• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.6
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• pp.1214-1218
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• 2006

This paper presents method to speed up processing time in construction of panoramic images. The method based on invariant feature uses image down-scaling and image edge information. Reducing image size and applying feature descriptor to image portions superimposed with edge causes to reduce the number of features and to improve processing speed. In the experiments, it was shown that the proposed method was 3.26$\sim$13.87% shorter in processing time than the exiting method fer 24-bit color images of 640$\times$480 size.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.257-262
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• 2009

Image processing has been utilized for assessment of infrastructure surface coating conditions for years. However, there is no robust method to overcome the non-uniform illumination problem to date. Therefore, this paper aims to deal with non-uniform illumination problems for bridge coating assessment and to achieve automated rust intensity recognition. This paper starts with selection of the best color configuration for non-uniformly illuminated rust image segmentation. The adaptive-network-based fuzzy inference system (ANFIS) is adopted as the framework to develop the new model, the box-and-ellipse-based neuro-fuzzy approach (BENFA). Finally, the performance of BENFA is compared to the Fuzzy C-Means (FCM) method, which is often used in image recognition, to show the advantage and robustness of BENFA.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.449-456
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• 2009

Image processing has been applied to steel bridge defect recognition since 1990s. Compare to human visual inspection, image processing provides a more objective and accurate way of assessment. Since shade and shadow may sometimes occur when taking bridge coating images, non-uniform illumination problems should be considered. By means of color image processing, this paper aims to mitigate the illumination effect for bridge coating assessment. Furthermore, the adaptable ellipse method (AEM) is proposed to recognize mild rust colors. Finally, AEM will be compared to the K-Means algorithm, a popular recognition method, to show its advantage.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.211-212
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• 2021

This study was conducted to derive quantitative air void volume calculation techniques in various complexes with porosity. Calculation of voids in a complex is an essential factor in improving mechanical properties, and quantitative measurement techniques are needed because the environment is not constant to apply the currently used ASTM criteria. Using the analysis technique obtained through 2D image analysis, it is believed that meaningful results can be derived through Micro CT analysis results and cross-check later.

• Korean Journal of Construction Engineering and Management
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• v.9 no.2
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• pp.90-98
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• 2008

The technical improvement of high-rise building construction is getting better as the demands of the skyscrapers is increasing. The interior construction has become the essential factor which directly affects the whole project because of skyscraperization. This study has proposed the site image-based space model as the tool for supporting decision-making for preparation and execution of the interior construction. It is expected to make the space model which is suitable for the project characteristics and work packages.

• Proceedings of the Korean Institute of Building Construction Conference
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• v.y2004m10
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• pp.91-94
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• 2004

The demand for apartments is decreasing as the condition of housing market in Korea has changed. Therefore, construction companies have to understand the needs of the customers to win over them. It is important for construction companies not only to supply customers with high quality apartments but also to provide them high service quality for a long range plan. One of the important service of the construction companies is after-service(A/S) that includes the defect management. The inhabitants' unsatisfactory defect management will worse the image of the company among the future customers. Also A/S is one of the best way for the company to create good impression to the customers. so the defect management carried out by construction firms has to satisfy the inhabitants. In this study. the degree of association between inhabitants satisfaction and the company's image is proved and the factors of the inhabitants dissatisfaction in defect-management are presented. The major factor that causes dissatisfaction is the long service time of the defect management. Therefore, shortening the time of process taken to deal with the defects would allow construction outfits to satisfy their customers effectively and to be more competitive ones in the Korean apartment market.

• International Journal of Costume and Fashion
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• v.5 no.2
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• pp.1-10
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• 2005

In the 21th century, the age of image, people express and are evaluated with their images. Image making, as behavior of creating image, is rapidly spreading in the society. Thus, the purpose of this study is to investigate the precise concepts of image making, and the meaning of personal image and fashion styling in image making. Based on previous studies in clothing for a theoretical examination of the concepts of image making, and the meaning of personal image and fashion styling in image making, we have analyzed and studied the concepts of image making generally accepted in the society. The results of this study are as follows. First, personal image making aims at the establishment of one's own identity through the ideal image construction. Second, the establishment of one's own identity through building up his ideal image is completed through fashion styling. Third. image making increases one's personal values and competitive power to implement its ultimate goals. In this study, we have proved that image making makes people establish their own identity by building up their ideal images through fashion styling.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.4
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• pp.758-766
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• 2003

This paper proposes a tree-based hierarchical image mosaicing system using camera and object parameters for efficient video database construction. Gray level histogram difference and average intensity difference are proposed for scene change detection of input video. Camera parameter measured by utilizing least sum of square difference and affine model, and difference image is used for similarity measure of two input images. Also, dynamic objects are searched by through macro block setting and extracted by using region splitting and 4-split detection methods. Dynamic trajectory evaluation function is used for expression of dynamic objects, and blurring is performed for construction of soft and slow mosaic image.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.115-118
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• 2004

Images with high resolution are desired and often required in many visual applications. When resolution can not be improved by replacing sensors, either because of cost or hardware physical limits, super resolution image reconstruction method is what can be resorted to. Super resolution image reconstruction method refers to image processing algorithms that produce high quality and high resolution images from a set of low quality and low resolution images. The method is proved to be useful in many practical cases where multiple frames of the same scene can be obtained, including satellite imaging, video surveillance, video enhancement and restoration, digital mosaicking, and medical imaging. The method can be either the frequency domain approach or the spatial domain approach. Much of the earlier works concentrated on the frequency domain formulation, but as more general degradation models were considered, later researches had been almost exclusively on spatial domain formulations. The method in spatial domains has three stages: i) motion estimate or image registration, ii) interpolation onto high resolution grid and iii) deblurring process. The super resolution grid construction in the second stage was discussed in this paper. We applied the Maximum A­Posteriori(MAP) reconstruction method that is one of the major methods in the super resolution grid construction. Based on this method, we reconstructed high resolution images from a set of low resolution images and compared the results with those from other known interpolation methods.

• Proceedings of the Korean Geotechical Society Conference
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• 2010.03a
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• pp.1425-1432
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• 2010

In large construction site, although soil conversion factor is so significant to preliminary design, operation design and calculating the cost of construction that it is important to take reasonable estimation and application, the standard of soil conversion factor for weathered ground doesn't clearly suggested yet. So in this study, at first we obtain the image using DSLR - high resolution camera and Laser scanner in the Haeng-Bok city constructin site, then analysis the ratio of soil and rock using various image processing method(Sobel method, Laplace method, Highpass filter, Hue and Saturation analysis). Mutual comparation with the result of image processing analysis and manual segmentation of 5case image in the cad. As a result, best image processing method was different for each case. In case of high propotion of rock, Laplace was best and in case of high propotion of soil, Highpass was best, and mixed case Laplace was best.