• Imaging Science in Dentistry
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• v.44 no.1
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• pp.31-35
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• 2014

Purpose: This study was performed to investigate the effect of image enhancement of periapical radiographs according to the diagnostic task. Materials and Methods: Eighty digital intraoral radiographs were obtained from patients and classified into four groups according to the diagnostic tasks of dental caries, periodontal diseases, periapical lesions, and endodontic files. All images were enhanced differently by using five processing techniques. Three radiologists blindly compared the subjective image quality of the original images and the processed images using a 5-point scale. Results: There were significant differences between the image quality of the processed images and that of the original images (P< 0.01) in all the diagnostic task groups. Processing techniques showed significantly different efficacy according to the diagnostic task (P< 0.01). Conclusion: Image enhancement affects the image quality differently depending on the diagnostic task. And the use of optimal parameters is important for each diagnostic task.

• Proceedings of the KIEE Conference
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• 2002.07c
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• pp.1640-1643
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• 2002

Image sticking, the phenomenon that the previously displayed pattern still remains after the image is changed into different image, is one of the most serious problem in realizing high picture quality. In this paper, we tried characterizing this undesirable feature in terms of the luminance and the intial firing voltage at ramp up time in reset period. It was found that the cell located at the boundary of previous image pattern show low firing voltage and high background luminance. And the results show that the degree of the image sticking is severely affected by discharge duration and the length of the sustain period.

• International journal of advanced smart convergence
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• v.12 no.2
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• pp.127-134
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• 2023

Existing studies on this topic have focused on the effect of online content quality on consumer attitudes and behavior, with very few illustrating the effect of influencer image on consumer attitudes and behavior. The purpose of this study intents to reveal how influencer image affect consumer behavior. We have developed an image transfer theory-based research model to reveal how influencers transfer their image to endorsed products to influence consumer behavior. The results show that influencer image positively affects satisfaction, which in turn affects the product's cognitive and affective images in the vlog. Moreover, it was found that a product's cognitive image and affective image influence consumer behavior intention. Furthermore, purchase experience exhibits significant differences in its path. Based on these results, the social media-related research theoretical implication will be offered, and managerial implications will be provided for foreign brand promotion strategies

• Korean Journal of Health Education and Promotion
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• v.19 no.4
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• pp.33-44
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• 2002

This study was conducted to investigate the relationship between an eating disorder, body image, depression and self-esteem amongst a subject group of 282 college women between Jan.,1st and 30th,2002, to provide base data for eating disorder levels of college women and to provide base data for health control. The evaluative instrument was a constructive questionnaire that consisted of 8 items of general characteristics and weight control questions, 24 questions relating to eating disorders, 17 questions pertaining to body image, 10 questions pertaining to depression and 10 questions pertaining to self-esteem. To identify the levels of an eating disorder, body image, depression and self-esteem perceived by subjects, the researcher used means and SDs. To test the significance of a subject's eating disorder, body image, depression and self-esteem according to the BMI, the researcher used the t-test. To test the correlation between the BMI, an eating disorder, body image, depression and self-esteem, the researcher used Pearson correlation coefficient. The results of this study are as follows. The mean score for anorexia nervosa was 31.52 and the mean score for bulimia nervosa was 24.12. Differences between the underweight group and the normal weight group in the level of eating disorders were significant (t=-6.94, p=.000). There were high positive correlations between the BMI and an eating disorder (r=.383, p<.01), between an eating disorder and depression (r=.161, p<.01), between body image and self-esteem (r=.653, p<.01). In addition, there were high negative correlations between an eating disorder and body image (r=-.214, p<01), between an eating disorder and self-esteem (r=-.196, p<.01), between depression and body image (r=-.541, p<.01), and between depression and self-esteem (r=-.537, p<.01). These results indicate that Korean college women need more education and counseling on dietary habits. Also, the systemic efforts reestablish the social standard of the beauty should be taken. Further empirical and experimental studies would be required for investigating for the factors influencing the eating attitude of the college women and discriminating the variables affecting the various specific dimensions of the eating attitude.

• Journal of the Korean Home Economics Association
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• v.47 no.6
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• pp.67-77
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• 2009

The purpose of this study is to examine the effect of social self and body image on the appearance management behavior. The data were collected via a self-administered questionnaire from 419 male and female college students in Jecheon and analyzed by factor analysis, cluster analysis, t-test, regression and correlation. The results of this study were as follows : 1. Body image classified into four factors- emotional, cognitive, behavioral body image and interest in weight. 2. There existed correlation between social self and body image. According to gender, there existed significant differences in social self, body image and appearance management behavior. 3. College students classified into two groups- high and low social self group according to the degree of social self. Two groups showed statistically significant differences in body image and appearance management behavior. 4. In male and female groups, social self and body image influenced to the various appearance management behavior according to gender. The most important appearance management behavior which was affected by social self and body image was diet.

