• Journal of the Korea Fashion and Costume Design Association
• /
• v.9 no.3
• /
• pp.115-132
• /
• 2007

The purpose of this research is that to study of musical performer's purchasing behavior, satisfaction and design preference, and to give the information for better performance costume market based on that result. The target for the survey is limited only for above 4th grade female students and have experienced more than three times of performances. Total 364 questionnaires are used for this research. The SPSS was used for the analysis. The results were, first, in the survey of place of purchasing, specialty shop for musical performance shop was the most. The most group for the budget that they spent was under 100,000 Won. Rational price for costume would be 150,000-300,000 Won. Most people purchase costume before 2 weeks and compare 3-4 stores mostly. There were not many complaints about being comfort for costume itself. The preference for costume was different depends on not only scale of performance but also whether solo, duet or trio or more. Also harmony with other person costume was most consideration factor when they perform duet or more. For the choice of shop factor following were considered the most important; various selections, kindness of sales persons and possibility for trying various costumes. However, locations of shop or delivery service were not important relatively. For the choice of costume factor, design color, comfort and functionality were considered the most important but price, quality and decoration were not. For 'the satisfaction after purchase costume' factor, people's opinions, best appearance on the stage and meeting image with themselves were considered the most important. Second, on the subject for 'design preference of costume based on type of performance', people chose different color of dress depends on what types of performance. In case of solo, they prefer vivid primary color; in case of trio or more, they prefer black; in case of duet, they prefer pastel tone. As for preference of sleeve design, all of them prefer non-sleeve type.

• The Journal of Korean Medicine
• /
• v.34 no.1
• /
• pp.52-68
• /
• 2013

Objectives: Hyungsang medicine (HM) is an inspection which emphasizes the relationships between pathological patterns and one's facial or bodily shape, color and movement. The purpose of this study was to review previously published study results of the HM. Methods: The authors reviewed a total of 51 HM-related studies published from 2000 to 2012 found on PubMed and various domestic Oriental medicine journals. Each study was classified into theoretical, diagnostic, or treatment-related category. Results: Theoretical studies were mostly based on the Nei-Ching and Dong-Eui-Bo-Gam texts, and dealt with differences in form between types such as masculine and feminine, the five organ image types, the four-type categorization of body essence, vital energy (Qi), mentality, and Blood, Gallbladder and Bladder, the four-type categorization of fish, bird, horse, and turtle types, and the six meridian types. Research on diagnosis has been performed on diagnostic characteristics of HM, correlation between HM and general coordinative manipulation (GCM), and Hyungsang medicine and ante-disease pattern (未病類型). Studies on treatments could largely be classified as treatments for specific diseases using certain acupuncture or herbal prescriptions based on HM. Treatments were mostly evaluated solely through subjective symptom improvement of patients. Conclusions: Our review results suggest that HM-related studies were focused on the constitutional characteristics and clinical utility of HM. To strengthen the theoretical basis of HM and its clinical utility, clinical trials including randomized, treatment-placebo and blind methods are needed.

• Korean Journal of Remote Sensing
• /
• v.15 no.2
• /
• pp.131-146
• /
• 1999

The satellite visible data have been successfully applied to study the ocean color. Another ocean color sensor, the Ocean Scanning Multi-spectral Imager (OSMI) on the Korea Multi-Purpose Satellite (KOMPSAT) will be launched in 1999. In order to understand the characteristics of future OSMI images, we have first discussed the simulation models and procedures in detail, and produced typical patterns of radiances at visible bands by using radiative transfer models. The various simulated images of full satellite passes and Korean local areas for different seasons, water types, and the satellite crossing equator time (CET) are presented to illustrate the distribution of each component of radiance (i.e., aerosol scattering, Rayleigh scattering, sun glitter, water-leaving radiance, and total radiance). A method to evaluate the image quality and availability is then developed by using the characteristics of image defined as the Complex Signal Noise Ratio (CSNR). Meanwhile, a series of CSNR images are generated from the simulated radiance components for different cases, which can be used to evaluate the quality and availability of OSMI images before the KOMPSAT will be placed in orbit. Finally, the quality and availability of OSMI images are quantitatively analyzed by the simulated CSNR image. It is hoped that the results would be useful to all scientists who are in charge of OSMI mission and to those who plan to use the data from OSMI.

• Food Science and Preservation
• /
• v.30 no.4
• /
• pp.630-641
• /
• 2023

The quality characteristics of muffins with different types of rice flour, such as soft flour (CON), soft rice flour (SRF), floury rice flour (FRF), and rice flour (RF) were assessed by using Image J program, which includes their particle size analysis, moisture content, pH, color, specific volume, baking loss rate, texture. (D[4, 3]) is weighted mean diameter, which is directly obtained in particle size measurements showed large values in the order of rice flour, floury rice flour, soft rice flour, and soft flour. The moisture content was high in the CON and SRF groups with small particle sizes. There was no significant difference in pH, L and b value. The a value was significantly low only in the RF group with large particle size. The smaller the particle size, the higher the specific volume and baking loss rate. Image J showed that the number of pores decreased when fewer smaller particles were the powder, but the pores were larger. Among the rice flours, the SRF group, excluding the CON group, scored high in all the acceptability elements. The results from this study can be used as basic data that can contribute to research on various rice-processed foods.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.19 no.12
• /
• pp.2949-2955
• /
• 2015

