• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.2
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• pp.45-55
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• 1994

In this paper, a block based image approximation technique using the Self Affine System(SAS) from the fractal theory is suggested. Each block of an image is divided into 4 tiles and 4 affine mapping coefficients are found for each tile. To find the affine mapping cefficients that minimize the error between the affine transformed image block and the reconstructed image block, the matrix euation is solved by setting each partial differential coefficients to aero. And to ensure the convergence of coding block. 4 uniformly partitioned affine transformation is applied. Variable block size technique is employed in order to applynatural image reconstruction property of fractal image coding. Large blocks are used for encoding smooth backgrounds to yield high compression efficiency and texture and edge blocks are divided into smaller blocks to preserve the block detail. Affine mapping coefficinets are found for each block having 16$\times$16, 8$\times$8 or 4$\times$4 size. Each block is classified as shade, texture or edge. Average gray level is transmitted for shade bolcks, and coefficients are found for texture and edge blocks. Coefficients are quantized and only 16 bytes per block are transmitted. Using the proposed algorithm, the computational load increases linearly in proportion to image size. PSNR of 31.58dB is obtained as the result using 512$\times$512, 8 bits per pixel Lena image.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.8
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• pp.1273-1285
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• 2007

The purpose of this study is to understand consumer emotion about T-shirts web pages and to provide the basis for effective design plan of them. 72 T-shirts web pages through 62 sites have been chosen as stimulus pictures, and the valuation tools are composed of 21 pairs of image adjective and 3 questions for valuation of consumption emotion. Data has been collected on subjects of 480 men and women at the age of $16{\sim}27$ who live in Busan. The image factors are Aestheticism, Activeness, Stability, Intimacy. The types of T-shirts web pages are classified into four groups. The image according to the type of T-shirts web pages has showed meaningful differences in all factors, and the differences of image factors according to design elements have been meaningfully presented. In the relation between consumption emotion and image of T-shirts web pages, Impulse needs, Buying needs, Recommendation needs are related to Aestheticism factor and Stability factor. The consumption emotion according to the type of T-shirts web pages is appeared high in the type 2(Refine image) and 3(Vivid image). The valuation of consumption emotion according design elements has presented meaningful differences all design elements except menu.

• The Research Journal of the Costume Culture
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• v.18 no.5
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• pp.857-871
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• 2010

As the selective role model for the public and the creators of fashion style, the characters of homme fatale image presented in the Korean 'trendy' teleplays have significant influence on the audience. In this study, the concept of homme fatale, is defined, and the inherent meaning of this recent coinage(homme fatale) and the characteristics of the image are discussed. And then, the fashion styles classified into homme fatale image are exhaustively analyzed to find out the recent trends of men's fashion which represent the new masculine image and its meaning. According to the result of this analysis, the fashion styles of homme fatale image, which expresses the new image reflecting the traits of contemporary men, can be subdivided into traditional classic style, modern dandy style, easy casual style, and glam sexy style. Traditional classic style represents perfect masculine image with its dignity and formality, while modern dandy style expresses the modern, urban, elegant, and refined images. Easy casual style emphasizes the active and liberal image of men, and the glam sexy style tries to stress the sexual attractiveness of men. These fashion styles are important elements which express not only the characteristics, the social status, the jobs but also the psychology of the characters, and they present the various fashion styles expressing the masculine sexuality.

• Korean Journal of Human Ecology
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• v.16 no.5
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• pp.1007-1019
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• 2007

The purpose of this study is to investigate the effect of achromatic shirt and chromatic tie combination on image of menswear. This experiment was designed by shirt color(N9, N7, N4, N2), tie color(red, orange, yellow, green, blue, purple), tie tone(vivid, light, dull, dark), and perceiver gender(a male, a female). The experimental materials developed for this study were a set of stimulus and response scales. The stimuli were 96 upper body photographs and 26 7-point bi-polar adjectives were used to evaluate the image. The subjects of this research were 480 male and 480 female college students. The data was analyzed by using SPSS program. Analysis methods were four-way ANOVA. The items of the adjectives were classified into 4 image factor: potency, activity, attractiveness, and visibility. Shirt color, tie color, tie tone influenced on the 4 image dimension greatly by interaction as well as independently. Dull or dark tone tie had an effect on the formation of potency image. And white color shirt, vivid or light tone tie had an effect on the formation of activity image. White or black shirt had a positive effect on attractiveness, and black shirt or vivid tone tie was effective for visible image.

