• 제목/요약/키워드: Image pattern analysis

검색결과 771건 처리시간 0.03초

국내 커피전문점의 유니폼 디자인 분석 (An Analysis of Uniform Design about Domestic Coffee Houses)

  • 이은실;김선영
    • 한국생활과학회지
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    • 제23권5호
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    • pp.843-859
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    • 2014
  • The purpose of this study is to find the differences among the clothing brands through examination of present situation about uniform design in domestic coffee houses and provide the basic materials in developing uniform designs to reflect the brand identity. For research contents and method, the overall circumstances were examined about the domestic coffee houses and their uniforms at large via literature review. Then, characteristics on their 10 uniform designs were reviewed according to item, color, pattern and accessary. The following are results. First, cardigan, cap, and necktie according to the individual brand are added with basis of shirt and apron in composition of coffeehouse's uniform. Second, in cardigan, those colors including black, navy and brown are used, reminding of the coffee. Brand logo or symbol is also presented on it, which addresses the brand image. Third, the kind of shirt consists mainly with long or short shirt blouse and long sleeve or short sleeve pique shirt. Job title or gender differentiates the shape and color. Fourth, one-piece type is commonly applied for the apron. At the same time, a short skirt is put on as well. An image expression is often found by the unique brand color also, but mostly, some dark tones like brown or black are largely used. Fifth, in cap, various kinds are worn including the cap as in the case of baseball, fedora, beret, and hunting cap. In color, black or brown color same to that of apron is common, which fails to show differentiation. Thus, consideration of color remix with application of brand symbol is thought to be an alternative to this.

다관절 유영로봇에 적용하기 위한 물방개의 유영패턴 분석 (Swimming pattern analysis of a Diving beetle for Aquatic Locomotion Applying to Articulated Underwater Robots)

  • 김희중;이지홍
    • 로봇학회논문지
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    • 제7권4호
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    • pp.259-266
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    • 2012
  • In these days, researches about underwater robots have been actively in progress for the purposes of ocean detection and resource exploration. Unlike general underwater robots such as ROV(Remotely Operated Vehicle) and AUV(Autonomous Underwater Vehicle) which have propellers, an articulated underwater robot which is called Crabster has been being developed in KORDI(Korea Ocean Research & Development Institute) with many cooperation organizations since 2010. The robot is expected to be able to walk and swim under the sea with its legs. Among many researching fields of this project, we are focusing on a swimming section. In order to find effective swimming locomotion for the robot, we approached this subject in terms of Biomimetics. As a model of optimized swimming organism in nature, diving beetles were chosen. In the paper, swimming motions of diving beetles were analyzed in viewpoint of robotics for applying them into the swimming motion of the robot. After modeling the kinematics of diving beetle through robotics engineering technique, we obtained swimming patterns of the one of living diving beetles, and then compared them with calculated optimal swimming patterns of a robot leg. As the first trial to compare the locomotion data of legs of the diving beetle with a robot leg, we have sorted two representative swimming patterns such as forwarding and turning. Experimental environment has been set up to get the motion data of diving beetles. The experimental equipment consists of a transparent aquarium and a high speed camera. Various swimming motions of diving beetles were recorded with the camera. After classifying swimming patterns of the diving beetle, we can get angular data of each joint on hind legs by image processing software, Image J. The data were applied to an optimized algorithm for swimming of a robot leg which was designed by robotics engineering technique. Through this procedure, simulated results which show trajectories of a robot leg were compared with trajectories of a leg of a diving beetle in desired directions. As a result, we confirmed considerable similarity in the result of trajectory and joint angles comparison.

