• Korean Journal of Adult Nursing
• /
• v.15 no.2
• /
• pp.278-286
• /
• 2003

Purpose: This study was designed to analyze the correlation on body image, self-esteem and self-efficacy of Female Students in College. Method: The research population included convenience sample of 696 subjects composed of Female Students in College. Data collection was done from July, 2002 to October, 2002 using a written inquiry. The data were analyzed by using t-test, ANOVA and Pearson correlation coefficient. Result: The results of this study were as follows: 1. The relationship among body image, self-esteem and self-efficacy were found to have statistically significant positive correlations. 2. The difference of body image, self-esteem and self-efficacy according to the characteristics in subjects were found to have statistically significancy of grade, age, personality and degree of adaptation. The difference of body image according to the monthly income of the family was found to be statistically significant. Conclusion: There is a significant correlation between grade, age, personality, and monthly income. Further study needs to be done to validate this study and develop degrees of adaptation to improve body image, self-esteem and self-efficacy.

• Journal of Families and Better Life
• /
• v.27 no.4
• /
• pp.67-80
• /
• 2009

Most consumers prefer certain brand logos of cosmetics in accordance with their cognized brand image and self image. In other words, consumers select particular brands from various brands in the market based on their image. The purpose of this study is to find out which factors affect a consumer's attention of cosmetic brand logos. The brand logo that has an abstractive image, sign, and brand pursues the consumer who purchases the cosmetic product and image. The semistic analytic method of pierce was used. The major findings are as follow. 1) The image of the logo of a female consumer is a significant difference in the educational level variable. The result compares, according to marital status and educational level, the traditional characteristic from the logo of the image. 2) There is a significant difference in the logo type. It follows the educational level variable in female consumers. The result compares a preference by inserting a picture in the logo. A high preference appears based on age, marital status, occupation, and income. 3) There are significant differences in demographics school register with attitude of the logo. It follows the attitude that appeared about in age. Finally, when examining closely the effects between cosmetics' brand logo and logo's implications, there are significant differences in the income level, educational level, age, and marital status. The feminine consumer tends to prefer accordance between the cosmetics brand logo and the logo's implications.

• Journal of the Korean Society of Physical Medicine
• /
• v.7 no.4
• /
• pp.533-539
• /
• 2012

PURPOSE: The purpose of this study was to investigate the effect of pelvic floor muscle contraction with image feedback on Abdominal muscle thickness. METHODS: Twenty three adults participated in this study. Abdominal muscle thickness was measured by ultrasound in three condition(rest, pelvic floor muscle contraction, pelvic floor muscle contraction with image feedback). Subjects was contraction pelvic floor muscle by general method. And ultrasound(convex probe, 3.5MHz) was used to image feedback for selective pelvic floor muscle contraction. One-way ANOVA was used to compare abdominal muscle thickness in three condition. RESULTS: There was no significant difference in external oblique(p=.514) and internal oblique muscle(p=.250) thickness by three condition. There was significant difference in transverse abdominis thickness by three condition (Transverse abdominis thickness was highest while Pelvic floor muscle contraction than pelvic floor muscle contraction with image feedback and rest.)(p=.000). CONCLUSION: This study shows that pelvic floor muscle contraction with image feedback increase the thickness of transverse abdominis lesser than general pelvic floor muscle contraction.

• Journal of Korea Multimedia Society
• /
• v.20 no.11
• /
• pp.1741-1749
• /
• 2017

In commercial digital-cameras, color-filter filters light according to wavelength range of color filter array (CFA) and the filtered intensities contain color information of light. Then, output data of CFA is transformed to final rendered image through demosaicing process. In image processing of digital-camera, the quality of the final rendered image is affected by optical cross talk of CFA, kind of CFA pattern etc. Basically, pattern of CFA plays important role in image quality of final image rendered by digital-camera. Therefore, an evaluation system capable of quantitatively evaluating CFA is needed. This paper proposes a novel evaluation system using existing and proposed image metrics for evaluating CFAs of digital-camera. Proposed CFA evaluation system consist of color difference in CIELAB and S-CIELAB, Structure SImilarity (SSIM), MTF50, moire starting point (MSP), and subjective preference (SP). MSP and SP are newly designed for the proposed evaluation system. Proposed evaluation system is expressed in polar coordinates to analyze the characteristics of CFA objectively and intuitively. Through simulations, we confirmed that proposed CFA evaluation system can objectively assess performance of developed CFAs.

• 제어로봇시스템학회:학술대회논문집
• /
• 2003.10a
• /
• pp.681-686
• /
• 2003

In this paper, we propose an algorithm to extract valid planar regions from stereo images for visual navigation of mobile robots. The algorithm is based on the difference image between the stereo images obtained by applying Homography matrix between stereo cameras. Illegal planar regions are filtered out by the use of labeling of the difference images and filtering of invalid blobs using the size of each blob. Also, illegal large planar regions such as walls are removed by adopting a weighted low-pass filtering of the difference image using the past difference images. The algorithms are experimented successfully by the use of stereo camera system built in a mobile robot and a PC-based real-time vision system.

