• Korean Institute of Interior Design Journal
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• v.17 no.6
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• pp.216-224
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• 2008

The represented Design Language have to include design meaning by functions in Interior. It also is able to easy and quick to understand in conversation for the design proposal. In this study, 6 stages suggest for the basic forming image in Interior Design. Those are form, line, space, color, material and principles of design. And essential image language arranged by preceding research. The fundamental 6 elements of space are used for explanation with the minimum method to make consumer understand through some image. Image has the communication function as a visual conversation in Space Design. The purpose of using the image language is the exchange into communication by written visual image. In order to it is necessary to delivery correct meaning of Interior Design for the understand between consumer and designer for the suggestion through images. Therefore, making categories for representation-language from image features of interior design is a important research with the value to share the spatial pattern. It will be expected to add the spatial Image language by processing with new trend.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.6
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• pp.468-476
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• 2002

The confidence of information from image processing depends on the original image quality. Enhancing the confidence by an algorithm has an essential limitation. Especially, road images are exposed to lots of noisy sources, which makes image processing difficult. We, in this paper, propose a FNN (fuzzy-neural network) capable oi deciding the quality of a road image prior to extracting lane-related information. According to the decision by the FNN, road images are classified into good or bad to extract lane-related information. A CDF (cumulative distribution function), a function of edge histogram, is utilized to construct input parameters of the FNN, it is based on the fact that the shape of the CDF and the image quality has large correlation. Input pattern vector to the FNN consists of ten parameters in which nine parameters are from the CDF and the other one is from intensity distribution of raw image. Correlation analysis shows that each parameter represents the image quality well. According to the experimental results, the proposed FNN system was quite successful. We carried out simulations with real images taken by various lighting and weather conditions and achieved about 99% successful decision-making.

• Journal of Institute of Control, Robotics and Systems
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• v.9 no.7
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• pp.498-506
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• 2003

A computer vision system applied to an intelligent safety vehicle has been required to be worked on a small sized real time special purposed hardware not on a general purposed computer. In addition, the system should have a high reliability even under the adverse road traffic environment. This paper presents a design and an implementation of an onboard hardware system taking into account for high speed image processing to analyze a road traffic scene. The system is mainly composed of two parts: an early processing module of FPGA and a postprocessing module of DSP. The early processing module is designed to extract several image primitives such as the intensity of a gray level image and edge attributes in a real-time Especially, the module is optimized for the Sobel edge operation. The postprocessing module of DSP utilizes the image features from the early processing module for making image understanding or image analysis of a road traffic scene. The performance of the proposed system is evaluated by an experiment of a lane-related information extraction. The experiment shows the successful results of image processing speed of twenty-five frames of 320$\times$240 pixels per second.

• Journal of The Korean Society of Agricultural Engineers
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• v.59 no.2
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• pp.81-90
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• 2017

Recent floodplain data are important for river master plan, storm and flood damage reduction comprehensive plan and pre-disaster impact assessment. Hazard map, base of floodplain data, is being emphasized as important method of non-structural flood prevention and consist of inundation trace map, inundation expected map and hazard information map. Inundation trace map describes distribution of area that damaged from typhoons, heavy rain and tsunamis and includes identified flood level, flood depth and flood time from flooding area. However due to lack of these data by local government, which are foundational and supposed to be well prepared nationwide, having hard time for making inundation trace map or hazard information map. To overcome this problem, time consumption and budget reduction is required through various research. From this study, DEM (Digital Elevation Model) from image material from UAVS (Unmanned Aerial Vehicle System) and numeric geographic map from National Geographic Information Institute are used for calculating flooding damaged area and compared with inundation trace map. As results, inundation trace map DEM based on image material from UAVS had better accuracy than that used DEM based on numeric geographic map. And making hazard map could be easier and more accurate by utilizing image material from UAVS than before.

• Journal of the Korea Fashion and Costume Design Association
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• v.26 no.1
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• pp.1-16
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• 2024

This study aims to investigate the differences in blue jean styles and the visual images associated with them. To achieve this, literature reviews, case studies, and surveys were conducted. The results are as follows. 1) Based on previous studies, it was found that the design elements influencing the style of blue jeans and their visual images include waistline position, silhouette, details, decorations, and color. Additionally, differences in the preferences and visual evaluations of Korean and Chinese individuals regarding the style of blue jeans were confirmed. 2) Skinny blue jeans are typically characterized by a high waistline and a length that reaches the ankles, featuring a snug fit with stretchy fabric. Straight blue jeans, on the other hand, usually have a natural or high waistline and cover the instep, with a straight silhouette descending from the thigh to the hem. Bell-bottom blue jeans are primarily high-waisted and cover the instep with a silhouette forming a bell shape from the knee to the hem. 3) Korean and Chinese women in their 20s evaluated skinny, straight, and bell-bottom styles of blue jeans as having a 'casual' image. However, they also associated bell-bottom style blue jeans with 'unique' and 'attractive' images. Interestingly, Korean women described skinny-style blue jeans as making someone look 'youthful', while Chinese women perceived them as 'sophisticated', 'making the waist look thicker', and 'unassuming'. As for straight-style blue jeans, Korean women saw them as 'well-fitting', while Chinese women described them as 'making one appear taller', 'desirable', and 'free-spirited'.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2006.11a
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• pp.476-479
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• 2006

