• Journal of the Korea Furniture Society
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• v.25 no.4
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• pp.338-344
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• 2014

Modern furniture design is advancing by putting value on individual sensitivity. Accordingly, this study will focus on optical art, which can give various changes in people's sensitivity. Optical art was actively applied in various fields of image, photograph, fashion, textile, accessory and interior from the 1950s till the 1960s. Optical art realized by Victor Vasarely (1908~) opened a new trend in art by accurately realizing concise and precise expressions. This study analyzed the impact of pattern expression on sensitivity in optical art and suggested a method, which can spatiotemporally maximize the emotional change by combining optical art with the form of furniture. Modern furniture design is changing toward the direction of fitting to the propensity and emotional taste of an individual. Accordingly, this study analyzed the emotional expression felt in the furniture modeling works featured by concise, straight and standardized rectangular shape. Based on the result of analysis, this study would like to suggest a method to utilize optical pattern as a means for emotional design, with which people are able to perform various emotional expressions while keeping the function and form of furniture.

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.3
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• pp.267-274
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• 2015

In the semiconductor manufacturing post-FAB process, predicting a package test result accurately in the wafer testing phase is a key element to ensure the competitiveness of companies. The prediction of package test can reduce unnecessary inspection time and expense. However, an analysing method is not sufficient to analyze data collected at wafer testing phase. Therefore, many companies have been using a summary information such as a mean, weighted sum and variance, and the summarized data reduces a prediction accuracy. In the paper, we propose an analysis method for Wafer Map Image collected at wafer testing process and conduct an experiment using real data.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.8
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• pp.754-759
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• 2007

In this paper, we proposed the Bi-Modal Sensor Fusion Algorithm which is the emotional recognition method that be able to classify 4 emotions (Happy, Sad, Angry, Surprise) by using facial image and speech signal together. We extract the feature vectors from speech signal using acoustic feature without language feature and classify emotional pattern using Neural-Network. We also make the feature selection of mouth, eyes and eyebrows from facial image. and extracted feature vectors that apply to Principal Component Analysis(PCA) remakes low dimension feature vector. So we proposed method to fused into result value of emotion recognition by using facial image and speech.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.8
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• pp.1899-1907
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• 2013

This paper presents an efficient defect detection and classification system based on reference image for COF (Chip-on-Film) which encounters fatal defects after ultra fine pattern fabrication. These defects include typical ones such as open, mouse bite (near open), hard short and soft short. In order to detect these defects, conventionally it needs visual examination or electric circuits. However, these methods requires huge amount of time and money. In this paper, based on reference image, the proposed system detects fatal defect and efficiently classifies it to one of 4 types. The proposed system includes the preprocessing of the test image, the extraction of ROI, the analysis of local binary pattern and classification. Through simulations with lots of sample images, it is shown that the proposed system is very efficient in reducing huge amount of time and money for detecting the defects of ultra fine pattern COF.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.2
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• pp.145-154
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• 2015

This study aims to identify the differences of body image when the stripe direction and width change of semi-tight skirt. The semi-tight skirt pattern was made using the standard size of a women in their 20s. 12 semi-tight skirt models combining 6 kinds of stripe directions and 2 kinds of stripe widths were made using CLO 3D virtual clothing system. The data was evaluated by 126 fashion design majors. The results were as follows; In accordance with the body image factor analysis of semi-tight skirt, three image factors were identified; whole body optical illusion, calf optical illusion and hip optical illusion. Among these factors, the whole body optical illusion factor is the most important factor. The body image depending on the stripe direction and width change of semi-tight skirt mostly showed the significant difference. In accordance with the analysis on the interaction effect of body image depending on the stripe direction and width change of semi-tight skirt, the whole body, calf and hip optical illusion factors showed the significance. The interaction of body image had independent influence on all factors of stripe direction and width. In particular, the interaction of stripe direction and width had the most significant influence on the whole body optical illusion.

• Journal of radiological science and technology
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• v.33 no.2
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• pp.97-107
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• 2010

The objectives of this study is to figure out the unknown image processing methods of commercial CR system. We have implemented the processing curve of each Look up table(LUT) in REGIUS 150 CR system by using virtual digital test pattern method. The characteristic of Dry Imager was measured also. First of all, we have generated the virtual digital test pattern file with binary file editor. This file was used as an input data of CR system (REGIUS 150 CR system, KONICA MINOLTA). The DICOM files which were automatically generated output files by the CR system, were used to figure out the processing curves of each LUT modes (THX, ST, STM, LUM, BONE, LIN). The gradation curves of Dry Imager were also measured to figure out the characteristics of hard copy image. According to the results of each parameters, we identified the characteristics of image processing parameter in CR system. The processing curves which were measured by this proposed method showed the characteristics of CR system. And we found the linearity of Dry Imager in the middle area of processing curves. With these results, we found that the relationships between the curves and each parameters. The G value is related to the slope and the S value is related to the shift in x-axis of processing curves. In conclusion, the image processing method of the each commercial CR systems are different, and they are concealed. This proposed method which uses virtual digital test pattern can measure the characteristics of parameters for the image processing patterns in the CR system. We expect that the proposed method is useful to analogize the image processing means not only for this CR system, but also for the other commercial CR systems.

