• 한국실내디자인학회:학술대회논문집
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• 한국실내디자인학회 2005년도 추계학술발표대회 논문집
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• pp.100-105
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• 2005

Recently cosmetic enterprises make rapid progress try to make well-known brands to perceive an image marketing. As the result, the brand's reliability continues to grow, beyond a medium of expression in two-dimensional, but through tridimensional, on brand's image runs strategies. In a strategic point suchlike visual as a shop's image give a stimulus to customers for increase invalue in corporate image and value of commodities. In the strategy of increase in sales, it is on the rise immediate constituent to consumers. Through cosmetic brand shops, cosmetic industries are provide personalized services and cultural facilities, rather than just selling products and to help revitalization of the cosmetic markets, and the pursuit of customer-oriented segmentation strategy to make changes for the better image for the shops. Each cosmetic brand shops' image of segmentation strategy has an effect on individual organizations and designs. As of today in Korea, cosmetic brand shop's designs, start to appear in the late 2000,will try to fine segmentation strategy for strengthen shop's image and research about unique quality of cosmetic brand shops into consumer orientation space, and make the best of significant prepare on the basis of directions for cosmetic brand shop which have ability to function as cultural facilities.

• 디자인학연구
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• 제17권1호
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• pp.231-240
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• 2004

21세기의 공간 디자인은 그 어느 시기보다도 다양한 미디어와의 관계 속에서 전개되고 있다. 대중문화로 대변되는 이미지의 시대에 미디어와 관계한 공간 디자인은 포스트 모더니즘 사회를 이루는 탈 이성적 사고에 기반을 두며 예술과 삶의 동질화를 통해 사회의 변화를 다의적이고 다원적으로 반영하고 있다. 현대사회를 이루는 다양한 환영주의적 미디어 이미지 중 특히 감각적으로 지각되는 이미지이며 가장된 비 실재적인 이미지인 영화라는 매체는 본연의 특별한 속성을 바탕으로 다양한 예술분야와 상호 연계를 맺으며 급속히 성장하였고 그 파급효과도 놀랄 만큼 커지고 있다. 영화는 극명한 현실감의 재현을 통해 실재로 존재하지 않는 것을 만들어 내고 의미 잃은 이미지들의 새로운 실재를 구성하기 위해 대중사회를 조작하고 이는 가상현실의 세계를 구축하는 요소로 작용하며 시뮬라르크 시대를 대변하는 환영성의 이미지를 창조해 나간다. 영화의 이러한 환영적 표현은 의미들에 대한 새로운 해체와 재 조합을 통해 새로운 의미를 생산하고 우리의 일상적인 삶과 가장 근접한 위치에서 대중문화를 총체적으로 표현한다. 이렇게 우리사회의 반영인 영화 환영성의 대한 분석적 태도는 공간 디자인의 관계에서도 새로운 접근방법으로 시도될 수 있다. 본 연구는 이런 영화의 환영성의 특징이 공간에서 영화와 공통적으로 도출되는 디자인적 개념언어로 활용되어 공간디자인의 한 방법론으로 적용될 수 있는 가능성을 제안하고자 한다.

• 한국전통조경학회지
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• 제37권3호
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• pp.108-118
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• 2019

정원박람회에서 정원을 감상한다는 것은 자연에 대한 아름다움과 함께 조형예술로서 정원의 내면에 숨겨진 작가들의 개념과 아이디어들을 감상하는 데 의미를 가진다. 본 연구는 정원에 표출된 조형 매체를 통하여 작가의 의도된 표현 특성을 파악하는 데 목적을 두고, 2018 태화강 정원박람회에 전시된 정원 중 총 20개 작품을 대상으로 공간에서 전개되는 시각적 서술의 조형 구조를 파악하였다. 이것은 조형 구조가 조형 매체와 조형 언어를 통하여 내용과 형식으로 전달되는 특성을 반영한 것이다. 작품에 대한 분석은 정원에 표현된 서사구조로부터 조형 구조인 시각언어와 공간 언어를 통하여 매체의 표현 특성을 파악하였으며 결과는 다음과 같다. 첫째, 상호텍스트성을 통한 매체 이미지는 다수의 작품이 '도형적 이미지(figure image)'를 통하여 메시지를 전달하고 있다. 즉 개념은 매체를 통하여 '실제 대상의 유사성'으로 전달되며, 이에 따른 '의미와 의미작용'을 기대하는 것이다. 둘째, 정원에서 상징성을 보여주기 위한 기호(sign) 특성은 '도상(icon)', '지표(index)', '상징(symbol)'으로 구분하여 추출하였다. 그 결과 대부분의 작품은 '도상'과 '상징'을 통하여 이미지와 의미 사이의 공통된 특성을 표현하고 있다. 셋째, 조형 원리에 따른 공간 구성요소들은 '주체적(dominant)'인 역할과 '종속적(subordinate)'인 역할의 요소들이 개념전달을 위한 주요 인자로 도출되었다. 또한 '중첩에 의한 공간 구성'과 '투명에 의한 공간 구성'을 통하여 개념적 층위를 강화하고 있음을 알 수 있다. 넷째, 매체의 공간 점유유형은 중앙홀형, 통로형, 개실형 등이 주를 이루며, 개실형의 경우 특정한 오브제가 아닌 공간 전체영역을 개념화한 특징을 가진다. 동선의 유형은 순회형, 통과형, 회귀형의 순으로 빈도가 도출되었다. 이와 같은 정원디자인에 나타난 시각적 서술의 표현 특성에 대한 연구는 향후 개념의 시각적 연출을 위한 공간설계 기법의 기초자료를 마련하는 데 의의가 있다.

