• Title/Summary/Keyword: Texture Image

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A Study of Emotional Consumption Propensity and Preferences for Sensibility Factors of the Fabrics (감성적 소비성향과 패션소재의 감성요소에 대한 선호도 연구)

  • Kim, Yeowon;Choi, Jongmyoung
    • Science of Emotion and Sensibility
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    • v.19 no.3
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    • pp.27-42
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    • 2016
  • The purposes of this study were to investigate the emotional consumption propensity and the preferences for sensibility factors of fabrics(color tone, pattern and texture image), and to analyse the differences according to demographic variables and relationships between emotional consumption propensity and preferences for sensibility factors of fabrics, focusing on male and female consumers in 20's, 30's and 40's. The emotional consumption propensity were classified into symbolic consumption propensity, individual consumption propensity, aesthetic consumption propensity and hedonic consumption propensity. The subjects attached great importance in the order of aesthetic consumption propensity, individual consumption propensity and symbolic consumption propensity. Those factors of emotional consumption propensity showed partially significant difference according to demographic variables. Female consumers preferred various color tones than men did, and preference for light color tone showed significant differences according to gender and occupation of consumers. The preferences for floral pattern showed significant difference according to gender, age, education, occupation and marital status of consumers. The factors of the texture images for the fabrics showed partially significant difference according to demographic variables except education of consumers. There were almost significant relationships between emotional consumption propensity and the preferences for sensibility factors for fabrics.

A Study on the Improvement of Image-Based Water Level Detection Algorithm Using the Region growing (Region growing 기법을 적용한 영상기반 수위감지 알고리즘 개선에 대한 연구)

  • Kim, Okju;Lee, Junwoo;Park, Jinyi;Cho, Myeongheum
    • Korean Journal of Remote Sensing
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    • v.36 no.5_4
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    • pp.1245-1254
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    • 2020
  • In this study, the limitations of the existing water level detection algorithm using CCTV images were recognized and the water level detection algorithm was improved by applying the Region growing technique. It applied three techniques (Horizontal projection profile, Texture analysis, and Optical flow) to estimate the water area, and the results were analyzed in a comprehensive analysis to select the initial water area. The water level was then continuously detected by the Region growing technique, referring to the initial water area. As a result, it was possible to confirm that the exact level of water was detected without being affected by environmental factors compared to the existing level detection algorithm, which had frequent mis-detection phenomena depending on the surrounding environmental factors. In addition, the water level was detected in the video showing flooded roads in urban areas, not in the video of the river. These results are believed to be able to supplement the difficulty of monitoring at all times with limited manpower by automatically detecting the level of water through numerous CCTV footage installed throughout the country, and to contribute to laying the foundation for preventing disasters caused by torrential rains and typhoons in advance.

A Study of Formativeness Expressed in Korean-paper Fashion Design (한지 패션디자인에 표현된 조형성에 관한 연구)

  • 정연자
    • Journal of the Korea Fashion and Costume Design Association
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    • v.6 no.2
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    • pp.103-109
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    • 2004
  • This study attempted to investigate the plasticity of Korean paper expressed in contemporary fashion after general inquiry into Korean paper and examine the aesthetic beauty of fashion design using Korean paper. It used the literature review and empirical data analysis together. Korea-paper fashion design, the object of actual investigation, was for Korean-paper fashion from the 1990s to the present. As a result of analysis, the following findings were obtained: First, the natural, warm and soft texture seen as pureness in Korean paper enables us to elicit naturalness from liberalness. In addition, Korean paper not only has the tough characteristic of its material but also has the natural characteristic of abandoning its original nature and complying and adhering to its a given nature. Korean-paper fashion design, using this natural beauty and frank nature, bears the pure image of excluding decoration. Second, the overlapping of the surface on the surface expressed in Korean-paper fashion design forms one space with the sense of depth because of its transparency and expresses temporality through repetition. And the work of folding it with other materials and pasting them up with together demonstrates the effect of reflection because its original transparency. This effect is the specificity created in the collage technique using Korean paper and is the advantage of coming to obtain a wider freedom of expression. Korean-paper fashion design expresses transparency using this repetition and overlapping, Third, Korean paper has the simple rather than luxurious aspect. Owing to this nature, fashion design looks as if there were the greed inherent behind the work made from Korean paper though the complex technique applied to it. And it expresses the restraint of Korean paper using its original white color, the exclusion of decoration and simple design. Fourth, Korean paper is more likely to be changed by the outside influence because of formation. It has its peculiar aesthetic value and original artistry to an extent that it is regarded as one artistic work. The quality and texture of Korean paper diversely vary according to the artist's working process. Like this, Korean paper is easily fused into some object without exclusivity though it may be added to it. Korean-paper fashion design has the beauty of creation that is to create a new world because Korean paper is fused into another material due to its soft nature.