Automatic Person Identification using Multiple Cues

  • Swangpol, Danuwat;Chalidabhongse, Thanarat
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.1202-1205
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    • 2005
  • This paper describes a method for vision-based person identification that can detect, track, and recognize person from video using multiple cues: height and dressing colors. The method does not require constrained target's pose or fully frontal face image to identify the person. First, the system, which is connected to a pan-tilt-zoom camera, detects target using motion detection and human cardboard model. The system keeps tracking the moving target while it is trying to identify whether it is a human and identify who it is among the registered persons in the database. To segment the moving target from the background scene, we employ a version of background subtraction technique and some spatial filtering. Once the target is segmented, we then align the target with the generic human cardboard model to verify whether the detected target is a human. If the target is identified as a human, the card board model is also used to segment the body parts to obtain some salient features such as head, torso, and legs. The whole body silhouette is also analyzed to obtain the target's shape information such as height and slimness. We then use these multiple cues (at present, we uses shirt color, trousers color, and body height) to recognize the target using a supervised self-organization process. We preliminary tested the system on a set of 5 subjects with multiple clothes. The recognition rate is 100% if the person is wearing the clothes that were learned before. In case a person wears new dresses the system fail to identify. This means height is not enough to classify persons. We plan to extend the work by adding more cues such as skin color, and face recognition by utilizing the zoom capability of the camera to obtain high resolution view of face; then, evaluate the system with more subjects.

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Cone beam CT를 이용한 비글견 발치창 치유과정에 대한 방사선학적 연구 (Radiologic study of the healing process of the extracted socket of beagle dogs using cone beam CT)

  • 최동훈;이완;김대석;이병도
    • Imaging Science in Dentistry
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    • 제39권1호
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    • pp.19-25
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    • 2009
  • Purpose: To longitudinally observe the healing process of extracted socket and the alterations of the residual ridge in healthy adult dogs using cone beam CT (CBCT). Materials and Methods: The mandibular premolars of two beagle dogs were removed and the extraction sites were covered with the gingival tissue. CBCTs (3D X-ray CT scanner, Alphard vega, Asahi Co.) were taken at baseline and at 1 week interval for 12 weeks. Radiographic density of extracted wounds was measured on normalized images with a custom-made image analysis program. The amount of alveolar crestal resorption after the teeth extraction was measured with a reformatted three-dimensional image using CBCT. Bony healing pattern of extracted wound of each group was also longitudinally observed and analyzed. Results: Dimensional changes occurred during the first 6 weeks following the extraction of dogs' mandibular premolars. The reduction of the height of residual ridge was more pronounced at the buccal than at the lingual aspect of the extraction socket. Radiographic density of extracted wounds increased by week 4, but the change in density stabilized after week 6. New bone formation was observed at the floor and the peripheral side of extracted socket from week 1. The entrance of extracted socket was sealed by a hard-tissue bridge at week 5. Conclusion: The healing process of extracted wound involved a series of events including new bone formation and residual ridge resorption.

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의료 영상처리에서의 물리적 이론을 활용한 객체 유효 인식 방법 (Effective Object Recognition based on Physical Theory in Medical Image Processing)

  • 은성종;황보택근
    • 한국콘텐츠학회논문지
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    • 제12권12호
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    • pp.63-70
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    • 2012
  • 의료 영상처리 분야에서의 일반적인 객체 인식 방법은 영역 분할 알고리즘을 기반으로 처리되어진다. 컴퓨팅 분야에서의 이러한 영역 분할 알고리즘은 대부분 밝기 정보, 형태 정보, 패턴 분석 등 다양한 입력정보의 컴퓨팅 처리를 통해 처리된다. 그러나 이러한 컴퓨팅 방법으로는 앞서 언급된 입력 정보들이 의미가 없을 경우, 영역 분할에 많은 제약이 따르게 된다. 따라서 본 논문은 이러한 컴퓨팅 처리의 근본적인 제약사항을 해결하고자, MR 이론의 R2-map 정보 기반의 효과적인 영역 분할 방법은 제안하였다. 본 방법은 간 영역이 포함된 영상에서 실험하였으며, R2-map의 특징점들을 2차원 영역성장법의 씨앗점으로 설정한 후, 검출된 영역의 최종 경계선 보정작업을 통해 경계가 모호하더라도 영역 분할이 가능하게끔 하였다. 해당 영상의 실험 결과, 평균 7.5%의 평균 영역 차이로 기존의 대표 영역 분할 알고리즘에 비해 높은 정확도가 산출되었다.