• 한국멀티미디어학회논문지
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• 제15권12호
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• pp.1442-1448
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• 2012

The problem of Metal Area Segmentation (MAS) in X-ray CT images is a very hard task because of metal artifacts. This research features a practical yet effective method for MAS in X-ray CT images that exploits both projection image and reconstructed image spaces. We employ the Relevant Neighbor Area (RNA) idea [1] originally developed for projection image inpainting in order to create a novel feature in the projection image space that distinctively represents metal and near-metal pixels with opposite signs. In the reconstructed result of the feature image, application of a simple thresholding technique provides accurate segmentation of metal areas due to nice separation of near-metal areas from metal areas in its histogram.

• 음성과학
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• 제12권3호
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• pp.91-102
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• 2005

This study investigated to the effects of a mental image drawing in RHD patients with left neglect. Three subjects participated in this study. All subjects were right handed and native speaker of korean. In task 1, the patients were presented with visual stimulus card directly above the response sheet and were asked to draw the picture. In task 2, they were presented with items auditorily and asked to draw the picture(mental image drawing). In all experimental conditions, there was no response time limit. The results showed that the subjects showed left neglect leaving some space on the left side in task 1. And the picture was drawn the left side from the right in direction. However, the neglect disappeared in task 2. And the picture was drawn the right side from the left in direction. The results of the present study suggested that a mental image drawing technique can be effective in treating individuals who exhibit left neglect. Also, the picture direction showed that the korean normality was same.

• 디지털산업정보학회논문지
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• 제5권2호
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• pp.157-165
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• 2009

Existing methods for image segmentation using diffusion can't preserve contour information, or noises with high gradients become more salient as the umber of times of the diffusion increases, resulting in over-segmentation when applied to watershed. This thesis proposes a method for image segmentation by applying morphology operation together with robust anisotropic diffusion. For an input image, transformed into LUV color space, closing by reconstruction and anisotropic diffusion are applied to obtain a simplified image which preserves contour information with noises removed. With gradients computed from this simplifed images, watershed algorithm is applied. Experiments show that color images are segmented very effectively without over-segmentation.

• 전자공학회논문지B
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• 제31B권3호
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• pp.91-102
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• 1994

For the analysis of textured image, it requires large storage space and computation time to calculate the matrix features such as SGLDM(Spatial Gray Level Dependence Matrix). NGLDM(Neighboring Gray Level Dependence Matrix). NSGLDM(Neighboring Spatial Gray Level Dependence Matrix) and GLRLM(Gray Level Run Length Matrix). In spite of a large amount of information that each matrix contains, a set of several correlated scalar features calculated from the matrix is not sufficient to approximate it. In this paper, we propose a new classifier for textured images based on these matrices in which the projected vectors of each matrix on the meaningful directions are used as features. In the proposed method, an unknown image is classified to the class of a known image that gives the maximum similarity between the projected model vector from the known image and the vector from the unknown image. In the experiment to classify images of agricultural products, the proposed method shows good performance as much as 85-95% of correct classification ratio.

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2000년도 춘계학술발표논문집
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• pp.328-331
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• 2000

In this paper , we propose a texture feature extraction method of reduce the massive computational time on extracting texture, features of large sized medical such as MRI, CT-scan , and an index structure, called GLTFT, to speed up the retrieval performance. For these, the original image is transformed into a compressed image by Wavelet transform , and textural features such as contrast, energy, entropy, and homogeneity of the compressed image is extracted by using GLCM(Gray Level Co-occurrence Metrix) . The proposed index structure is organized by using the textural features. The processing in compressed domain can give the solution of storage space and the reduction of computational time of feature extracting . And , by GLTFT index structure, image retrieval performance can be expected to be improved by reducing the retrieval range . Our experiment on 270 MRIs as image database shows that shows that such expectation can be got.

• 한국멀티미디어학회논문지
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• 제14권12호
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• pp.1544-1548
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• 2011

A process of choosing a subset of original features, so called feature selection, is considered as a crucial preprocessing step to image processing applications. There are already large pools of techniques developed for machine learning and data mining fields. In this paper, basically two methods, non-feature selection and feature selection, are investigated to compare their predictive effectiveness of classification. Color co-occurrence feature is used for defining image features. Standard Sequential Forward Selection algorithm are used for feature selection to identify relevant features and redundancy among relevant features. Four color spaces, RGB, YCbCr, HSV, and Gaussian space are considered for computing color co-occurrence features. Gray-level image feature is also considered for the performance comparison reasons. The experimental results are presented.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.537-540
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• 2004

Space-borne multi-sensor data could provide fire scar and bum severity mapping. This paper will present detail mapping of burnt areas in Cheongyange Yesan of Korea with ETM+ image. Burn severity map based on ETM+ image was found to be affected by strong topographic illumination effects in mountainous forest area. Topographic effect is a factor which causes errors in classification of high spatial resolution image like IKONOS image. Minnaert constants J( in each band of ETM+ image is derived for reduction of mountainous terrain effects. Finally, this paper computes quantitative analysis of forest fire damage by each forest types.