The purpose of this study is to evaluate and analyse the characteristics and images of interior environment design in the living rooms, bed rooms and kitchen of the apartment, using the e-model houses of the apartments that will be constructed by 10 construction companies and be occupied after 2006. The 29 defined terms were used in this study to describe the interior image trend. They were systematized by a 5-point scale for the SD evaluation, and were used as a tool to analyse the images. The images were evaluated by methods, such as monitoring the image photos showing the individual rooms in their e-model houses and making their slide film, and reediting them to understand interior atmospheres completely. The image evaluation was performed by the group of 2nd and 3rd year students in the Housing & Interior Design of D University on December 9, 2005, and the data were analysed using SPSS Statistical Program 12.0 for Windows.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.15 no.5
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• pp.37-43
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• 2006

The target of this study is development of web based mold discrimination system by matching vision information with CAD database. The use of 2D vision image makes possible speedy mold discrimination from many databases. The image processing such as preprocessing, cleaning is done for obtaining vivid image with object information. The web-based system is a program which runs to exchange messages between a server and a client by making of ActiveX control and the result of mold discrimination is shown on web-browser. For effective feature classification and extraction, signature method is used to make sensible information from 2D data. As a result, the possibility of proposed system is shown as matching feature information from vision image with CAD database samples.

• Proceedings of the IEEK Conference
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• 2000.11c
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• pp.89-92
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• 2000

The wireless network has bursty and high error rates. Due to the quite limited bandwidth in wireless networks, images are usually transmitted as a compressed version with VLC(variable length coding). Loss of coded data can affect a decoded image to a large extent, making concealment of errors caused by data loss an important issue. This paper presents a error concealment technique for DCT(Discrete Cosine Transform) based image coding. First, a method to estimate the missing DC coefficients of a JPEG coded image which is required for decoding the compressed image, is suggested and evaluated. Second, the missing data is interpolated by exploiting the probability of being nonzero and the correlation between adjacent blocks. In addition, since the these technique is computational efficient, it conserves system resources and power consumption, which are restrictive in mobile computers.

• Proceedings of the KSME Conference
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• 2008.11a
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• pp.1204-1209
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• 2008

Design is important in the IT, digital appliance, and auto industries. Aesthetic and art images are being applied for better design satisfaction of the products. Various artistic image patterns are used to satisfy demand of design, but it takes much lead-time and effort to implement them for making dies and molds. In this paper, a hybrid reverse engineering method generating accurate 3D engraving models from 2D art images is proposed through image processing, 3D reconstruction, and NURBS interpolation methods. In order to generate the 3D model from the 2D artistic image, cloud points with z-depth are extracted according to intensity values of the image. An adaptive median filter and harmonic filter are used to obtain the intensity values accurately. NURBS surfaces are generated through the interpolation of the cloud points. Performance of the developed system is to be confirmed through the realization of Mona Lisa and Golden Gate Bridge.

• Imaging Science in Dentistry
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• v.34 no.4
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• pp.199-202
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• 2004

The odontogenic myxoma is an benign, slow growing neoplasm which is of ectomesenchymal origin. This neoplasm occurs almost exclusively in the jaw bones and comprises 0.2% to 17.7% of odontogenic tumors. The odontogenic myxoma may show a wide spectrum of radiographic appearances, unilocular, multilocular radiolucency and a distinct or diffuse border, making the differential diagnosis difficult. We present a case of the odontogenic myxoma in the maxilla with conventional and recent image modalities. Occlusal film revealed a medially extended multilocular lesion with intralesional fine and straight trabeculations from the scalloped margin and buccal expansion and thinning of cortical bone. Computed tomogram revealed lesion showed equivalent density to the muscles in the left maxillary sinus with partial cortical discontinuity of medial wall and the tennis-racket pattern with internal straight trabeculations. MRI revealed intermediate signal intensity on Tl weighted image and high signal intensity on T2 weighted image. In Gd enhanced MR image, the peripheral portions of the lesion were enhanced.