• Fashion & Textile Research Journal
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• v.22 no.1
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• pp.11-24
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• 2020

This research examines pattern production of 3 men's costumes in the second half of 19th century by 3D reconstruction to reveal technical aspects of mail costumes. The steps are as follows. First, an examination of selective type according to research study. Second, a pattern analysis of 3 historical male tops of 19th century referred to 9 pattern books of the France National Library collection. Third, a categorized type analysis that referred to paintings of the Musée d'Orsay collection. Fourth, a measurement and structure research of 3 historical garments of Fashion and Textile Museum collection. Fifth, the pattern making and fitting by 3D simulation. Research discussed the following subjects and results. First, main type of men's coat can be categorized by frac, redingote, jaquette, and veston. Second, the male costume pattern contained in pattern books was researched along with distinguished silhouettes and structures; X silhouette for frac and redingote, H silhouette for jaquette, and straight box silhouette for veston. Third, based on the analysis of representative type of men's costume per period conducted previous studies, 2 redingotes and a jaquette in the museum were selected and compared to other data such as image materials. Last, the following process was conducted for reconstruction; 'Drawing diagram-Primary pattern drafting by measurement value-3D virtual fitting-Checking the fit-Modification and complement'. We also obtained a 3D virtual reconstruction and a 2D research pattern that suggested a costume pattern by each type along with 3D reconstruction that included insights for male coat techniques of 19th century France.

• Journal of Multimedia Information System
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• v.7 no.2
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• pp.97-106
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• 2020

The subjective experience would degrade the current artificial artistic aesthetic analysis. Since Qiong kiln ceramics have a long history and occupy a very important position in ceramic arts, we employed computer-aided technologies to quickly automatically accurately and quantitatively process a large number of Qiong kiln ceramic images and generate the detailed statistical data. Because the color features are simple and significant visual characteristics, the color features of Qiong kiln ceramics are analyzed for the quantitative aesthetics. The Qiong kiln ceramic images are segmented with GrabCut algorithm. Three moments (1st-order, 2nd-order, and 3rd-order) are calculated in two typical color spaces, namely RGB and HSV. The discrimination powers of the color features are analyzed according to various dynasties (Tang Dynasty, Five Dynasties, Song Dynasty) and various utensils (Pot, kettle, bowl), which are helpful to the selection of the discriminant color features among various dynasties and utensils. This paper is helpful to promoting the quantitative aesthetic research of Qiong kiln ceramics and is also conducive to the research on the aesthetics of other ceramics.

• Journal of the Korean Society of Costume
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• v.66 no.1
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• pp.135-154
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• 2016

The purpose of this study is to research the characteristics and types applied to Korean and foreign luggage brands, and then develop pattern designs for the luggage by applying Korean cultural contents that meet the various fashion needs of travel goods. To select the Korean and foreign luggage brands, a web search was utilized by inputting the keyword, 'luggage brand'. The results, which were extracted from 200 web documents, produced 27 Korean brands and 29 foreign brands that met the requirements. For the data analysis, images and contents were collected through luggage brand websites, and then 927 pattern designs were extracted. The results were as follows. First, characters, figures, animals, and plants were commonly used for the pattern design motifs applied to Korean and foreign luggage. A notable trend was that these motifs were expressed in a stylistic way with a graphic touch. Also, a singular point was formed from the luggage overall, and regularly repeated patterns were very common as well. Secondly, pattern designs for luggage were developed through the application of 'Hangul', 'Hanbok', and 'Hanok'. Nine kinds of patterns were designed via the phases of change into a vector image and color adjustments, and were simulated in luggage design. Adobe Photoshop CS 7.0, and Adobe Illustrator CS 5.0 programs were used for the pattern designs and simulations. This study is meaningful in that it suggested pattern designs for different kinds of luggage in the motifs of Korean cultural contents. It can be used as a useful reference, as we are in a time period where travel goods have become individualized, advanced, and fashionable, as well as laying stress on original design based on cultural interpretation.

• Journal of Information Processing Systems
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• v.13 no.2
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• pp.385-399
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• 2017

Nowadays, with the development of signal processing technique, the protection to the integrity and authenticity of images has become a topic of great concern. A blind image authentication technology with high tamper detection accuracy for different common attacks is urgently needed. In this paper, an improved fragile watermarking method based on local binary pattern (LBP) is presented for blind tamper location in images. In this method, a binary watermark is generated by LBP operator which is often utilized in face identification and texture analysis. In order to guarantee the safety of the proposed algorithm, Arnold transform and logistic map are used to scramble the authentication watermark. Then, the least significant bits (LSBs) of original pixels are substituted by the encrypted watermark. Since the authentication data is constructed from the image itself, no original image is needed in tamper detection. The LBP map of watermarked image is compared to the extracted authentication data to determine whether it is tampered or not. In comparison with other state-of-the-art schemes, various experiments prove that the proposed algorithm achieves better performance in forgery detection and location for baleful attacks.