• 제어로봇시스템학회:학술대회논문집
• /
• 1997.10a
• /
• pp.1722-1725
• /
• 1997

This paper presents image analysis method using a Markov random field(MRF) model. Particulary, image esgmentation is to partition the given image into regions. This scheme is first segmented into regions, and the obtained domain knowledge is used to obtain the improved segmented image by a Markov random field model. The method is a maximum a posteriori(MAP) estimation with the MRF model and its associated Gibbs distribution. MAP estimation method is applied to capture the natural image by TMS320C80(MVP) and to realize the segmented image by a MRF model.

• Imaging Science in Dentistry
• /
• v.50 no.4
• /
• pp.339-346
• /
• 2020

Purpose: The purpose of this study was to evaluate the image quality, diagnostic efficacy, and radiation dose associated with the use of a cadmium telluride (CdTe) detector, compared to charge-coupled device (CCD) and complementary metal oxide semiconductor(CMOS) detectors. Materials and Methods: Lateral cephalographs of a phantom (type 1) composed of synthetic polymer filled with water and another phantom (type 2) composed of human skull macerated with polymer coating were obtained with CdTe, CCD, and CMOS detectors. Dosimeters placed on the type 2 phantom were used to measure radiation. Noise levels from each image were also measured. McNamara cephalometric analysis was conducted, the dentoskeletal configurations were assessed, and a subjective evaluation of image quality was conducted. Parametric data were compared via 1-way analysis of variance with the Tukey post-hoc test, with a significance level of 5%. Subjective image quality and dentoskeletal configuration were described qualitatively. Results: A statistically significant difference was found among the images obtained with the 3 detectors(P<0.05), with the lowest noise level observed among the images obtained with the CdTe detector and a higher subjective preference demonstrated for those images. For the cephalometric analyses, no significant difference (P>0.05) was observed, and perfect agreement was seen with regard to the classifications obtained from the images acquired using the 3 detectors. The radiation dose associated with the CMOS detector was higher than the doses associated with the CCD (P<0.05) and CdTe detectors(P<0.05). Conclusion: Considering the evaluated parameters, the CdTe detector is recommended for use in clinical practice.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.28 no.1
• /
• pp.101-112
• /
• 2022

Purpose: The purpose of this study was to investigate the association of faculty-student interaction, psychological well-being, and the image of nurses with nursing professionalism in the COVID-19 pandemic situation. Methods: The participants of the study were 243 nursing college students located in Daegu, Kyungpook. Data collection was performed between August 11 and 20, 2021. Data were analyzed with descriptive statistics, independent t-test, ANOVA, Pearson's correlation coefficient, and stepwise multiple regression using the IBM SPSS 21.0 program. Results: The multiple regression showed that nursing professionalism was associated with a positive image of nurses (β=.71, p<.001) and higher faculty-student interaction (β=.11, p=.023). Additionally, a negative impression about nurses during the COVID-19 pandemic was negatively associated with nursing professionalism (β=-.12, p=.003). The explanatory power of the factors was 67 percent of the total variances on nursing professionalism; however, psychological well-being was not an associated factor. Conclusion: This study suggested that, to improve nursing student's nursing professionalism in the COVID-19 pandemic situation, nursing colleges should systemize curricular and non-curricular programs to improve awareness of nurses' efforts and faculty-student interaction.

• Knowledge Management Research
• /
• v.14 no.2
• /
• pp.49-69
• /
• 2013

In this study, we examined how the psychological safety influence expected image outcomes(image gain, image risk) and how expected image outcomes impact one's involvement in creative work. And, we examined the relationship between creative work involvement and job performance. We also investigated mediating role of expected image outcomes between psychological safety and creative work involvement. Survey data was collected from 271 employees working in a South Korea. The results of structural equation modeling using LISREL 8.50 indicate that psychological safety was positively related to expected image gain, but not significantly related to expected image risk. The result also expected image gain was positively related to creative work involvement, contrary to prediction of hypothesis 2-2, expected image risk was positively associated with creative work involvement. In addition, creative work involvement has positive effect on job performance. Finally, the relationship of expected image outcomes about psychological safety and creative work involvement was mediated by expected image gain partially. We extended the literature and contributed better understanding of the creativity research by answering calls for further research on involvement in creative work rather then the outcome of the creative process.

• International conference on construction engineering and project management
• /
• 2022.06a
• /
• pp.912-919
• /
• 2022

The study is an image-based assessment that uses image processing techniques to determine the condition of concrete with surface cracks. The preparations of the dataset include resizing and image filtering to ensure statistical homogeneity and noise reduction. The image dataset is then segmented, making it more suited for extracting important features and easier to evaluate. The image is transformed into grayscale which removes the hue and saturation but retains the luminance. To create a clean edge map, the edge detection process is utilized to extract the major edge features of the image. The Otsu method is used to minimize intraclass variation between black and white pixels. Additionally, the median filter was employed to reduce noise while keeping the borders of the image. Image processing techniques are used to enhance the significant features of the concrete image, especially the defects. In this study, the tonal zones of the histogram and its properties are used to analyze the condition of the concrete. By examining the histogram, the viewer will be able to determine the information on the image through the number of pixels associated and each tonal characteristic on a graph. The features of the five tonal zones of the histogram which implies the qualities of the concrete image may be evaluated based on the quality of the contrast, brightness, highlights, shadow spikes, or the condition of the shadow region that corresponds to the foreground.

