• Korean Journal of Human Ecology
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• v.15 no.6
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• pp.1049-1062
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• 2006

The purpose of this study is to find out the image according to formative properties of hat and garment in the fashion collection. For the study, the 96 stimuli found frequently in fashion collection from the S/S season of 1998 to the F/W season of 2004 were selected. Sets of stimulus and response scales (7 point semantic) were used as experimental materials. The stimuli were 96 pictures with the types of hat(4), the lengths of hair(3), the types of garment(3), the relations between the color of garment and hat(4), and the materials(4) and patterns of garment(2). The subjects were 415 women college students majoring fashion design related fields and living in Seoul and Gyeongsangnam-do. As statistical methods for data analysis, Factor Analysis, ANOVA test, and LSD test were used. The items of the adjectives were classified into 5 image dimensions; attractiveness, gracefulness, concentration, cuteness, and hardness and softness. Among these factors, each dimensional image was affected by formative properties of hat and garment. The image of a hat-wearer was perceived differently according to the hair style and the formative properties of hat and garment even if the type of hat was same.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.9
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• pp.901-908
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• 2016

Edge is the basic characteristic of image, edge detection is very important in image processing applications and computer vision area. Many studies are being performed to detect these edges by domestic and foreign researchers. The conventional edge detection methods such as Roberts, Sobel, Prewitt, and Laplacian etc, which are using a fixed value of mask are widely used and morphological gradient which uses dilation and erosion among morphology process techniques is also widely used. But these methods does not detect edges well in the diagonal direction or gradually changing image parts. Accordingly, in this paper, the modified top-hat and bottom-hat transform algorithms which are detecting edges well in the parts of diagonal direction or gradually changing image are proposed. The proposed algorithms present the detected edge images compared with the conventional methods and are evaluated performance by using cosine similarity.

• Journal of Ocean Engineering and Technology
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• v.16 no.6
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• pp.32-36
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• 2002

This paper presents the results of wave profile detection from video image using the Mexican hat function. The Mexican hat function has been extensively used in the field of signal processing to detect discontinuity in the images. The analysis was done on the numerical image and video images of waves that were taken in the small wave flume. The results show that the Mexican hat function is an excellent tool for wave profile detection.

• The Research Journal of the Costume Culture
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• v.20 no.6
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• pp.826-837
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• 2012

Recently, hats have been used more frequently as an accessory, contributing to the general image of clothes in men's collections. This study compared and analyzed the frequency and styles of hat usage in men's brand collections according to the collections' images. Types of hats and their frequency of usage in men's clothes were analyzed among 857 collections from 74 brands between S/S 2006 and F/W 2012. This study also examined the relationship between clothes image and type of hats used. Hats were used in 622 out of 857 collections, and 24 different types of hats were used. In 67 collections, hats were used in at least 71% of clothes. The most frequently used hat was the fedora, followed in frequency by the beanie, cap, bowler, and high hat. The styles of hats in collections varied depending on seasons. In S/S season collections, fedoras were often used, while beanies were more common during the F/W season. This study analyzed styles of hats used in formal, casual, uniformed, and deformed images. Beanies and fedoras were frequently used for the formal image; fedoras, beanies, and plat caps were often used for the casual image; more than 3 types of hats were used together for the uniformed image; and design hats and hats in various styles were used for the deformed image. The results show that hats of various styles were used in collections to express the image of clothes.

• The Research Journal of the Costume Culture
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• v.14 no.1
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• pp.64-78
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• 2006

The purpose of this study is to set a characteristic design by analyzing formative properties for the hat and fashion image shown in fashion collections from the S/S season of 1998 to the F/W season of 2004 in recent seven years. For the study, the 96 stimuli which found frequently in fashion collection were selected. The examines for the image evaluation were women college students majoring fashion design related fields and living in Seoul, Gyeonggi-do, and Gyeongsangnam-do. Data collection was performed in August 2004. As statistical methods for data analysis, internal consistency method, Factor Analysis, MANOVA were used. Based on the analysis of 31 pairs of adjectives for elucidating the total 96 stimuli which were devised by altering the types of garment, the relation between a garment and a color of hat, the types of hat, the length of hair, and the material and design of garment, five factors or attractiveness, gracefulness, concentration, cuteness, and hardness and softness were deduced. And it showed much difference in the types of garment, the relations between a garment and a color of hat, the types of hat, the length of hair, and the material and design of a garment.

