• Korean Journal of Digital Imaging in Medicine
• /
• v.11 no.1
• /
• pp.35-41
• /
• 2009

This study was conducted to improve performance flow of PACS registration and output of external medical images by developing or adding File Transfer Protocol(FTP) Module on Order Communication System(OCS) and to upgrade efficiency of performance. The numbers of requests for examination of external medical images from January 2004 to December 2007 were investigated and the numbers of cases of examinations and losses were done respectively from January to June, 2007 as a period before the improvement and from July to December, 2007 as a period after it. Satisfaction of persons inputting external medical images of CD was asked directly before and after the improvement. When the numbers of requests for examination of external medical images from 2004 to 2007 2004 were investigated, they were 12,783, 16,774, 21,613 and 27,487 cases in 2004, 2005, 2005 and 2007 respectively. For the numbers of the requests from January to December, 2007 it was the lowest in February by recording 1846 and it was 2800 in October. While the number of loss of external medical images was averagely 3.6 before using FTP Module on OCS, it reduced to 0 and satisfaction increased to 98% after it. By utilizing FTP Module on OSC for PACS registration of external medical images, the images were delivered simultaneously with occurrence of order, PACS registration of many patients was conducted together and CDs were returned to patients immediately after sending images from outpatient clinics or wards to remove possibility of losing them. In addition, because the module was established on OCS and data were sent associated with order, problems related with order were decreased. By eliminating movement distance it was turned out to be very effective in terms of time and space.

• Journal of Digital Convergence
• /
• v.12 no.5
• /
• pp.221-229
• /
• 2014

The study considers the meaning of the composite images created when users capture present images over past images tagged location data in using the mobile augmented reality technology. The composite image through the location-based augmented reality technology is the result of matching the same location data between present images users are capturing and past images captured already. It is the new composite images that contain two different narratives-current and past in the same space and in real-time. We developed the mobile application implemented augmented reality technology and analysed the process that users create multi-layered narrative in the middle of capturing present image through augmented reality module. In addition, through the comparison with similar studies and applications of the augmented reality, we found that the key to give the multi-narrative in the composite images is the user's participation to put its personal intentions in real-time capturing process. In further development, we'll be able to utilize the application in order that users easily create multi-layered narrative composite image using cultural and personal records.

• Proceedings of the Korea Institute of Convergence Signal Processing
• /
• 2005.11a
• /
• pp.178-181
• /
• 2005

Support vector machines is a powerful learning algorithm and attempt to separate belonging to two given sets in N-dimensional real space by a nonlinear surface, often only implicitly dened by a kernel function. We described breast tissue images analyses using texture features from Haar wavelet transformed images to classify breast lesion of ductal organ Benign, DCIS and CA. The approach for creating a classifier is composed of 2 steps: feature extraction and classification. Therefore, in the feature extraction step, we extracted texture features from wavelet transformed images with $10{\times}$ magnification. In the classification step, we created four classifiers from each image of extracted features using SVM(Support Vector Machines). In this study, we conclude that the best classifier in histological sections of breast tissue in the texture features from second-level wavelet transformed images used in Polynomial function.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2012.05a
• /
• pp.916-919
• /
• 2012

Bioimaging that can be imaging phenomena within cells of a molecular size have been advanced in technology. We can observe clearly DNA and proteins using a confocal microscope. Currently biological fluorescent imaging area is used essentially for diagnosis and treatment in health and clinical care field. In this paper, we developed an integration management system of analyzing fluorescence images on smart phone. It can support a user to analyse fluorescence images anytime anywhere. And our system is based on client-server configuration and has functions that can figure intensity of fluorescence images and manage many imaging data. Proposed system can be a mean of ubiquitous health because it helps a doctor diagnose by analyzing fluorescence images of emergency patients without time and space restrictions.

• Proceedings of the IEEK Conference
• /
• 2005.11a
• /
• pp.391-394
• /
• 2005

In this paper, we present an approach that is able to reconstruct 3 dimensional metric models from un-calibrated images acquired by a freely moved camera system. If nothing is known of the calibration of either camera, nor the arrangement of one camera which respect to the other, then the projective reconstruction will have projective distortion which expressed by an arbitrary projective transformation. The distortion on the reconstruction is removed from projection to metric through self-calibration. The self-calibration requires no information about the camera matrices, or information about the scene geometry. Self-calibration is the process of determining internal camera parameters directly from multiply un-calibrated images. Self-calibration avoids the onerous task of calibrating cameras which needs to use special calibration objects. The root of the method is setting a uniquely fixed conic(absolute quadric) in 3D space. And it can make possible to figure out some way from the images. Once absolute quadric is identified, the metric geometry can be computed. We compared reconstruction image from calibrated images with the result by self-calibration method.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.2
• /
• pp.742-762
• /
• 2015

