• Journal of Fashion Business
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• v.17 no.3
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• pp.48-57
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• 2013

This study was performed to quantitatively and qualitatively estimate the effect of keratin essence on hair protection against physicochemical damage. Damaged hairs were obtained from an early thirty woman who dyed her hair two times and did digital permanent treatment of her hair two times. The damaged hairs were divided into four experimental groups, which are the control hair (CH) group without additional beauty treatment, the damaged hair (DH) group by additional dyeing treatment, basic essence-treated hair (BEH) group, and keratin essence-treated hair (KEH) groups according to the research goal. The protection effect of keratin essence against the physicochemical damage was quantitatively compared by difference of chrominance measured using a color difference meter and qualitatively compared by difference of outer morphological structure images pictured using scanning electron microscopy (SEM). The brightness and yellowish blue color of KEH were relatively lower but the reddish blue color was relatively higher than other groups of test hairs. Cuticle structure of the previously DH was irregularly deformed and more strongly deformed or partially broken by additional dyeing treatment. On the other hand, the gaps between cuticle scales of the DH were reformed by treatment with basic essence and reformed and filled by treatment with keratin essence in comparison with the DH group. Conclusively, the keratin essence was effective to protect hair structure against the structural damage induced by the dyeing-treatment, by which the coloring efficiency is thought to be improved.

• The Journal of the Korea Contents Association
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• v.8 no.3
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• pp.8-17
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• 2008

A new algorithm for automatic extraction of interesting objects is proposed in this paper. The proposed algorithm can be summarized in two steps. First, segmentation of color image that split interesting objects and backgrounds is performed. According to the research stating, 'Humans perceive things by contracting color into three to four essential colors,' a color image is segmented into three regions utilizing k-mean algorithm, followed by annexing the regions when the similarities of them exceeds the critical value based on the calculation of degrees in the histogram similarity, Second, identifying the interesting objects out of the segmented image, partitioned by the image composition theory, is performed. To have a good picture, it is important to adjust positions of interesting objects according to picture composition. Extracting objects is a retro-deduction process using a weighted mask designed upon the triangular composition of picture. To prove the quality of the proposed method, experiments are performed over four hundreds images as well as comparison with recently proposed KMCC and GBIS methods.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.247-256
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• 2017

21st century has become an era can design human's image. By designing the each human's images it is possible to express the hidden abilities of their mind. Modern society changes rapidly where the elements such as consideration, sympathy, understandings, and female leadership of communication emerge as a spur rather than speediness or complexity.In a lot of global conglomerates, it is very common for women to be selected as CEO, and even more, the rate of woman who are the member of Congress is almost 40%. The fashion of female leader has come to the fore with an improvement of female leadership, and the fashion colour which is suitable to P.O has been developed as a significant image strategy. I am going to conduct the research and analyse the fashion of a female political leader through the colour image which is equivalent to a visual image and sensitive language. I will analyze the human image which female leaders present through fashion colors.

• The Journal of the Korea Contents Association
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• v.7 no.2
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• pp.63-72
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• 2007

The traffic sign on the road should be easy to distinguishable even from far, and should be recognized in a short time. As traffic sign is a very important object which provides important information for the drivers to enhance safety, it has to attract human's attention among any other objects on the road. This paper proposes a new method of detecting the area of traffic sign, which uses attention module on the assumption that we attention our gaze on the traffic sign at first among other objects when we drive a car. In this paper, we analyze the previous studies of psycophysical and physiological results to get what kind of features are used in the process of human's object recognition, especially color processing, and with these results we detected the area of traffic sign. Various kinds of traffic sign images were tested, and the results showed good quality(average 97.8% success).

• Journal of the Korea Society of Computer and Information
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• v.17 no.11
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• pp.27-32
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• 2012

In this paper, we propose a fuzzy method that improves the existing problem of the fuzzy filtering algorithm. The proposed fuzzy filtering algorithm separates R, G, and B channels from the color image. Mask information was extracted from separated channels and the brightness of the mean value and median value for channels was applied in the function of the proposed fuzzy method to calculate the membership and achieve application in the inference rule. Also, the membership degrees of R, G, and B were used to distinguish the possibility of noise. The proposed fuzzy method selected three membership functions. If noise is distinguished, the noise is eliminated by selecting the median value or mean value as the relevant pixel value according to the degree of noise. By applying the proposed method in color images, it was verified that the proposed method is more effective in eliminating noise when compared with the conventional fuzzy filtering method.

