• Journal of Korean Academy of Nursing Administration
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• v.11 no.1
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• pp.59-66
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• 2005

Purpose: The purpose of this study was to identify the effects images about medical organizations and the quality of service on customer satisfaction of obs and gyn patients. Method: The subjects of this study were selected conveniently 220 women among obstetrics and gynecology outpatients( who visited H- doctor's office of the first medical organ, P- hospital of the second medical organization, Chospital of the third medical organization). The data were collected from August, 20th 2004 using structured questionaires which included modified form of SERVPERF and customer's satisfaction scale by oliver & swan(1989), and modified form of image scale by kang(1997). Results: Image of hospital(45.3%), visiting frequencies(9.3%), service provider (3.9%) and convenient use(1.2%) of the quality of medical service were significant predictors to explain customer's satisfaction. Conclusion: To increase customer's satisfaction of obs and gyn patients, it is required to developed strategies that improve image of hospital and the quality of service to service provider and convenient use of hospital.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.6
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• pp.43-54
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• 2005

This paper proposes a novel texture segmentation method using Bayesian image segmentation method and SOM(Self Organization feature Map). Multi-scale wavelet coefficients are used as the input of SOM, and likelihood and a posterior probability for observations are obtained from trained SOMs. Texture segmentation is performed by a posterior probability from trained SOMs and MAP(Maximum A Posterior) classification. And the result of texture segmentation is improved by context information. This proposed segmentation method shows better performance than segmentation method by HMT(Hidden Markov Tree) model. The texture segmentation results by SOM and multi-sclae Bayesian image segmentation technique called HMTseg also show better performance than by HMT and HMTseg.

• Proceedings of the KOSOMBE Conference
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• v.1991 no.11
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• pp.48-53
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• 1991

The discrete cosine transform (DCT)-based progressive and hierarchical coding schemes developed by the International Standardization Organization (ISO) Joint Photographic Experts Groups (JPEG) are implemented and evaluated for the application of medical image communication. For a series of head sections of magnetic resonance images, a compression ratio of about 10 is obtained by the algorithm without noticeable image degradation.

• International journal of advanced smart convergence
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• v.4 no.2
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• pp.84-93
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• 2015

This study is for the development of Cover Glass Grinding Processing System. This system is developed for manufacturing a mass product system grinding cover glasses with highly precise mechanism, and we improved resulted quality. In the development process, we developed a complete process technology through mechanical design, image processing technology, spindle control, mark identification algorithm etc. With this cover glass grinding development, we could developed process technology, image processing technology, organization mechanisms and control algorithms.

• The Korean Journal of Nuclear Medicine
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• v.37 no.1
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• pp.63-72
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• 2003

Functional MRI (fMRI) provides an indirect mapping of cerebral activity, based on the detection of the local blood flow and oxygenation changes following neuronal activity (Blood Oxygenation Level Dependent). fMRI allows us to study noninvasively the normal and pathological aspects of functional cortical organization. Each fMRI study compares two different states of activity. Echo-Planar Imaging is the technique that makes it possible to study the whole brain at a rapid pace. Activation maps are calculated from a statistical analysis of the local signal changes. fMRI is now becoming an essential tool in the neurofunctional evaluation of normal volunteers and many neurological patients as well as the reference method to image normal or pathologic functional brain organization.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.311-311
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• 2000

We propose a DP-based formulation for matching line patterns by defining a robust and stable geometric representation that is based on the conceptual organizations. Usually, the endpoint proximity and collinearity of image lines, as two main conceptual organization groups, are useful cues to match the model shape in the scene. As the endpoint proximity, we detect junctions from image lines. We then search for junction groups by using geometric constraint between the junctions. A junction chain similar to the model chain is searched in the scene, based on a local comparison. A Dynamic Programming-based search algorithm reduces the time complexity for the search of the model chain in the scene. Our system can find a reasonable matching, although there exist severely distorted objects in the scene. We demonstrate the feasibility of the DP-based matching method using both synthetic and real images.

• The KIPS Transactions:PartB
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• v.9B no.3
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• pp.327-336
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• 2002

Texture analysis is an important technique in many image understanding areas, such as perception of surface, object, shape and depth. But the previous works are intend to the issue of only texture segment, that is not capable of acquiring recognition information. No unsupervised method is basased on the recognition of texture in image. we propose a novel approach for efficient texture image analysis that uses unsupervised learning schemes for the texture recognition. The self-organization neural network for multiple texture image identification is based on block-based clustering and merging. The texture features used are the angle and magnitude in orientation-field that might be different from the sample textures. In order to show the performance of the proposed system, After we have attempted to build a various texture images. The final segmentation is achieved by using efficient edge detection algorithm applying to block-based dilation. The experimental results show that the performance of the system Is very successful.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.5
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• pp.757-772
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• 1993

This paper describes the knowledge extraction for image understanding in knowledge based system. The current set of low level processes operate on the numerical pixel arrays, to segment the image into region and to convert the image into directional image, and to calculate feature for these regions. The current set of intermedate level processes operate on the results of earlier knowledge source to build more complex representations of the data. We have grouped into thee categories : feature based classification, geometric token relation, perceptual organization and grouping.

• Proceedings of the Membrane Society of Korea Conference
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• 1995.04a
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• pp.16-20
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• 1995

The spontaneous self-organization of amphiphilic molecules into complex aggregates was undoubtedly an important factor in the emergence of life on earth. We study the parameters governing the self-organization of a simple amphiphilic model system using electron cryomicroscopy of ice-embedded specimens in combination with extensive data analysis. Different stable helices can be generated reproducibly by changing the parameters controlling the molecular aggregation process. The repeating units of the helical aggregates in the micrographs can be found by multivariate statistical image analysis techniques, and these two-dimensional projection images suffice for calculating the three-dimensional density distribution of the fibers. We present a typical structure consisting of a narrow stack of compartmented bilayers twisted into a left-handed helix. Our new techniques directly elucidate the three-dimensional structure of helical assemblies, and can complement or replace diffraction-based approaches.

• Journal of dental hygiene science
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• v.15 no.4
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• pp.457-464
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• 2015

The purpose of this study was to examine the relationship between image of dental hygienists and clinical practice satisfaction of dental hygiene students. The subjects in the study were 706 female students who majored in dental hygiene at randomly selected colleges, which were located in Daejeon, Ulsan, and North Chungcheong province. Data were gathered using structured questionnaires from October 20, 2014 to April 13, 2015. The major findings of the study were as follows: The average of satisfaction with clinical practice was 3.32, The average of image of dental hygienists was 3.55. As for clinical practice satisfaction by general and practice characteristics, there were statistically significant difference according to degree of satisfaction for major, as for image of dental hygienists, there were statistically significant difference according to grade, degree of satisfaction for major, number of clinical experience, practice organization and admission motive. The relationship of image of dental hygienists and clinical practice satisfaction was analyzed, and clinical practice satisfaction had a significant positive effect on image of dental hygienists. As a result of analyzing which variables affected image of dental hygienists, it's found that image of dental hygienists were under the influence of number of clinical experience, practice organization and clinical practice satisfaction. Clinical practice satisfaction influenced image of dental hygienists. Therefore, dental hygiene students are given a chance to have positive image through well-structured clinical practice.