• Journal of Platform Technology
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• v.6 no.4
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• pp.26-33
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• 2018

In this paper, we propose an image retrieval algorithm for real-time processing and design it as hardware. The proposed method is based on the classification of BoWs(Bag of Words) algorithm and proposes an image search algorithm using bit stream. K-fold cross validation is used for the verification of the algorithm. Data is classified into seven classes, each class has seven images and a total of 49 images are tested. The test has two kinds of accuracy measurement and speed measurement. The accuracy of the image classification was 86.2% for the BoWs algorithm and 83.7% the proposed hardware-accelerated software implementation algorithm, and the BoWs algorithm was 2.5% higher. The image retrieval processing speed of BoWs is 7.89s and our algorithm is 1.55s. Our algorithm is 5.09 times faster than BoWs algorithm. The algorithm is largely divided into software and hardware parts. In the software structure, C-language is used. The Scale Invariant Feature Transform algorithm is used to extract feature points that are invariant to size and rotation from the image. Bit streams are generated from the extracted feature point. In the hardware architecture, the proposed image retrieval algorithm is written in Verilog HDL and designed and verified by FPGA and Design Compiler. The generated bit streams are stored, the clustering step is performed, and a searcher image databases or an input image databases are generated and matched. Using the proposed algorithm, we can improve convenience and satisfaction of the user in terms of speed if we search using database matching method which represents each object.

• Journal of Digital Contents Society
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• v.1 no.1
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• pp.53-64
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• 2000

This paper is related to color image segmentation scheme which makes it possible to achieve the excellent segmented results by block-based segmentation using Y/C bit-plane summation image. First, normalized chrominance summation image is obtained by normalizing the image which is summed up the absolutes of color-differential values between R, G, B images. Secondly, upper 2 bits of the luminance image and upper 6bits of and the normalized chrominance summation image are bitwise operated by the pixel to generate the Y/C bit-plane summation image. Next, the Y/C bit-plane summation image divided into predetermined block size, is classified into monotone blocks, texture blocks and edge blocks, and then each classified block is merged to the regions including one more blocks in the individual block type, and each region is selectively allocated to unique marker according to predetermined marker allocation rules. Finally, fine segmented results are obtained by applying the watershed algorithm to each pixel in the unmarked blocks. As shown in computer simulation, the main advantage of the proposed method is that it suppresses the over-segmentation in the texture regions and reduces computational load. Furthermore, it is able to apply global parameters to various images with different pixel distribution properties because they are nonsensitive for pixel distribution. Especially, the proposed method offers reasonable segmentation results in edge areas with lower contrast owing to the regional characteristics of the color components reflected in the Y/C bit-plane summation image.

• Journal of Korean Academy of Nursing
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• v.15 no.3
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• pp.74-80
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• 1985

This study was attempted to identify the difference between body image of the patients with lower limb fracture and that of normal persons, and to examine if supportive group care could offer an apportunity for positive change in body image of the patient with lower limb fracture under the Quasi-experimental design. The subjects for this study were obtained by ta-king convenient sample of soldiers; the experimental group were 44 lower limb fractured patients hospitalized on the orthopedic Surgery unit in S Army General Hospital, while the control group were 44 normal enlisted men serving in the B Army regiment. Supportive group nursing care was given to the lower limb fractured patients who belong to the experimental group. Pre-and post-tests were administered to the experimental and the control group. The instruments to measure body image of the subjects were body Cathexis Scale developed by Scord and Jourard (1953) and Body Meaning Scale dove-loped by the reseacher. The reliability coefficients by Cronhach's u-test were .95 in body Cathexis Scale and .89 in Body Meaning Scale in this study. Data for this study were collected over a period 12 days from the 12th to the 24th of October, 1984 by the questionnaire. Data were analyzed by computer. Frequency, Percentage and x²-test were used to examine general chacteristics of the subjects. t-test was used to analyze the hypotheses. Analysis of variance was used to test difference in body image between groups classified by the general characteristics. Pearson Correlation Coefficient was used to identify the correlation between Body Cathexis Scale and Body Cathexis Scale and Body Meaning Scale. The results of this study were as follows: 1. No significant difference was found between the experimental and the control group on general characteristics of the subjects (p> .05). 2. Hypothesis I:“There will be a difference in body image between patiens with lower limb fracture and normal persons,”was supported(Body Cathexis t=6.91, p<.001, Body Meaning t=5.66, p< .001). 3. Hypothesis Ⅱ;“The will be a difference in body image of patients with lower limb fracture bet-ween after and before, supportive group nursing care was provided,”was supported (Body Cathexis t=5.90, p<.001, Body Meaning t=4.45, p <.001). 4. There was no significant difference in body image between groups classified by the general characteristics (p> .05). 5. The correlation between Body Cathexis Scale and Body Meaning Scale: It was reported that Body Cathexis Scale correlated with Body Meaning Scale in total subjects of the experimental and control group (r=.744, p<.001). That is, there was relatively high correlation between two scales. body Cathexis Scale correlated with Body Meaning Scale in the experimental group(r=.738, p <.001) and in the control group (r=.352, p <.001). That is, there was more than moderate correlation between two scales. In conclusion, it was found that there was a difference in body image between patients with lower limb fracture and normal persons, and supportive group nursing care offered an opportunity for positive change in body image of the patient with lower limb fracture.