• IEMEK Journal of Embedded Systems and Applications
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• v.7 no.4
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• pp.163-172
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• 2012

A driver assistance system is critical to improve a convenience and stability of vehicle driving. Several systems have been already commercialized such as adaptive cruise control system and forward collision warning system. Efficient vehicle detection is very important to improve such driver assistance systems. Most existing vehicle detection systems are based on a radar system, which measures distance between a host and leading (or oncoming) vehicles under various weather conditions. However, it requires high deployment cost and complexity overload when there are many vehicles. A camera based vehicle detection technique is also good alternative method because of low cost and simple implementation. In general, night time vehicle detection is more complicated than day time vehicle detection, because it is much more difficult to distinguish the vehicle's features such as outline and color under the dim environment. This paper proposes a method to detect vehicles at night time using analysis of a captured color space with reduction of reflection and other light sources in images. Four colors spaces, namely RGB, YCbCr, normalized RGB and Ruta-RGB, are compared each other and evaluated. A suboptimal threshold value is determined by Otsu algorithm and applied to extract candidates of taillights of leading vehicles. Statistical features such as mean, variance, skewness, kurtosis, and entropy are extracted from the candidate regions and used as feature vector for SVM(Support Vector Machine) classifier. According to our simulation results, the proposed statistical feature based SVM provides relatively high performances of leading vehicle detection with various distances in variable nighttime environments.

• Korean Chemical Engineering Research
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• v.48 no.4
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• pp.483-489
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• 2010

An image analysis-based soft sensor is designed and applied to automatic quality classification of product appearance with color-textural characteristics. In this work, multiresolutional multivariate image analysis (MR-MIA) is used in order to analyze product images with color as well as texture. Fisher's discriminant analysis (FDA) is also used as a supervised learning method for automatic classification. The use of FDA, one of latent variable methods, enables us not only to classify products appearance into distinct classes, but also to numerically and consistently estimate product appearance with continuous variations and to analyze characteristics of appearance. This approach is successfully applied to automatic quality classification of intermediate and final products in industrial manufacturing of engineered stone countertops.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.6
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• pp.1312-1317
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• 2003

This paper presents an integrated approach to unconstrained face recognition in arbitrary scenes. The front end of the system comprises of a scale and pose tolerant face detector. Scale normalization is achieved through novel combination of a skin color segmentation and log-polar mapping procedure. Principal component analysis is used with the multi-view approach proposed in[10] to handle the pose variations. For a given color input image, the detector encloses a face in a complex scene within a circular boundary and indicates the position of the nose. Next, for recognition, a radial grid mapping centered on the nose yields a feature vector within the circular boundary. As the width of the color segmented region provides an estimated size for the face, the extracted feature vector is scale normalized by the estimated size. The feature vector is input to a trained neural network classifier for face identification. The system was evaluated using a database of 20 person's faces with varying scale and pose obtained on different complex backgrounds. The performance of the face recognizer was also quite good except for sensitivity to small scale face images. The integrated system achieved average recognition rates of 87% to 92%.

• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.181-187
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• 2018

This study was to develop and apply the avatar art activity as a career search program to find out the possibility of oneself based on self-understanding and to find out the value of work. Furthermore, this study has suggested the effect obtained by appreciating their own business card and images in the use of color code media. Art program has been conducted for five sessions in 'past tense' 'present tense' and 'future tense' on first graders in Middle School. As a result education effect obtained from the art program for career exploration in manufacturing Avatar is as follows. First, there was an effect as to how students ended up knowing their inner strength through mind-map realizing their characteristics and personal interest. Secondly, Avatar was manufactured by enhancing an understanding about them through self-exploration. Third, students appreciated their 'business card' and 'video clip' by using color code media building self-leading attitude in realizing career design.

• Imaging Science in Dentistry
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• v.41 no.1
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• pp.11-16
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• 2011

Purpose : The aim of this study was to evaluate the effect of liquid crystal display (LCD) monitor type and observer experience on the diagnostic performance in soft-copy interpretations of maxillary sinus inflammatory lesions on panoramic radiographs. Materials and Methods : Ninety maxillary sinuses on panoramic images were grouped into negative and positive groups according to the presence of inflammatory lesions, using CT for confirmation. Monochrome and color LCDs were used. Six observers participated and ROC analysis was performed to evaluate the diagnostic performance. The reading time, fatigue score, and inter-/intra-observer agreements were assessed. Results : The interpretation of maxillary sinus inflammatory lesions was affected by the LCD monitor type used and by the experience of the observer. The reading time was not significantly different, however the fatigue score was significantly different between two LCD monitors. Inter-observer agreement was relatively good in experienced observers, while the intra-observer agreement for all observers was good with monochrome LCD but not with color LCD. Conclusion : The less experienced observers showed lowered diagnostic ability with a general color LCD.