• The Research Journal of the Costume Culture
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• v.14 no.4
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• pp.635-646
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• 2006

The purpose of this study was to determine if personality types affect hair style and clothing image. Personality types was applied using Myers-Briggs Type Indicator(MBTI). Subjects were 101 students at Keimyung University in Daegu, Korea. Data analysis was performed using SPSS package, which included ANOVA, t-test and ${\chi}^2-test$. The results were summarized as follows. 1. There was only significant relationship between hair style and personality type. Sensing type preferred hair wave style than intuition type. 2. There were several significant differences between clothing image and personality type. Extroversion preferred avantgarde clothing image more than introversion type. Intuition type preferred exotic and avantgarde clothing image more than sensing type. Feeling type preferred active clothing image more than thinking type. Judging type preferred elegance clothing image more than perceiving type. 3. There was significant relationship between hair style and clothing image preference by personality types in college students. Intuition type preferred exotic and avantgarde clothing image and waveless hair style.

• Journal of Technologic Dentistry
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• v.32 no.2
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• pp.91-102
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• 2010

Purpose : The purpose of study was 500 people who are not related to dentistry in order to survey image about dental technicians. Methods : The subjects were composed of 500 people who are not related in Daegu Metropolitan city. This study was done using the Statistical Package for Social Sciences 17.0 for Windows. As for the analysis methods, the study used the frequency analysis, percentage, mean, t-test, analysis of variance. Results : The score on the image of dental technicians declined in the order of occupational image(2.98), work image(3.14), personal image(3.26), social image(2.87). 'It is hard and stressful' in the occupational image had the highest score with 3.69, 'Dentist and companionship are strong' in the occupational image had the lowest score with 2.21. 'It need expert knowledge and a skilled technology' in the work image had the highest score with 3.69, 'Health medical treatment side of health technique is occupation.' in the work image had the lowest score with 3.69. 'It always work busily' in the personal image had the highest score with 3.69, 'It is value and is effect work.' in the personal image had the lowest score with 3.69. 'An employment is easy after license acquisition.' in the social image had the highest score with 3.69, 'It admit independence' in the social image had the lowest score with 3.69. Conclusion : Dental technition research in order to image improvement and recognition, as the medical professional must construct the desirable dental technition image and recognition.

• Journal of Biomedical Engineering Research
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• v.28 no.2
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• pp.199-204
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• 2007

In digital radiography, to improve the contrast of digital radiography image, the multi-scale nonlinear amplification algorithm based on unsharp masking is one of the major image enhancement algorithms. In this paper, we used the Laplacian pyramid to decompose a digital radiography(DR) image. In our simulation, the DR image was decomposed into seven layers and the coefficients of the each layer was amplified with nonlinear function. We also imported a noise containment algorithm to limit noise amplification. To enhance the contrast of image, we proposed a new adaptive non-linear gain amplification coefficients. As a result of having applied to some clinical data, a detail visibility was improved significantly without unacceptable noise boosting. Images that acquired with the proposed adaptive non-linear gain coefficients have shown superior quality to those that applied similar gain control method and expected to be accepted in the clinical applications.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.9
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• pp.4405-4418
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• 2016

Automatic image completion techniques have difficulty processing images in which the target region has multiple planes or is non-facade. Here, we propose a new image completion method that uses belief propagation based on planar priorities. We first calculate planar information, which includes planar projection parameters, plane segments, and repetitive regularity extractions within the plane. Next, we convert this planar information into planar guide knowledge using the prior probabilities of patch transforms and offsets. Using the energy of the discrete Markov Random Field (MRF), we then define an objective function for image completion that uses the planar guide knowledge. Finally, in order to effectively optimize the MRF, we propose a new optimization scheme, termed Planar Priority-belief propagation that includes message-scheduling-based planar priority and dynamic label cropping. The results of experiment show that our approach exhibits advanced performance compared with existing approaches.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.1
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• pp.308-320
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• 2016

Although the face almost always has an axisymmetric structure, it is generally not symmetrical image for the face image. However, the mirror image of the face image can reflect possible variation of the poses and illumination opposite to that of the original face image. A robust minimum squared error classification (RMSEC) algorithm is proposed in this paper. Concretely speaking, the original training samples and the mirror images of the original samples are taken to form a new training set, and the generated training set is used to perform the modified minimum sqreared error classification(MMSEC) algorithm. The extensive experiments show that the accuracy rate of the proposed RMSEC is greatly increased, and the the proposed RMSEC is not sensitive to the variations of the parameters.