디지털 방사선 영상에서 그리드 왜곡의 포화 특성에 관한 연구와 적응 필터링에 기초한 제거 (Analysis on the Saturation of Grid Artifact and its Reduction in Digital Radiography Images Based on the Adaptive Filtering)

  • 김동식;이상균
    • 대한전자공학회논문지SP
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    • 제48권4호
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    • pp.1-11
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    • 2011
  • 산란선을 흡수하여 보다 선명한 x선 영상을 얻기 위하여 산란방지 그리드를 사용하여 투사영상을 얻는데, 이때 그리드 패턴으로 인한 왜곡이 발생하며, 디지털 필터를 사용하여 제거할 필요가 있다. 그런데 x선에 대하여 과하게 노출되어 영상디텍터에서 포화된 영상이 형성되는 경우에는 그리드 왜곡의 제거가 잘되지 않는다. 본 논문에서는, 보다 효율적으로 그리드 왜곡을 제거하기 위하여 x선 영상 형성에서 노출량에 따른 특성을 포화 현상까지 포함하여 분석하였다. 포화가 되기 시작하면 그리드 왜곡 성분의 최대 크기가 오히려 줄어들고 대역폭은 넓어지는 특성을 관찰할 수 있었다. 또한 왜곡 성분의 중요신호대역폭 (significant-signal bandwidth)을 측정하여 필터의 대역폭을 결정하여 그리드 왜곡을 효율적으로 줄일 수 있는 적응 필터링 알고리듬을 제안하였다. 실제 x선 디지털 영상에 대한 실험을 통하여 제안한 알고리듬이 효율적으로 그리드 왜곡을 제거할 수 있음을 확인하였다.

치과진료 정책에 관한 주관성 연구 -치과 관련 전공자 중심으로- (Subjectivity about Policy of Dental Treatment)

  • 이제영;정미애
    • 한국콘텐츠학회논문지
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    • 제12권1호
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    • pp.386-399
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    • 2012
  • 본 논문에서는 해당 실무자들이 본 치과진료 정책에 관한 주관성을 진단하고, 기능적인 측면에서 세부적인 유형적 효과요인들을 확인하여 향후 개선과 방향성을 알아보고자 한다. 이 논문에서는 치과의사, 치과 위생사, 전공대학생들, 즉 해당 실무자와 전공자들의 주관적 성향을 살펴보기 위해서 Q방법론을 이용하였다. 분석된 결과, 총 6가지의 유형, 즉, 제 1유형[(N=11) : 확대 정책형(Extension Policy Type)], 제 2유형 [(N=13) : 제도적 개선형(Institutional Improvement Type)], 제 3유형[(N=5) : 이미지 개선형(Image Improvement Type)], 제 4유형[(N=14) : 치료 중심형(Treatment Focus Type)], 제 5유형[(N=5) : 효율적 접근형(Efficient Access Type)], 제 6유형[(N=10) : 발전적 요구형(Developmental Demand Type)] 등으로 분류되었다. 또한 QUANL 프로그램을 실시해 본 결과, 전체변량의 약 28(0.2791)%를 설명하였다. 결과적으로, 앞으로 계량적인 실증적 연구와 소비자들의 의견을 종합한 비교와 대안책이 추가된다면, 치과의사, 치과위생사, 전공대학생들의 주관성에 관한 보다 심도 있는 연구결과가 제시될 수 있을 것으로 예상된다. 또한, 이러한 연구의 한계를 보완하는 후속연구가 지속적으로 진행되어지기를 기대한다.