• Journal of the Korean Society of Costume
• /
• v.53 no.4
• /
• pp.1-16
• /
• 2003

The purpose of this study is to investigate the sensibility images of Korean Traditional Chumoni. The detailed methodology of this study is as follows. Selections of stimuli to analyse the sensibility images of Korean Traditional Chumoni were made up of 15 stimuli. The survey has been done for the 15 slide stimuli with semantic differential hi-polar scales which are consist of 23 couples of sensibility words. The subjects were 150 female students majoring in clothing and textile. 150 male students majoring in other department and 150 female students majoring in other department in the twenties between 2001. 3. 30 and 2001. 4. 4. The obtained data were analyzed by factor analysis, cluster analysis. ANOVA. The major finds were as follows. 1. To explain the hierarchy of the sensibility of Korean Traditional Chumoni, two image groups were classified, one is noble and characteristic image the other is splendid and intensive image. Finally it represented noble and splendid image. 2. As result of the factor analysis. 3 factors which are Attraction, Decorativeness, Gravity were found to be constructing factors for the sensibility images of Korean Traditional Chumoni. 3. By cluster analysis, 4 clusters were determined according to Korean Traditional Chumoni. Cluster 1 is splendid. multi-colored and realistic in patteren. Cluster 2 is consist of 'true chumonis' and one-colored. Cluster 3 is modal in pattern. Cluster 4 is simple without any decorations. As to the difference of image of Korean Traditional Chumoni, there were significant differences amang 3 factors by cluster Cluster 1 was found most attractive and grave. Cluster 2 was found most decorative. 4. As to the difference of image of Korean Traditional Chumoni, there were significant differences amang 3 factors by decoration. Gold foil was found most attractive and grave. Embroidery was found most decorative. 5. As to the difference of image of Korean traditional chumoni, there were differences in Decorativeness and Gravity by sex and there were differences in Attraction by major.

• Journal of the Institute of Convergence Signal Processing
• /
• v.12 no.4
• /
• pp.250-257
• /
• 2011

In this paper, we proposed the method detecting multiple pedestrians using motion information and SVM(Support Vector Machine) from a moving camera image. First, we detect moving pedestrians from both the difference image and the projection histogram which is compensated for the camera ego-motion using corresponding feature sets. The difference image is simple method but it is not detected motionless pedestrians. Thus, to fix up this problem, we detect motionless pedestrians using SVM The SVM works well particularly in binary classification problem such as pedestrian detection. However, it is not detected in case that the pedestrians are adjacent or they move arms and legs excessively in the image. Therefore, in this paper, we proposed the method detecting motionless and adjacent pedestrians as well as people who take excessive action in the image using motion information and SVM The experimental results on our various test video sequences demonstrated the high efficiency of our approach as it had shown an average detection ratio of 94% and False Positive of 2.8%.

• Journal of KIISE:Software and Applications
• /
• v.31 no.7
• /
• pp.911-921
• /
• 2004

Accurate minutiae extraction from input fingerprint images is one of the critical modules in robust automatic fingerprint identification system. However, the performance of a minutiae extraction is heavily dependent on the quality of the input fingerprint images. If the preprocessing is performed according to the fingerprint image characteristics in the image enhancement step, the system performance will be more robust. In this paper, we propose a knowledge-based preprocessing method, which extracts S features (the mean and variance of gray values, block directional difference, orientation change level, and ridge-valley thickness ratio) from the fingerprint images and analyzes image quality with Ward's clustering algorithm, and enhances the images with respect to oily/neutral/dry characteristics. Experimental results using NIST DB 4 and Inha University DB show that clustering algorithm distinguishes the image Quality characteristics well. In addition, the performance of the proposed method is assessed using quality index and block directional difference. The results indicate that the proposed method improves both the quality index and block directional difference.

• Journal of Korean society of Dental Hygiene
• /
• v.4 no.1
• /
• pp.81-91
• /
• 2004

The ultimate purpose of this study is to provide the basic data for effective intervention of the patients complaining of their aspects and themselves and to help dental hygienists of keep them remaining healthy effectively. The data was collected by questions from 269 people including the outpatients requiring regular care from dental clinic from December 10, 2003 to January 10, 2004. Secord & Jourard's apparatus which measures the degree of self-satisfaction to the body image and Rosenberg's equipment measuring the degree of self-respect were used for this study. The data were analysed using a computerized program named statistical package for social science including t-test, ANOVA and Pearson-correlation coefficient. The result's of this study were summarized as follows: 1. The body image and the sense of self-respect were decided by the various characters of the inquired person. Comparing the inquired person's body image in terms of general background, they showed a big difference in sociability(p=0.004), age(p=0.003), sex(p=0.043). However the experience accident any and the frequency of visiting dental clinic had little effect on deciding their body image. Comparing the self-respect. in terms of the general background, they showed a significant. difference in sociability(p=0.002), age(p=0.041), experience of any accident(p=0.012), whereas age, sex, religion, the frequency of having treatment didn't show any difference with them. 2. The relationship between the score of their body image and the sense of self-respect was positively correlated(r=0.391, p=0.000).

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.17 no.12
• /
• pp.2927-2936
• /
• 2013

In this paper, we propose a noise reduction and hole removal algorithm in order to improve the quality of depth images when they are used for creating 3D contents. In the proposed algorithm, the depth image and the corresponding color image are both used. First, an intensity image is generated by converting the RGB color space into the HSI color space. By estimating the difference of distance and depth between reference and neighbor pixels from the depth image and difference of intensity values from the color image, they are used to remove noise in the proposed algorithm. Then, the proposed hole filling method fills the detected holes with the difference of euclidean distance and intensity values between reference and neighbor pixels from the color image. Finally, we apply a parallel structure of GPGPU to the proposed algorithm to speed-up its processing time for real-time applications. The experimental results show that the proposed algorithm performs better than other conventional algorithms. Especially, the proposed algorithm is more effective in reducing edge blurring effect and removing noise and holes.