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Approaching Method for Detecting Vessels in the Korean Waters using the Panchromatic Imagery of IRS-1C Satellite (Panchromatic 위성 자료를 이용한 선박 확인의 접근 기법)

  • Suh, Young-Sang;Choi, Chul-Uong;Lee, Na-Kyung;Kim, Bok-Kee;Jang, Lee-Hyun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.5 no.4
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    • pp.86-92
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    • 2002
  • The feasibility of counting number of small vessels and position in Korean waters using the panchromatic imageries derived from the IRS-1C was tested. The parameters for interpretation of satellite's imageries of small vessels were location(position), size, shape, shadow, tone, texture and pattern, height and depth, situation and association with other vessels. The position of small vessels in the sea without GCP(ground control point) was considered to be inclusive in the satellite imagery with 35 km semi-diameter, denoting rough geographical position of the vessel. The size of vessel was measured by length from stem to stern of the vessel, distinguished by following wave on the surface water. Offshore fishing vessels were separated from merchant ships by their length smaller than 100 m. The shape of vessels on panchromatic imagery of IRS-1C appeared just streamline. In case of clouds which were similar to the shape of small vessels, we were able to distinguish between vessel and cloud by shadow of cloud in the water surface. The tone of sea surface was dark black while small vessel appeared bright white. Small vessel was distinguished from the rough texture of the sea surface and the regular pattern of the waves with white capes when weather was not so good. The situation of the fishing activity was estimated by information of fishing method related to the fishing boat such as the pair trawl in the Yellow Sea.

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The Resolution Effects of the Satellite images on the Interpretability of Geographic Informations - Laying Emphasis on the Interpretability and the Fractal Dimension (위성영상의 해상력에 따른 지리정보의 판독 - 판독가능성과 프랙탈 차원을 중심으로)

  • Kim, Yong-Il;Seo, Byoung-Jun;Ku, Bon-Chul
    • Journal of Korean Society for Geospatial Information Science
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    • v.8 no.2 s.16
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    • pp.61-69
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    • 2000
  • Until now, the extraction of information on geographic features and the compilation of maps from satellite imagery has had many limitations because of its lower resolution compared to aerial photos to the recent. However, it is expected that the availability of high resolution satellite imagery whose spatial resolution is about 1m will reduce such limitations. Currently, a compilation of national-wide digital base maps is going on to construct the National Geographic Information Systems in Korea. It will be used for many application field of the social welfare. Therefore, in this study, we suggest that satellite imagery can help it and we have experimented on the possibility of detecting and interpreting geographic data using satellite imagery of various spatial resolutions. The interpretability and detectability of 46 features in 6 categories was experimented with 6 kinds of images of different resolutions. As a subsequent procedure, we have performed the fractal analysis for a quality test of the texture information. Through the fractal analysis, we could show that texture information and probability of discrimination increases as the spatial resolution of the image increases. Based on the results of this experiment, we could suggest the possibility of the renewal and construction of the National-wide Geographic Information Systems database using satellite imagery, as well as of examining appropriate spatial resolutions for objects of interest.

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A Study on Pre-evaluation of Tree Species Classification Possibility of CAS500-4 Using RapidEye Satellite Imageries (농림위성 활용 수종분류 가능성 평가를 위한 래피드아이 영상 기반 시험 분석)

  • Kwon, Soo-Kyung;Kim, Kyoung-Min;Lim, Joongbin
    • Korean Journal of Remote Sensing
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    • v.37 no.2
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    • pp.291-304
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    • 2021
  • Updating a forest type map is essential for sustainable forest resource management and monitoring to cope with climate change and various environmental problems. According to the necessity of efficient and wide-area forestry remote sensing, CAS500-4 (Compact Advanced Satellite 500-4; The agriculture and forestry satellite) project has been confirmed and scheduled for launch in 2023. Before launching and utilizing CAS500-4, this study aimed to pre-evaluation the possibility of satellite-based tree species classification using RapidEye, which has similar specifications to the CAS500-4. In this study, the study area was the Chuncheon forest management complex, Gangwon-do. The spectral information was extracted from the growing season image. And the GLCM texture information was derived from the growing and non-growing seasons NIR bands. Both information were used to classification with random forest machine learning method. In this study, tree species were classified into nine classes to the coniferous tree (Korean red pine, Korean pine, Japanese larch), broad-leaved trees (Mongolian oak, Oriental cork oak, East Asian white birch, Korean Castanea, and other broad-leaved trees), and mixed forest. Finally, the classification accuracy was calculated by comparing the forest type map and classification results. As a result, the accuracy was 39.41% when only spectral information was used and 69.29% when both spectral information and texture information was used. For future study, the applicability of the CAS500-4 will be improved by substituting additional variables that more effectively reflect vegetation's ecological characteristics.

