• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.11
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• pp.1362-1376
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• 2011

This study examines the effect of the structural properties of F/W wool knit fabrics for woman's knitwear on the perceptions of textures and sensible images of consumers and present basic data for textile designing by analyzing the relationship among the structural properties, mechanical properties, objective hand measurements and preferences. A total of 12 kinds of knit fabrics were prepared and investigated in terms of the differences in the subjective, mechanical properties and objective hand measurements according to the structural properties of knit fabrics. The data were analyzed by t-test. The subjective hand attributes of wool knits through factor analysis are categorized into 6 factors. In particular, the 'active/comfort' factor is a meaningful result that reflects the unique characteristics of knit fabrics compared to woven fabrics. Mechanical properties and objective hand measurements have a greater effect on textures than on sensible images; in addition, the structural properties, 'gauge' was the most important factor to influence the subjective evaluation.

• Korean Institute of Interior Design Journal
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• v.19 no.1
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• pp.169-179
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• 2010

Since modernization period thru Japanese colonial era the modern architect began to play a important role for Korean housing architecture. So called 'House as an Art Work', detached houses by prominent architects, belong to a meaningful sector in Korean modern housing architecture. The harmony with tradition was always big issue for such works. This study aims to understand how paradigms for tradition were interpreted with the changes of the time. The analysis showed various tryout by architects, that concretize traditional characteristics in their work. For example, traditional lifestyle were clearly reflected in the floorplan during 30's and 40's. In the 70's building mass and formative roof design were emphasized to present traditional image. As well as it represented primitive esthetic and vernacular decoration. In addition, expressive tendency, that demonstrates korean sentiment through material and its texture, got a preference. Since latter half of 80's some traditional architectural elements were modernized and space characteristics were newly created from acculturation. Furthermore the philosophy of "Subdivision of building wings and Emptiness" follows this trend. This type made a courtyard and connected articulated building masses each other. "Sympathy with Nature" were most essential for a traditional houses in contrast with western architecture. Many architects today make various method to bring nature into interior space and to contemplate nature In the house. Such kinds of adaptation to tradition could be understood as a unique process to manifest identity of Korean modern houses.

• Journal of Information Processing Systems
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• v.13 no.4
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• pp.703-715
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• 2017

Mammogram images are sensitive in nature and even a minor change in the environment affects the quality of the images. Due to the lack of expert radiologists, it is difficult to interpret the mammogram images. In this paper an algorithm is proposed for a computer-aided diagnosis system, which is based on the wavelet based adaptive sigmoid function. The cascade feed-forward back propagation technique has been used for training and testing purposes. Due to the poor contrast in digital mammogram images it is difficult to process the images directly. Thus, the images were first processed using the wavelet based adaptive sigmoid function and then the suspicious regions were selected to extract the features. A combination of texture features and gray-level co-occurrence matrix features were extracted and used for training and testing purposes. The system was trained with 150 images, while a total 100 mammogram images were used for testing. A classification accuracy of more than 95% was obtained with our proposed method.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2007.06a
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• pp.517-518
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• 2007

A method to recognize unpaved road region using a 3D depth measurement system is proposed for mobile robots. For autonomous maneuvering of mobile robots, recognition of obstacles or recognition of road region is the essential task. In this paper, the 3D depth measurement system which is composed of a rotating mirror, a line laser and mono-camera is employed to detect depth, where the laser light is reflected by the mirror and projected to the scene objects whose locations are to be determined. The obtained depth information is converted into an image. Such depth images of the road region represent even and plane while that of off-road region is irregular or textured. Therefore, the problem falls into a texture identification problem. Road region is detected employing a simple spatial differentiation technique to detect the plain textured area. Identification results of the diverse situation of Nonlinear trail are included in this paper.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.423-427
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• 2002

Contrary to the traditional text-based information, 4S(GIS,GNSS,SIIS,ITS) information can contribute to the citizen's welfare in upcoming era. Recently, GSIS(Geo-Spatial Information System) has been applied and stressed out in various fields. As analyzed the data from GSIS arena, the position information of objects and targets is crucial and critical. Therefore, several methods of getting and knowing position are proposed and developed. From this perspective, Position collection and processing are the heart of 4S technology. We develop 4S-Van that enables real-time acquisition of position and attribute information and accurate image data in remote site. In this study, the configuration of 4S-Van equipped with GPS, INS, CCD and eye-safe laser scanner is shown and the merits of DGPS/INS integration approach for geo-referencing is briefly discussed. The algorithm of DGPS/INS integration fur determination of six parameters of motion is eccential in the 4S-Van to avoid or simplify the complicated computation such as photogrammetric triangulation. 4S-Van has the application of Laser-Mobile Mapping System for three-dimensional data acquisition that merges the texture information from CCD camera. The technique is also applied in the fields of virtual reality, car navigation, computer games, planning and management, city transportation, mobile communication, etc.