In this study, we propose a distance metric learning approach called discriminant metric learning (DML) for face verification, which addresses a binary-class problem for classifying whether or not two input images are of the same subject. The critical issue for solving this problem is determining the method to be used for measuring the distance between two images. Among various methods, the large margin nearest neighbor (LMNN) method is a state-of-the-art algorithm. However, to compensate the LMNN's entangled data distribution due to high levels of appearance variations in unconstrained environments, DML's goal is to penalize violations of the negative pair distance relationship, i.e., the images with different labels, while being integrated with LMNN to model the distance relation between positive pairs, i.e., the images with the same label. The likelihoods of the input images, estimated using DML and LMNN metrics, are then weighted and combined for further analysis. Additionally, rather than using the k-nearest neighbor (k-NN) classification mechanism, we propose a verification mechanism that measures the correlation of the class label distribution of neighbors to reduce the false negative rate of positive pairs. From the experimental results, we see that DML can modify the relation of negative pairs in the original LMNN space and compensate for LMNN's performance on faces with large variances, such as pose and expression.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
• /
• 2006.04a
• /
• pp.287-291
• /
• 2006

Currently application of high-resolution satellite imagery is expanding with development of high tech optical and space aviation technology. Although using 3 dimensional modeling technology in order to attain accurate terrain information using existing ground control points is the most dependable reference data, such means are unapplicable for certain area because of it's limited access. In this study, we have researched into ways to utilizing high resolution satellite images from IKONOS and Quickbird, and sub-meter class satellites images that will be utilized In the future such as Arirang images and PLEIADES images for unaccessible areas. For that purpose we have created accuracy verification and GCP files for existing ortho-imagery and digital elevation model. The results showed that accuracy of ortho-Imagery and digital elevation model was RMSE X:3.043m, Y:2.921m, Z:6.139m. Also, after ortho-rectifying IKONOS images using ground control points extracted from ortho imagery and digital elevation model the accuracy of the imagery was RMSE X:3.243m, Y:2.067m, Z:1.872m.

• The Transactions of the Korea Information Processing Society
• /
• v.7 no.6
• /
• pp.1834-1843
• /
• 2000

In this paper, we propose a modular neural network based classification method for handwritten numerals utilizing rotated and translated images of an input image. The whole numeral pattern space is divided into smaller spaces which overlap each other and form multiple clusters. On these multiple clusters, multiple multilayer perceptrons (MLP) neural networks, specialized in those clusters, are constructed. Thus, each MLP acts as an expert network on the corresponding cluster. An MLP is also used as a gating network functioning as a mediator among the multiple MLPs. In the learning phase, an input numeral image is dithered by tow geometric operations of translation and rotation so that new numeral images similar to original one are generated. In the recognition phase, we utilize not only input numeral image, but also nearly generated images through the rotation and the translation of the original image. Thus, multiple output values for those generated images were combined to make class decision by various combination methods. The experimental results confirm the validity of the proposed method.

• Journal of Broadcast Engineering
• /
• v.11 no.4 s.33
• /
• pp.507-520
• /
• 2006

In this paper, we propose an application of OpenGL functions for novel view synthesis from multi-view images and depth maps. While image based rendering has been meant to generate synthetic images by processing the camera view with a graphic engine, little has been known about how to apply the given images and depth information to the graphic engine and render the scene. This paper presents an efficient way of constructing a 3D space with camera parameters, reconstructing the 3D scene with color and depth images, and synthesizing virtual views in real-time as well as their depth images.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
• /
• 2004.11a
• /
• pp.275-279
• /
• 2004

This study was done to detect the topographic and terrain change of the vicinity of the west coast. To make the basic map of the change in topology and terrain, the mosaic images were made using the images from the satellite, which were given the geometric correction based on the GCP (Ground Control Point) and DEM (Digital Elenation Model) data. The accuracy of the images was examined by .empaling them with CCP through 1:25,000's digital map. After that, among the resultant images of the 1970s and 2000s, those of Sihwa, Hwaong and Ansan, the lands reclaimed by drainage were compared to observe the change in the area. From this study, the accuracy of the images of the west coast from satellite could be acquired and the change of the topology and terrain was detected effectively. From the results, it was known that, in case of the land the topological change was not so big due to the development in the reclaimed land or the bare land. In Sihwa, the size of the land was increased 180 $\textrm{km}^2$ and that of the seashore was decreased 110 km. in Hwaong the size was increased 50 $\textrm{km}^2$ and in Ansan the city space was increased 71 $\textrm{km}^2$ due to the formation of the industrial complex.