• 한국식생활문화학회지
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• 제24권6호
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• pp.649-654
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• 2009

This study has a purpose of suggesting the basic data to achieve customer satisfaction by understanding the preference of each type of restaurant industry for the taste of customers in 20's referring to 8 images. In the preference for style of image in dining space, the participants responded that they prefer natural, modern and romantic image, and both male and female participants preferred natural image. Participants responded that they prefer natural, romantic and modern in sequence as their general preference for style of image in dining space, and male participants preferred modern and natural but female participants preferred romantic and natural. The survey that was conducted for different menus has suggested that the reasonable image for fast food is casual, hard casual and classic for hotel restaurant, casual for school restaurant, romantic for cafe, casual for western restaurant, simple for Japanese restaurant, classic and elegance for Chinese restaurant and natural for Korean restaurant. According to the result of the analysis of dining space image, factor 1 are called 'cold image (CI)' as they have simple and modern image, factor 2 are called 'soft image (SI)' as they have natural and romantic image, factor 3 are called 'warm image (WI)' as they have casual and elegance image and factor 4 are called 'hard image (HI)' as they have classic image.

• 패션비즈니스
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• 제8권3호
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• pp.49-58
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• 2004

In the modern society, already a popular and public part of fashion, hair coloring has the effect of optical illusion on image. This study therefor aims to reveal the effects of varied and fashionable hair coloring on the body images. This is a combination of an actual examination and an experimental study. In order to know the effects of hair colors on body image, 230 female collegians residing in Busan were given a questionnaire on the reality of hair dyeing. Based on the actual research, one subject was selected and stimuli were manufactured. The analysis and examination of the effects of hair dyeing have produced the following conclusions. (1) As a result of dispersion analysis about the image effect according to hair colors, a meaningful difference is recognized in the item and indicates that hair color variation influences the image effect. (2) As a result, extracting the factors that hair colors can influence the image, 3 factors were extracted. The first factor is an intellectual image, the second factor is an active image, and the third factor is a comfortable image. (3) Image effect in hair colors are as same next. Red and Orange color clearly indicate the image of 'charismatic', 'lively', 'positive', 'active', 'light' and 'gorgeous'. Blue and Green color indicates the image of 'unfriendly', 'hard', 'cold' and 'uneasy'. White color indicates the image of 'unfriendly', 'charismatic', 'gorgeous' and 'impure' then Black color has images of 'friendly', 'intellectual', 'indignified' and 'pure'. In other words, the result indicates rather a different tendency comparison with the general color image.

• 한국조경학회지
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• 제32권1호
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• pp.47-56
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• 2004

Rapid economic development in Korea caused functions of city functions such as concentration of population, deterioration of the quality of living environment and traffic congestion. Korean cities have lost their identity becausr they are merged functionally and physically with neighboring cities, forming one mesa-city. Unified shape and disorganized streets of cities often cause confusion among foreigners and visitors. It is very difficult for them to find their image in strange cities. It is, however, important to correctly analyze the image and meaning of cities for understanding its identity. The purpose of this study is to develop a method to analyze the city image by focusing on some of the main cities in Korea. For this purpose, the adjective questionnaire and multi-dimension scaling (MDS) are applied to the analysis of city image. Image analysis graph by MDS can visually present the general and integrate images. The results of this study are summarized as follows: The important factors for interpretation of city image are historical and industrial character. Seoul, Taegu and Pusan have industrial and complex city images. Kongju has historical city image, while Changwon has a modern image. Chuncheon belongs to a soft and small image. Each city has an alternative solution against a negative image, according to the image analysis graph.

• Nuclear Medicine and Molecular Imaging
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• 제43권2호
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• pp.156-158
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• 2009

• 감성과학
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• 제14권1호
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• pp.73-82
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• 2011