Recently, with the sharp increase of digital visual media such as photographs, animations, and digital videos, it has been necessary to generate mosaic blocks in a static or dynamic image intentionally or unintentionally. In this paper, we suggest a new method for detecting mosaic blocks contained in a color image using boundary features. The suggested method first extracts Canny edges in the image and finds candidate mosaic blocks with the boundary features of mosaic blocks. The method then determines real mosaic blocks after filtering out non-mosaic blocks using geometric features like size and elongatedness features. Experimental results show that the proposed method can detect mosaic blocks robustly rather than other methods in various types of input images.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.6
• /
• pp.2230-2250
• /
• 2015

Multiple projectors with partially overlapping regions can be used to project a seamless image on a large projection surface. With the advent of high-resolution photography, such systems are gaining popularity. Experts set up such projection systems by subjectively identifying the types of errors induced by the system in the projected images and rectifying them by optimizing (correcting) the parameters associated with the system. This requires substantial time and effort, thus making it difficult to set up such systems. Moreover, comparing the performance of different multi-projector display (MPD) systems becomes difficult because of the subjective nature of evaluation. In this work, we present a framework to quantitatively determine the quality of an MPD system and any image projected using such a system. We have divided the quality assessment into geometric and photometric qualities. For geometric quality assessment, we use Feature Similarity Index (FSIM) and distance-based Scale Invariant Feature Transform (SIFT). For photometric quality assessment, we propose to use a measure incorporating Spectral Angle Mapper (SAM), Intensity Magnitude Ratio (IMR) and Perceptual Color Difference (ΔE). We have tested the proposed framework and demonstrated that it provides an acceptable method for both quantitative evaluation of MPD systems and estimation of the perceptual quality of any image projected by them.

• Journal of Korea Multimedia Society
• /
• v.23 no.4
• /
• pp.539-548
• /
• 2020

Deep learning technology is currently being used and applied in many different fields. Convolution neural network (CNN) is a method of artificial neural networks in deep learning, which is commonly used for analyzing different types of images through classification. In the conventional classification of histopathology images of prostate carcinomas, the rating of cancer is classified by human subjective observation. However, this approach has produced to some misdiagnosing of cancer grading. To solve this problem, CNN based classification method is proposed in this paper, to train the histological images and classify the prostate cancer grading into two classes of the benign and malignant. The CNN architecture used in this paper is based on the VGG models, which is specialized for image classification. However, color normalization was performed based on the contrast enhancement technique, and the normalized images were used for CNN training, to compare the classification results of both original and normalized images. In all cases, accuracy was over 90%, accuracy of the original was 96%, accuracy of other cases was higher, and loss was the lowest with 9%.

• Journal of Digital Convergence
• /
• v.15 no.3
• /
• pp.307-312
• /
• 2017

The purpose of this paper is to develop a new type of RGB lighting pipeline that can save time in animation production. After identifying the problems of the current method, the researchers studied 8 steps through new methods and comparative analysis. A method of implementing a graphic image lighting effect by the RGB lighting pipeline according to the current method is to create a render layer for each light set and a set of digital light separated by texture, Three types of written information can be stored in one layer and graphic image, and the accuracy and precision of color correction can be improved. Through this study, we propose the new and improved RGB lighting pipeline according to the characteristics of the work and the industries.

• The Research Journal of the Costume Culture
• /
• v.19 no.5
• /
• pp.981-992
• /
• 2011

The objectives of this study were to analyze the design elements of hairstyles, wedding headdresses, and necklines in wedding magazine pictures by using content analysis method and to investigate the differences in image perception according to hairstyle, wedding headdress, and neckline. A quasi-experimental method by questionnaire was used. The experimental design was a $2{\times}5{\times}4$(hairstyles${\times}$wedding headdresses${\times}$necklines) factorial design by 3 independent variables. The subjects consisted of 378 female college students. The results are as follow. First, the most popular among hairstyles, headdresses, and neckline forms were the updo hairstyle, dark brown hair color, the crown headdress, white flowers, and the horizontal bared top. Second, the elements determined to be most elegant and attractive were the medium-up hairstyle and the crown with a veil. However the wedding hat was perceived to be high in individuality and tenderness, while the flower and the wedding hat were perceived to be very pretty. The halter neckline was perceived to be higher in individuality and attractiveness than the other neckline types. Third, the medium-up hairstyle when wearing a crown with veil was perceived to be the most elegant. Placing a flower in the long-wave hairstyle was evaluated as looking most pretty. Fourth, the medium-up hairstyle was higher in preference than the long-wave style. Among wedding headdresses, there was greatest preference for a crown.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.4
• /
• pp.47-57
• /
• 2009

Event detection and recognition is an active and challenging topic recent in Computer Vision. This paper describes a new method for recognizing events caused by human motion from video sequences in an office environment. The proposed approach analyzes human motions using Motion History Image (MHI) sequences, and is invariant to body shapes. types or colors of clothes and positions of target objects. The proposed method has two advantages; one is thant the proposed method is less sensitive to illumination changes comparing with the method using color information of objects of interest, and the other is scale invariance comparing with the method using a prior knowledge like appearances or shapes of objects of interest. Combined with edge detection, geometrical characteristics of the human shape in the MHI sequences are considered as the features. An advantage of the proposed method is that the event detection framework is easy to extend by inserting the descriptions of events. In addition, the proposed method is the core technology for event detection systems based on context-aware computing as well as surveillance systems based on computer vision techniques.