• Journal of the Computational Structural Engineering Institute of Korea
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• v.37 no.2
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• pp.143-149
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• 2024

Segmentation of material phases through image analysis is essential for analyzing the microstructure of materials. Micro-CT images exhibit variations in grayscale values depending on the phases constituting the material. Phase segmentation is generally achieved by comparing the grayscale values in the images. In the case of waste concrete used as a recycled aggregate, it is challenging to distinguish between hydrated cement paste and natural aggregates, as these components exhibit similar grayscale values in micro-CT images. In this study, we propose a method for automatically separating the aggregates in concrete, in micro-CT images. Utilizing the Unet-VGG16 deep-learning network, we introduce a technique for segmenting the 2D aggregate images and stacking them to obtain 3D aggregate images. Image filtering is employed to separate aggregate particles from the selected 3D aggregate images. The performance of aggregate segmentation is validated through accuracy, precision, recall, and F1-score assessments.

• Culinary science and hospitality research
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• v.16 no.4
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• pp.64-75
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• 2010

The aim of the study is to explore how foreigners recognize Korean culture through Korean food and how it influences the perception of Korean restaurants, culture and satisfaction. As a result of analyzing the data, three factors in the Korean culture of restaurants were obtained: style, flavor and affection. With multiple regression analysis, all three hypotheses were supported. Style was the most important contributor to the image of Korean restaurants and culture, followed by affection and flavor. The image of Korean culture has significant influence on satisfaction. Major recommendations of this study can be outlined as follows: First, among style, flavor and affection, style was a major determinant of the image of Korean culture; hence, in order to enhance the image of Korean restaurants and culture, style needs to be emphasized. Second, as the image of Korean culture has significant influence on satisfaction, the images of Korean culture should be well displayed and maintained to boost this satisfaction.

• International Commerce and Information Review
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• v.14 no.1
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• pp.23-46
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• 2012

The purpose of this study to measure the re-purchase intentions and country-of-origin effect in the Vietnam's image. This study was used to analysis the questionnaire date as SPSS ver. 12.0 statistical package. The major result of article can be summarized as follows. The factors of this study have been divided into 'political image', 'social image', 'cultural imge', 'economical image', and 'international image'. In the empirical result of the article, the country-of-origin effect for the Vietnam's country image would be shown in the results as the fellow. The first, 'cultural image', 'economical image', 'international image' are significantly positive country-of-origin effect. The second, 'political image', 'social image' are not as significantly positive statistically speaking. Also, country-of-origin effect show significantly positive re-purchase intention.

• Broadcasting and Media Magazine
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• v.9 no.1
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• pp.86-95
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• 2004

본 논문은 디지털 TV에서 시정자가 보고 있는 동영상에서 관심 있는 화면을 갭춰하여 저장하고, 그 저장된 이미지들을 미술관이나 박물관 같이 꾸며진 환경에서 감상하듯이 다시 볼 수 있는 자신만의 이미지 갤러리를 만드는 것을 목적으로 한다. 또한, 컴퓨터 안에 있는 이미지를 PDA나 휴대폰 등에 쉽게 업로드할 수 있는 것과 같이 디지털 TV에서도 이 이미지들을 가공하거나 이메일을 통해 다른 사람에게 전달할 수 있다. 본 논문에서는 디지털 TV에 이러한 갤러리 기능을 추가하기 위한 데이터 방송 애플리케이션의 설계와 구현을 기술한다. 이 애플리케이션은 디지털 방송이 시작되면서 가능해진 본격적인 데이터 방송을 응용한 독특한 예이다. 본 논문에서는 이러한 데이터 방송을 구현하는데 필요한 요소를 기술하고, 애플리케이션을 구현하는 과정에서 해결해야 했던 문제점들을 기술한다.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.475-482
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• 2012

In recent years, visual media for Public Relations has become an important means to improve or change city images. The purpose of this study is to examine the relations between city images and images in visual media for PR. The results of this study would be provided as the fundamental data for making city's promotional video effectively.

• KIISE Transactions on Computing Practices
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• v.23 no.9
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• pp.564-571
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• 2017

The burst loading of a pre-created cache-image is an effective method to reduce the instruction cache misses in the early stage of the program execution. It is useful to alleviate the performance degradation as well as the energy inefficiency, which is induced by the concentrated cold misses at the instruction cache. However, there are some defects, including software overhead on the compiler and installer. Furthermore, there are several mismatches as a result of the dynamic properties for specific applications. This paper addresses these issues and proposes a cache-image maintenance/recreation policy that can conduct dynamic management using a hardware-assisted method. The results of the simulation show that the proposed method can maintain the cache-image with a proper size and validity.

• Journal of the Korean Society for information Management
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• v.16 no.4
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• pp.95-107
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• 1999

Various approaches have been made for dividing images in content-based image retrieval. One of them defined five regions for images and conducted a series of experiments. A major assumption of the experiment is that the center regions of images are very important. It is based on the observation that meaningful objects are usually located in the center region of images. From this point of view, we tried to test if the assumptions is objectively valid by calculating and comparing PIM(Picture Information Measure) entropies of image regions proposed by S.K Chang. The experimental results showed that there were statistical PIM differences between the center and other regions.

• The KIPS Transactions:PartB
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• v.10B no.6
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• pp.681-686
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• 2003

In recent years automatic image indexing and retrieval have been increasingly studied. However, content-based retrieval techniques for general images are still inadequate for many purposes. The novelty and originality of this thesis are the definition and use of a spatial information model as a contribution to the accuracy and efficiency of image search. In addition, the model is applied to represent color and shape image contents as a vector using the method of image features extraction, which was inspired by the previous work on the study of human visual perception. The indexing scheme using the color, shape and spatial model shows the potential of being applied with the well-developed algorithms of features extraction and image search, like ranking operations. To conclude, user can retrieved more similar images with high precision and fast speed using the proposed system.

• The KIPS Transactions:PartB
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• v.13B no.3 s.106
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• pp.231-238
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• 2006

In this paper, the method to make lossless image compression that holds considerable part of total volume of mobile game has been proposed. To increase the compression rate, we compress the image by Deflate algorithm defined in RFC 1951 after reorganize it at preprocessing stage before conducting actual compression. At the stage of preprocessing, we obtained the size of a dictionary based on the information of image which is the feature of Dictionary-Based Coding, and increased the better compression rate than compressing in a general manner using in a way of restructuring image by pixel packing method and DPCM prediction technique. It has shown that the method increased 9.7% of compression rate compare with existing mobile image format, after conducting the test of compression rate applying the suggested compression method into various mobile games.

• The KIPS Transactions:PartB
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• v.10B no.7
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• pp.823-828
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• 2003

The main objective of this paper is to provide a methodology of feature extraction using shape of image objects for content-based image retrieval. The shape of most real-life objects is irregular, and hence there is no universal approach to quantify the shape of an arbitrary object. In particular. electronic catalogs contain many image objects for their products. In this paper, we perform feature extraction based on individual objects in images rather than on the whole image itself, since our method uses a shape-based approach of objects using RLC lines within an image. Experiments show that shape parameters distinctly represented image objects and provided better classification and discrimination among image objects in an image database compared to Texture.