• Journal of Internet Computing and Services
• /
• v.11 no.6
• /
• pp.41-50
• /
• 2010

As time goes by, most of information escapes human being's memory even though he/she tries hard to remember the information. On the other hand, when a human being takes a look at an image, he/she recollects once forgotten past memories and relates a specific object in the photo with associated words, which trigger new memories. Beside, he/she feels the affection of that time by the recalled memory. Therefore, this paper proposes an augmented memory system that assists recollection of user's past memories by using the images in social network services and user's dictionary for associated words. In the proposed system, if a user selects an object in an image, words associated with the object is provided to the user. If the user selects one of the associated words, the proposed system offers the list of other images containing the object of the selected word. The repetition of the aforementioned process can make the user recollect his/her memory and stimulate his/her affection. It is expected that the proposed system will be useful for revitalizing social network services.

• The Korean Journal of Nuclear Medicine
• /
• v.17 no.1
• /
• pp.33-39
• /
• 1983

Sixty-nine patients with diffuse lung uptake of $^{99m}Tc-tin$ colloid were evaluated to determine the kinds of associated diseases, the incidence of associated liver scan abnormalities, and prognosis. The results were as follows: 1) Diseases associated with diffuse lung uptake included malignancies in 31 patients, infectious diseases in 19, chronic liver diseases in 14, and others in 5. It appeared that the marked degree of lung uptake was associated with severe diseases. 2) Thirty-one of the 69 patients(45%) had abnormal liver size, 43(62%) had space occupying lesions or nonhomogeneity in liver image, 37(54%) had splenomegaly and 45(65%) had increased splenic uptake. Increased bone marrow uptake was found in 48(70%) and renal uptake in 15(22%). As the degree of lung uptake increased, there was a statistically significant (p<0.05) tendency for the incidences of the abnormal liver image and renal uptake to increase. 3) Sixty-two of the 69 patients were followed up for one to 439 days(mean 44 days) after liver scanning. Eleven(18%) were dead, 10(16%) were aggravated, and 13(21%) were improved. Most of improved patients had infectious diseases. It appeared that diffuse lung uptake of $^{99m}Tc-Tn$ colloid was found in the various diseases including malignancies, infections, and chronic liver diseases, and that it was strongly associated with other liver scan abnormalities, but was not necessarily associated with a poor prognosis, particularly when underlying diseases were infections.

• Journal of the Korean Society for Industrial and Applied Mathematics
• /
• v.14 no.4
• /
• pp.201-210
• /
• 2010

We propose a new robust and accurate method for the numerical solution of medical image segmentation. The modified Allen-Cahn equation is used to model the boundaries of the image regions. Its numerical algorithm is based on operator splitting techniques. In the first step of the splitting scheme, we implicitly solve the heat equation with the variable diffusive coefficient and a source term. Then, in the second step, using a closed-form solution for the nonlinear equation, we get an analytic solution. We overcome the time step constraint associated with most numerical implementations of geometric active contours. We demonstrate performance of the proposed image segmentation algorithm on several artificial as well as real image examples.

• Journal of Korea Multimedia Society
• /
• v.20 no.10
• /
• pp.1619-1627
• /
• 2017

Image hashing has been successfully applied for the problems associated with the protection of intellectual property, management of large database and indexation of content. For a reliable hashing system, improving hash matching accuracy is crucial. In order to improve the hash matching performance, we propose an asymmetric hash matching method using the psychovisual threshold, which is the maximum amount of distortion that still allows the human visual system to identity an image. A performance evaluation over sets of image distortions shows that the proposed asymmetric matching method effectively improves the hash matching performance as compared with the conventional Hamming distance.

• International Journal of Advanced Culture Technology
• /
• v.6 no.4
• /
• pp.323-330
• /
• 2018

The growth of the older population is expected to further increase social problems associated with population aging, such as isolation, poverty, and depression. The emerging issues associated with the older population are also expected to provide further momentum on studies about the dwelling environment as factors that ensure the health of older people as well as improve their quality of life. Therefore, approaches for explaining the issues of the older age group should be diversified using a variety of factors and appropriate analytic tools. Studies on measuring depression have principally focused on assessing an objective self-report questionnaire, usually in a highly structured, textual form which may not reflect the cognitive impairment of older adults. The aim of this study was to define and measure dwelling depression among older adults in Korea. There are two specific hypotheses in this study as follows: (a) there will be statistically significant relationships with dwelling dissatisfaction and depression, and (b) dwelling depression tools containing text and images will be, respectively, assessment tools that have a good construct with content validity and reliability. In the first experiment, to define and measure dwelling depression, 301 people over 65 years old living in single and two-person households were surveyed using a text-based dwelling depression questionnaires from September 1-30, 2017. In the second experiment, to examine whether the projective image questionnaire could serve as a suitable replacement for the text-based questionnaires, the same participants were surveyed from January 22 to February 2, 2018. The results show that depression has a close correlation with dwelling dissatisfaction. In addition, the geriatric dwelling depression index (GDDI) based on the projective image was refined. Additionally, the projective image questionnaire has a close correlation with the text-based questionnaire. Finally, through ROC curve analysis, it was found that the projective image questionnaire can accurately predict a depression group. To this end, this preliminary study examined the validity of the projective image questionnaire in older adults to make this instrument feasible for older populations and to contribute to a profound understanding of geriatric depression due to the living environment. We hope they will provide a basis for further research on psychological diagnoses using projective images.