• Journal of Internet Computing and Services
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• v.12 no.6
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• pp.117-128
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• 2011

In this paper, we present a novel approach for contents-based medication image retrieval from a medication image database using the shape classification and color information of the medication. One major problem in developing a contents-based drug image retrieval system is there are too many similar images in shape and color and it makes difficult to identify any specific medication by a single feature of the drug image. To resolve such difficulty in identifying images, we propose a hybrid approach to retrieve a medication image based on shape and color features of the medication. In the first phase of the proposed method we classify the medications by shape of the images. In the second phase, we identify them by color matching between a query image and preclassified images in the first phase. For the shape classification, the shape signature, which is unique shape descriptor of the medication, is extracted from the boundary of the medication. Once images are classified by the shape signature, Hue and Saturation(HS) color model is used to retrieve a most similarly matched medication image from the classified database images with the query image. The proposed system is designed and developed especially for specific population- seniors to browse medication images by using visual information of the medication in a feasible fashion. The experiment shows the proposed automatic image retrieval system is reliable and convenient to identify the medication images.

• Journal of Distribution Science
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• v.12 no.8
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• pp.31-42
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• 2014

Purpose - Recently, a variety of activities for practicing the continuing management of domestic and foreign companies have been conducted and further, corporate social responsibility for maximizing the value of stakeholders such as customers, cooperative companies, and the local community emerges as a key business strategy. Accordingly, the issue of whether corporate image and customer value through corporate social responsibility activities positively affect customer loyalty and customer attitude is investigated in this study. Research design, data, and methodology - Corporate social responsibility activities are classified into legal and moral activities, environmental protection activities, economic activities, and community service activities; further, customer values are classified into emotional value, functional value, and social value, to determine the parameters. In addition, the strategic approach direction of social responsibility activities is justified as a strategy for effectively achieving the expected results that corporations seek by proving the effect of these parameters on customer loyalty. Results - The study results can be summarized as follows. First, legal and moral activities, environmental protection activities, economic activities, and community service activities are four types of CSR activities affecting meaningful improvements in corporate image. Second, legal and moral activities affect factors that meaningfully improve customer value, including factors such as emotional value, functional value, and social value, while environmental protection activities affect improvements in the factor of social value only. Third, corporate image affects meaningful improvements in customer value. Fourth, corporate image affects improvements in customer loyalty positively. Fifth, the three factors of customer value, that is, emotional value, functional value, and social value affect meaningful improvements in customer loyalty. Sixth, customer value acts to partly mediate the effect of companies' CSR activities on customer loyalty. As shown in the study results above, it was verified that CSR activities affect meaningful improvements in corporate image and customer value and, in turn, corporate image and customer value affect meaningful improvements in customer loyalty. In addition, it was verified that customer value acts to partly mediate the effects of companies' CSR activities on customer value. Conclusions - Accordingly, the results of this study suggests as follows. First, it was clearly verified that customers' recognition of CSR efforts has a positive effect on corporate image, customer value, and loyalty because CSR activities improve the relationships between customers and corporations by providing customers with value. Second, it was suggested that corporations implement social contribution activities strategically according to the theory that the higher the rate of CSR activities, the better the corporate image and repurchase intention would be, which is a theory verified through practical analysis. Corporations should do this by constructing positive relationships from the value perceived by customers. To summarize the study results in a brief manner, it is suggested by the results of the study that a corporation should conduct CSR more actively to make customers recognize the positive image of their products and services.

• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.1
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• pp.1-13
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• 2014

The purposes of the study were to explore differences in preference for clothing images according to wearing situations and clothing product involvement. A questionnaire was developed by the researcher and was collected by 101 men and 100 women aged between 40 and 59. Data were analyzed by factor analysis, repeated measure ANOVA, t-test adjusted by Bonferroni, paired sample t-test, and independent sample t-test. The results of the study showed that clothing images were classified into five factors including hard cold image, modern urban image, bold unique image, and heavy luxurious image. There were significant differences in preference among clothing images according to wearing situations and clothing product involvement. While modern urbane image was most preferred, hard cold image was least preferred in both formal and informal wearing situations, and for either high or low involvement clothing products. Also, there were significant differences in clothing image preference according to wearing situations and product involvement. In formal situations, stronger preference for modern urban image and heavy luxurious image showed than in informal situations, and bold unique image and heavy luxurious image were more preferred for high involvement clothing product than for low involvement clothing product. In addition, there were significant differences in preferences for clothing images between groups according to gender and age. In both formal and informal situations, men showed stronger preferences than women for hard cold image, but women for bold unique image. For either high or low involvement clothing products, men preferred hard cold image, modern urban image and heavy luxurious image more than women, but women preferred bold unique image more than men. Lastly, for high involvement clothing product, subjects aged fifties showed stronger preferences than forties for modern urban image and heavy luxurious image, but for low involvement clothing product, modern urban image was more preferred.