A Scenery Word of Pine Tree Extracted in Choi Myoung Hee's Novel 『Honbul』 (최명희의 소설 『혼불』에서 추출한 소나무의 경관언어)

  • Rho, Jae-Hyun;Kim, Hwa-Ok;Park, Yool-Jin
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.32 no.4
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    • pp.61-72
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    • 2014
  • Throughout analyzing and construing the words, contexts, and expressive languages used for depicting the pine tree in the novel "Honbul" written by Choi, Myung-Hee the symbolism of the pine and folksy languages used for scenery can be condensed as written below: First, it is explicit that the scenery-words for illustrating the pine tree in "Honbul" are emerged through diverse means methods and expressions. Namely, the reference forms of the pine tree and the expressive means of utilizing words portrays the use of the pine are various and subdivided. Second, the scenery-words found in vocabularies and the contexts of "Honbul" imply various symbolic representation. They not only perform to describe inherent image and symbolism of the pine, but they work for reifying the image of "Honbul" in the narrative structure in "Honbul" as being intrinsic scenery-word. Third, the scenery-words used for expressing aesthetics emerge as synesthetic expressions through the linear beauty and the texture of the pine as well as through five-senses. Forth, on the basis of the inherent symbolism and the image of the pine, the landscape of the background described in "Honbul" deems as a symbolic backdrop. As with then narrative structure of the novel, the pine tree performs as a mediation of the heaven and the earth, god and man, as well as the sacred and the secular. Fifth, scenery-words used for depicting the pine tree are a symbol that represents the spirit and emotion of the character in the novel. Moreover, it is a tool for pursuing the personification of the nature, the deification of the object, and the cosmos of the space. It is also utilized as a device that definitize the ideational image applied to express the landscape of the background of the novel. As mentioned above, the expressions, vocabularies and textures about pine tree represented from "Honbul" are expected to be the beginning of understanding the landscape-images and landscape-languages of pine in not only the setting for this novels, Namwon but also the entire districts of Korea.

Displacement mapping using an image pyramid based multi-layer height map (이미지 피라미드 기반 다층 높이 맵을 사용한 변위 매핑 기법)

  • Chun, Young-Jae;Oh, Kyoung-Su
    • Journal of the Korea Computer Graphics Society
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    • v.14 no.3
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    • pp.11-17
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    • 2008
  • Many methods which represent complex surfaces using height map without a number of vertex have been researched. However, a single layer height map cannot present more complex objects because it has only one height value on each position. In this paper, we introduce the new approach to render more complex objects, which are not generated by single layer height map, using multi layer height map. We store height values of the scene to each texture channel by the ascending order. A pair of ordered height values composes a geometry block and we use this property. For accurate ray search, we store the highest value in odd channels and the lowest value in even channels to generate quad tree height map. Our ray search algorithm shows accurate intersections between viewing ray and height values using quad tree height map. We solve aliasing problems on grazing angles occurred in previous methods and render the result scene on real-time.

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The 3D Depth Extraction Method by Edge Information Analysis in Extended Depth of Focus Algorithm (확장된 피사계 심도 알고리즘에서 엣지 정보 분석에 의한 3차원 깊이 정보 추출 방법)

  • Kang, Sunwoo;Kim, Joon Seek;Joo, Hyonam
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.2
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    • pp.139-146
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    • 2016
  • Recently, popularity of 3D technology has been growing significantly and it has many application parts in the various fields of industry. In order to overcome the limitations of 2D machine vision technologies based on 2D image, we need the 3D measurement technologies. There are many 3D measurement methods as such scanning probe microscope, phase shifting interferometry, confocal scanning microscope, white-light scanning interferometry, and so on. In this paper, we have used the extended depth of focus (EDF) algorithm among 3D measurement methods. The EDF algorithm is the method which extracts the 3D information from 2D images acquired by short range depth camera. In this paper, we propose the EDF algorithm using the edge informations of images and the average values of all pixel on z-axis to improve the performance of conventional method. To verify the performance of the proposed method, we use the various synthetic images made by point spread function(PSF) algorithm. We can correctly make a comparison between the performance of proposed method and conventional one because the depth information of these synthetic images was known. Through the experimental results, the PSNR of the proposed algorithm was improved about 1 ~ 30 dB than conventional method.

Efficient Label Placement using Overlap-free Region and Background Analysis (중첩 자유 영역과 배경 분석을 이용한 효율적인 라벨 배치)

  • Lee, San-Won;Jeong, Seung-Do;Choi, Byung-Uk
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.43 no.6 s.312
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    • pp.85-96
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    • 2006
  • This paper deal with a method for efficient placing 2 dimensional virtual labels on the view plane. The proposed method has suitable computational costs for realtime processing and it overcomes the local minima problem which is not solved in previous automatic label placement algorithms, and also it enhances readability by placing labels in less congestion area on the view plane. Background analysis must be considered for label placement. However previous works do not concern with this problem seriously. And furthermore, automatic label placement algorithm and background analysis algorithm have been studied separately in their own field. This paper proposed the background analysis method using background color and texture component to enhance readability, and it is the first research about analyzing the background of color image and applying it in automatic label placement field. This paper shown improved placement performance through combining automatic label placement algorithm and background analysis algorithm organically, and various experiments verified it.