• Journal of Korea Multimedia Society
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• v.10 no.2
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• pp.187-199
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• 2007

The purpose of painterly rendering is to express real painting work from input image. For expression of real pain ting impression, drawing condition is one of main element. In this paper, we propose new algorithm for using density of edges. Drawing condition of new algorithm uses color difference and density of edges. And for finding next position from current position, we used dynamic grid. We did direction interpolation for coherence direction. Also using various texture brush, we express the feel of a material effective. We show results of images rendered more realistic oil painting effect, and discuss long-term goals for more effective result.

• The Research Journal of the Costume Culture
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• v.26 no.6
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• pp.934-950
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• 2018

This study suggests a new perspective for designing men's tailored jackets by more carefully considering human muscle structure. For this study, we examined research regarding the construction of the tailored jacket that is based on costume history references, as well as research regarding human muscle structure that is based on human anatomy references and the analysis of recent fashion designs illustrating the human body image. Based on this research, we developed various tailored constructions that account for human muscle structure. These constructions are applied primarily to the backs of four tailored jackets, as the back of the jacket needs a mechanism to accommodate the wearer's movement. The following conclusions have been derived from the study: First, by developing the tailored garment structure that accounts for the muscle structure of the human body, we suggest a new design direction for tailored garments. Second, we propose a new type of tailored jacket structure for the back of the jacket that incorporates an artificial muscle structure to accommodate the wearer's activities. This new type of jacket indicates the potential for designs that use structure, particularly the structure of the human body. Finally, by using the embroidery technique, we changed the texture of the material into the shape of human muscle. Thus, we propose a design that uses three-dimensional volume to accounts for the shape of human body tissue.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.12
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• pp.6000-6017
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• 2018

This paper presents a new descriptor, named Histograms of Prominent Edge Directions (HPED), for the recognition of facial expressions in a person-independent environment. In this paper, we raise the issue of sampling error in generating the code-histogram from spatial regions of the face image, as observed in the existing descriptors. HPED describes facial appearance changes based on the statistical distribution of the top two prominent edge directions (i.e., primary and secondary direction) captured over small spatial regions of the face. Compared to existing descriptors, HPED uses a smaller number of code-bins to describe the spatial regions, which helps avoid sampling error despite having fewer samples while preserving the valuable spatial information. In contrast to the existing Histogram of Oriented Gradients (HOG) that uses the histogram of the primary edge direction (i.e., gradient orientation) only, we additionally consider the histogram of the secondary edge direction, which provides more meaningful shape information related to the local texture. Experiments on popular facial expression datasets demonstrate the superior performance of the proposed HPED against existing descriptors in a person-independent environment.

• Journal of Multimedia Information System
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• v.6 no.2
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• pp.49-60
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• 2019

Plants are very crucial for life on Earth. There is a wide variety of plant species available, and the number is increasing every year. Species knowledge is a necessity of various groups of society like foresters, farmers, environmentalists, educators for different work areas. This makes species identification an interdisciplinary interest. This, however, requires expert knowledge and becomes a tedious and challenging task for the non-experts who have very little or no knowledge of the typical botanical terms. However, the advancements in the fields of machine learning and computer vision can help make this task comparatively easier. There is still not a system so developed that can identify all the plant species, but some efforts have been made. In this study, we also have made such an attempt. Plant identification usually involves four steps, i.e. image acquisition, pre-processing, feature extraction, and classification. In this study, images from Swedish leaf dataset have been used, which contains 1,125 images of 15 different species. This is followed by pre-processing using Gaussian filtering mechanism and then texture and color features have been extracted. Finally, classification has been done using Multiclass-support vector machine, which achieved accuracy of nearly 93.26%, which we aim to enhance further.

• Annual Conference of KIPS
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• 2013.11a
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• pp.1563-1566
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• 2013

최근 네트워크와 멀티미디어 관련 기술의 발달로 이미지 및 동영상과 같은 대용량 멀티미디어 데이터가 증가하고 있다. 이에 따라 대용량의 데이터에서 영상 정보의 효율적인 검색 방법이 요구 되고 있다. 하지만 기존의 전통적인 색인기술은 관리자가 영상을 직접 보면서 적절한 텍스트 내용을 입력하는 방법으로 시간이 많이 소요되며, 관리자의 성향에 따라 색인어의 입력이 다를 수 있어 검색시 오류를 발생시킬 수 있다. 따라서 본 논문에서는 영상으로부터 컬러 특징과 질감 특징을 추출하여 보다 효율적으로 내용 기반 영상 검색을 수행하는 방법을 제안한다. 실험을 통하여 다른 기존의 영상 검색 방법보다 검색 효율성에서 안정적이며 보다 나은 결과를 얻음을 확인한다.