본 연구는 결혼 예식장 종류에 따른 서비스스케이프 배색 이미지를 호텔 예식 연회, 일반 예식장, 종교 결혼식장 간에 비교하여 분석하고자 하였다. 서울 및 경기 지역 20~39세 400명을 대상으로 직접 방문 및 우편조사를 실시하였고 315부를 분석에 사용하였다. 통계 분석은 SPSS/WIN 17.0을 사용하였고, 신뢰도 분석, 요인분석, t-test, 분산 분석 등을 실시하였다. 요인 분석 결과 결혼식장 배색 이미지는 경쾌함, 고상함, 은은함의 3개 요인으로 분석되었다. 크론바하 알파값이 조사 도구의 신뢰도 분석을 위해 사용되었으며, 0.7 이상을 나타내어 적합하게 나타났다. 결혼식장 배색 이미지 분석 결과, '깨끗한'이 3.60으로 가장 높게 나타났으며, '온화한' 3.50, '은은한' 3.38 순으로 나타났다. 결혼식장 배색 이미지에 대한 결혼식장 유형별 차이를 분석한 결과 통계적으로 유의한 차이를 나타냈으며, 배색 이미지 중 '경쾌함' 요인은 일반 예식장이 3.00, '고상함' 요인은 호텔 결혼식장 3.64, '은은함' 요인은 호텔 결혼식장에서 3.60으로 가장 높게 나타났다. 결혼식장 배색 이미지에 대한 인구통계학적 차이 분석 결과, 성별, 결혼 유무, 한달 총수입에 따라 통계적으로 유의한 차이가 나타난 반면, 연령, 학력, 직업에 따른 차이는 나타나지 않았다. 본 연구 결과는 결혼식장 색채 마케팅 연구의 기초 자료로 활용될 수 있을 것으로 기대된다.

• Journal of Multimedia Information System
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• 제3권4호
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• pp.155-160
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• 2016

The Pulse Coupled Neural Network (PCNN) is a kind of neural network models that consists of spiking neurons and local connections. The PCNN was originally proposed as a model that can reproduce the synchronous phenomena of the neurons in the cat visual cortex. Recently, the PCNN has been applied to the various image processing applications, e.g., image segmentation, edge detection, pattern recognition, and so on. The method for the image matching using the PCNN had been proposed as one of the valuable applications of the PCNN. In this method, the Genetic Algorithm is applied to the PCNN parameter learning for the image matching. In this study, we propose the method of the similar image rating using the PCNN. In our method, the Genetic Algorithm based method is applied to the parameter learning of the PCNN. We show the performance of our method by simulations. From the simulation results, we evaluate the efficiency and the general versatility of our parameter learning method.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.105-108
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• 1996

In this paper, we present an interpolation schema for image resolution enhancement using fuzzy logic. Proposed algorithm can recover both low and high frequency information in image data. In general, interpolation techniques are based on linear operators which are essentially details in the original image. In our fuzzy approach, the operator itself balances the strength of its sharpening and noise suppressing components according to the properties of the input image data. The proposed interpolation algorithm is performed in three step. First logic reasoning is applied to coarsely interpret the high frequency information. These results are combined to obtain the optical output. Using our approach, resolution of the original image can be applied to various kind of image processing topics such as image enhancement, subpixel edge detection, and filtering.

• 한국지능시스템학회논문지
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• 제23권1호
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• pp.18-23
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• 2013

In this paper we propose an image enhancement technique based on histogram specification method over local overlapping regions referred as Local Histogram Specification. First, both reference and original images are splitted into local regions that each overlaps half of its adjacent regions and general histogram specification method is used between corresponding local regions of reference and original image. However it produces noticeable boundary effects. Linear weighted image blending method is used to reduce this effect in order to make seamless image and we also proposed new technique dealing with over-enhanced contrast areas. We satisfied with our experimental results that showed better enhancement accuracy and less noise amplifications compared to other well-known image enhancement methods. We conclude that the proposed method is well suited for motion detection systems as a responsible part to overcome sudden illumination changes.

• 대한전기학회논문지
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• 제37권4호
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• pp.240-250
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• 1988

This pc-vision system digitizes/displays 512*512*8 bit pixel image in real time and is capable of the various image processing. This system provides a versatile solution to those users pursuing high performance image processing system compatible with the VME bus, and is general purpose imaging system giving the optimal efficiency for machine vision, medical use and various task. In this paper, Image processing technique has classified image enhancement and image analysis in order to design and implement the pc-vision system. In order to improve processing speed, This system unilizing ROI processing performs point operation, local operation and global operation as well as common arithmetic/logic operation in real time.

• 대한원격탐사학회지
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• 제24권3호
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• pp.251-256
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• 2008

Morphing method, one of classic image processing algorithms, has been used in various application fields. The motivation of this work is to investigate its applicability in consideration to geo-spatial data including airborne or space-borne images. For this purpose, the Beier and Neely morphing algorithm is tentatively implemented in the form of a prototype with user interface. As the results, this feature-based morphing with paired image sets can be used for general users: image simulation using two or more images and construction of color-blending image between source image and destination image in different types. Some simple application cases were demonstrated. This scheme is the simple and useful approach for those who want to utilize both geo-spatial data sets and airborne/space-borne image sets.