• Journal of the Korea Fashion and Costume Design Association
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• v.10 no.1
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• pp.55-68
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• 2008

This study is aiming to set a characteristic design and a fashion trend by analyzing hat style trends and fashion images shown in fashion collections in recent seven years. Also, based on the result of the analysis on the five world's major collections, the influence and the interrelation of hat and fashion image were analyzed. The study was performed by the context analysis method and the image evaluation method. In the context analysis method, the 1,391 pictures for hat-styles which were believed to be the standard of fashion style from the S/S season of 1998 to the F/W season of 2004 were analyzed. The research is summarized as follows. Based on the result of the fashion collections, the kinds of hats came Bowler, Beret, Cloche, Capeline, Cap and Hood in order, and Casual, Feminine, Natural, Formal, Romantic, and Mannish came in order for the case of the fashion images for putting on a hat. The result of the analysis on the characteristic of fashion design according to the kinds of hats, the casual image, with highest frequency, was found from all of the kinds except Capeline. Bowler and Cloche were conspicuous in jackets/slacks, Capeline was conspicuous in one-piece shape, and cloth silhouette showed the highest frequency in H type. As for Bowler, the color of cloth and hat was mostly black, and as for Beret and Cloche, achromatic color showed the highest frequency. But as for Capeline, the cloth color, including chromatic color, was various. As for Beret, pattern and material image were various comparatively, but as for other kinds of hats, there were the materials with no pattern and with hard material image.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2002.05a
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• pp.270-274
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• 2002

This paper presents the results of wave profile detection from video image using Mexican hat function. The Mexican hat function has been extensively used in the filed of signal processing to detect discontinuity in the images. The analysis was done on the numerical image and video images of waves which were taken in the circulating water channel. The results show that Mexican hat function is an excellent tool in the wave profile detection.

• Journal of IKEEE
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• v.2 no.2 s.3
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• pp.239-246
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• 1998

In this paper, a new morphological details extraction algorithm is proposed. It is known that separate transmission of details and background smoothed image is a powerful technique for very low bit-rate video data transmission. Several details extraction algorithms show relatively large variation of grayscale levels in details, smoothed image, which is the difference between original and details images, provides highly distortedand complicated result. In order to remedy those pitfails, and thus to improve the coding efficiency, we propose a new algorithm using the reconstruction top-hat result as the reference image in process of obtaining details, instead of top-hat result, which is used fur existing a1gorithms. Experimental results show that details, extracted using the proposed algorithm, are much similar to original image, and thus the smoothed image is not too complicated.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.721-723
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• 2007

Recently, the size and location of the acquired container image while the container is loading and unloading in Harbors is not fixed. And it is difficult to get a good image for recognition because of the variation of external environment as those the size of container and where the yard-tractor stop is. In this paper, we estimate where the container ISO-code set is using Top-hat transform from realtime images and get an image to recognize container ISO-code using PAN/TILT/ZOOM camera. We extract the container ISO-code using Top-hat transform and Histogram projection. After binarization, we extract each character from complex background using labeling. We use BP(Backpropagation Network) to recognize extracted characters.

• Journal of the Korean Society for Advanced Composite Structures
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• v.6 no.2
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• pp.17-22
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• 2015

In this paper, we study the calculation for the fracture area of the composite material specimens using digital image processing techniques. This study was able to calculate the area of the fracture region through the main operation step 7 on the basis of improved image. To extract the area in the original image, we have to use opening operation, close operation, the Hit-or-Miss operation and Bottom hat filter, Top hat filter, etc. In particular, to extract the area of the composite specimen discussed in this study, we have to use the combination of the operations and filters because it is non-isotropic material, or should develop a new algorithm based on it.