수차 모형 배열을 이용한 표적추정 (Focused) 빔형성기 성능분석 (Analysis of Performance of Focused Beamformer Using Water Pulley Model Array)

  • 최주평;이원철
    • 한국음향학회지
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    • 제20권5호
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    • pp.83-91
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    • 2001
  • 본 논문은 수중환경에서 비교적 근거리에 위치해 있는 목표물에서 방사되는 광대역 음원신호를 취득하여 목표물의 위치를 탐지하기 위한 표적추정 (Focused) 빔 형성 기법을 제안한다. 표적추정 (Focused) 빔 형성기 기법은 배열 센서를 사용하여 구면파 형태로 입사되는 방사 신호들의 각 센서로의 상이한 전달 지연 시간 성분들을 고려하여 센서 출력 신호들을 일정 시간 구간 동안 코히어런트하게 합해 줌으로써 목표물의 위치를 판단하게 된다. 이때 견인함의 이동에 의해 배열 센서의 형태가 시간적으로 변화하게 되며, 가상의 셀들로 분리된 이미지 공간상에서 각 셀과 배열 센서간의 기하학적인 구조 분석에 의해 계산된 시간 지연 값들을 이용하여 표적추정(Focused) 빔 형성 과정을 거친 최종적인 3차원 빔 패턴 출력을 얻게 된다. 본 논문에서는 컴퓨터 시뮬레이션을 통하여 N차 다항식 (polynomial) 근사법을 이용한 실제 수차 모형 배열 형태 추정을 하였으며 생성된 가상의 수차 모형 배열을 이용하여 각각의 주파수 대역에 따른 광대역 목표물에 대한 추정 성능을 분석하여 보았다.

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영상의 전역 특징과 이동객체의 지역 특징을 융합한 움직임 디스크립터 설계 (A motion descriptor design combining the global feature of an image and the local one of an moving object)

  • 정병만;이규원
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2012년도 추계학술대회
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    • pp.898-902
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    • 2012
  • 실시간으로 입력되는 영상으로부터 이동객체의 움직임 특징을 이용하여 움직임 분석에 적합한 디스크립터를 제안한다. 배경과 이동객체를 분리하기 위하여 배경학습을 행한다. 연속적으로 추출된 이동객체의 1차 모멘트를 이용하여 각 객체별로 이동 궤적을 추출한다. 연결 리스트를 이용하여 객체별로 추출된 1차 모멘트를 관리한다. 디스크립터는 격자 형태로 미리 지정된 9개의 지점 근방에 포함되는 이동객체의 1차 모멘트 좌표와 객체가 화면에 출현하는 시작 프레임 번호, 화면에서 사라지는 마지막 프레임 번호로 구성된다. 제안하는 전역 및 지역 특징융합 디스크립터에 의한 비디오 검색은 둘 중 하나의 특징을 사용하는 기존의 방법에 비하여 효과적임을 확인하였다.

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2000년 이후 패션디자인에 나타난 인도 전통 복식 (Indian Traditional Clothing in Fashion Design of the 21st Century)

  • 최호정
    • 복식
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    • 제56권9호
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    • pp.127-142
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    • 2006
  • In this study, I have analyzed Indian traditional clothing in fashion design of 21st century by comparing 1,286 fashion items designed by Indian designers and 722 Western fashion items, which were presented from 2000 S/S to 2005 F/W Formal analysis were made for change in how to wear clothes, and change in items and ornaments. Change of traditional clothing was found in two ways; Western elements added to Indian tradition and Indian traditional image adopted in Western clothing. First, Indian traditional elements added to Western clothing in the formal aspect was found in 83% of Western collections and 27.2% of the Indian designers' collections. In Indian designers' collections, traditional clothing form takes 72.8%, which shows the regional characteristics of India where the traditional clothing is still adhered to in daily life especially by women. Second, from the fashion design of the Indian designers, we can find modernization of sari, change of traditional items into more active and modern way by adding Western clothing; change of form, color and material of traditional items in various ways; and decorative aspects highlighted by adding Indian traditional color, pattern or decoration into Western clothing. In most cases, Western collections are seasoned with Indian traditional image, rather than utilizing the form of Indian clothing. Although adopting the farm of Indian traditional clothing, it can be considered as a translation from the viewpoint of the West. Third, Indian look is expressed in various ways by reproducing Indian traditional ornaments such as earings, bracelets and henna, or by adopting Indian traditional fabric design and decoration in mufflers, bags and etc.