험제도의 발전과 국민건강 증진 도모를 그 목적으로 하며, 제14조(특수의료장비의 설치ㆍ운영)에서 의료기관은 보건복지부장관이 고시한 특수의료장비를 설치ㆍ운영하고자 하는 때에는 보건복지부령이 정하는 바에 따라 이를 등록하여야 하며 설치 인정 기준에 적합하게 설치ㆍ운영하여야 하고 정기적인 품질관리를 받아야한다고 명시하였다. 특수 의료장비의 설치 및 운영에 관한 규칙 (제정 2003.1.14 보건복지부령 제235호)은 국민건강보험재정건전화특별법이 제정됨에 따라 특수의료장비의 적정 한 설치와 활용을 위하여 의료기관에서 설치ㆍ운영하는 특수의료장비의 등록절차 설치인정기준 및 품질관리 절차 등을 정하고 특수의료장비에 대한 관리체계를 확립하려는 것이다. 특수의료장비의 설치 및 운영에 관한 규칙의 주요 골자는 가. 의료기관에서 특수장비를 설치ㆍ운영하고자 하는 경우 보건복지부장관 또는 시ㆍ도 지사에게 등록하도록 하였는바, 이 등록에 대한 절차와 특수의료장비의 설치인정기준을 정함, 나. 특수의료 장비에 대한 정기적인 품질관리검사를 서류검사와 정밀감사로 구분하여 서류검사는 1 년마다, 정밀검사는 3 년마다 받도록 함, 다. 품질관리검사기관의 장은 특수의료장비품질관리검사성적서를 신청인에게 교부하고, 보건복지부 또는 시ㆍ도지사 및 건강보험심사평가위원장에게 검사결과를 통보하도록 함, 라. 특수의료정비를 설치ㆍ운영하는 의료기관의 개설자 또는 관리자 및 품질관리검사기관의 장이 작성ㆍ비치ㆍ보존하여야할 서류를 정함이다. 보건복지부장관에게 등록하여야할 특수의료장비는 자기공명영상촬영장치와 전산화단층촬영 장치이며, 시ㆍ도지사에게 등록하여야할 특수의료장비는 유방촬영용장치이다. 본 발표에서는 특수의료장비의 설치 및 운영에 관한 규칙에 대한 개요와 연세의료원 세브란스병원에서 시행하고 있는 특수의료장비의 정도관리 검사, 팬텀영상검사, 그리고 임상영상검사를 소개하고자한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1152-1157
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• 2021

This paper proposes a face recognition method for access control of apartment building. Different from most existing face recognition methods, the proposed one does not require any manual process for face enrollment. When a person is exiting through the main entrance door, his/her face data (i.e., face image and face feature) are automatically extracted from the captured video and registered in the database. When the person needs to enter the building again, the face data are extracted and the corresponding face feature is compared with the face features registered in the database. If a matching person exists, the entrance door opens and his/her access is allowed. The face data of the matching person are immediately deleted and the database has the latest face data of outgoing person. Thus, a higher recognition accuracy could be expected. To verify the feasibility of the proposed method, Python based face recognition has been implemented and the cloud service provided by a web portal.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.6
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• pp.652-658
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• 2019

When IoT is applied to various research experiment fields such as physics, pharmacy, biology and medicine, it can increase the safety and convenience of researchers by intelligently monitoring and controlling research equipment and environment with various sensors and devices. For accurate and convenient record management and the research history and the basis but also for the reverse tracking, real-time reagent measurement and registration should be provided as a research support automation services. Currently, existing methods of reagent management are operated by computerized method, but reagent registration and management are not automated. And also record is managed manually, there are many hassles and problems such as a record error and too much time required for quantification and registration for many reagents. In this paper, we study a real time reagent measuring and registration method based on IoT to resolve the problems aforementioned, by the information of the reagent acquired by image recognition and NFC method.