• Title/Summary/Keyword: Complex Images

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Curtain Wall Façades on the New Generation of Supertall Buildings Present and Future Directions

  • Oh, Sae Hwang
    • International Journal of High-Rise Buildings
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    • v.9 no.2
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    • pp.113-125
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    • 2020
  • Beginning in the late 19th century, construction of skyscrapers spread throughout Chicago, New York City, and then the world as demand of space in buildings and increase of cost of land. With this change curtain wall systems have evolved to be more visually complex; these unique profiles of the skyscraper became powerful images and symbols of our cities. A curtain wall is defined as usually aluminum-framed wall containing in-fills of glass and metal panels. The framing is attached to the building structure and does not carry the floor or roof loads of the building.

Adaptive Image Segmentation Based on Histogram Transition Zone Analysis

  • Acuna, Rafael Guillermo Gonzalez;Mery, Domingo;Klette, Reinhard
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.16 no.4
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    • pp.299-307
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    • 2016
  • While segmenting "complex" images (with multiple objects, many details, etc.) we experienced a need to explore new ways for time-efficient and meaningful image segmentation. In this paper we propose a new technique for image segmentation which has only one variable for controlling the expected number of segments. The algorithm focuses on the treatment of pixels in transition zones between various label distributions. Results of the proposed algorithm (e.g. on the Berkeley image segmentation dataset) are comparable to those of GMM or HMM-EM segmentation, but are achieved with significantly reduced computation time.

Region-based Face Makeup using two example face images (두 가지 예제 이미지를 이용한 얼굴 영역 별 메이크업)

  • Lee, Jae-Yoon;Kang, Hang-Bong
    • Journal of Korea Multimedia Society
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    • v.18 no.9
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    • pp.1019-1026
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    • 2015
  • In this paper, we propose a new method of eye, face, and lip makeup techniques on the target face image from several makeup examples without losing detail features such as eyelids, eyebrows, hair. After detection of the feature layer for the skin, we applied our makeup techniques to the target face by using a blending technique. We used a cartoon rendering using bilateral filter. In order to smoothly makeup the target face, we created two Gaussian Weight maps for natural skin makeup effects. Our method did not need to perform complex operations, so the makeup results are so natural. Our experimental results show good performances in various makeups.

A Polymer Interface for Varying Electron Transfer Rate with Electrochemically Formed Gold Nanoparticles from Spontaneously Incorporated Tetrachloroaurate(III) Ions

  • Song, Ji-Seon;Kang, Chan
    • Bulletin of the Korean Chemical Society
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    • v.28 no.10
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    • pp.1683-1688
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    • 2007
  • This paper presents a novel simple method for introducing gold nanoparticles in a poly(4-vinylpyridine) (PVP) polymer layer over a glassy carbon (GC) electrode with the aim of forming a tunable electrochemical interface against a cationic ruthenium complex. Initially, AuCl4 ? ions were spontaneously incorporated into a polymer layer containing positively charged pyridine rings in an acidic media by ion exchange. A negative potential was then applied to electrochemically reduce the incorporated AuCl4 ? ions to gold nanoparticles, which was confirmed by the FE-SEM images. The PVP layer with an appropriate thickness over the electrode blocked electron transfer between the electrode and the solution phase for the redox reactions of the cationic Ru(NH3)6 2+ ions. However, the introduction of gold nanoparticles into the polymer layer recovered the electron transfer. In addition, the electron transfer rate between the two phases could be tuned by controlling the number density of gold nanoparticles.

ISAR Imaging of Airplane-like Targets by Matrix Pencil Method (Matrix Pencil 방법에 의한 비행기 모형의 ISAR 영상화)

  • 유지희;권경일;이용희
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.12 no.2
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    • pp.299-307
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    • 2001
  • This paper presents a experimental study of Inverse Synthetic Aperture Radar(ISAR) imaging using Matrix Pencil(MP) method. A series of measurement for two types of target model was done in a Compact Range(CR)facility. The first target is a set of distributed slim cylinders to get a ISAR image of point-like scatterers. The second is UAV model representing a complex real target. The results show that ISAR images by MP method are better than by conventional FFT method under the realistic measurement conditions.

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Automatic Contour Extraction for Multiple Objects in the Images with Complex Background (복잡배경에서 다중 물체 윤곽선의 자동 검출)

  • 최재혁;서경석;박은진;최홍문
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.891-894
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    • 2001
  • 본 논문에서는 NTGST (noise·tolerant generalized symmetry transform)와 snake를 이용하여 복잡배경으로부터 여러 물체의 윤곽선을 동시에 검출하는 방법을 제안하였다. 먼저 NTCST의 대칭도 맵(symmetry map)을 이용하여 복잡한 배경에 혼재하는 여러 물체들의 위치를 찾은 다음, 이들 각 물체에 snake의 초기 윤곽들을 자동 설정해 줌으로써 기존 snake 알고리즘의 초기 윤곽 설정의 어려움과 다중 물체 윤곽선 검출의 어려움을 동시에 해결하였다. 이때 NTGST의 대칭도 맵으로부터 설정된 snake의 초기 윤곽은 실제 물체의 윤곽선 가까이에 위치할 뿐만 아니라 물체의 형태를 잘 반영하므로 요철이 있는 물체의 윤곽선도 기존의 방법보다 적은 반복횟수로 정확하게 검출 할 수 있다. 다양한 합성 영상과 실영상에 적용한 결과 복잡배경으로부터도 다중 물체의 윤곽선을 효과적으로 추출함을 확인하였다.

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An Effective Face Detection for the Images with the Complex Backgrounds Using NTGST (복잡배경의 영상에서 NTGST를 이용한 효과적인 얼굴 검출)

  • 이재근;김종화;서경석;박은진;최흥문
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.147-150
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    • 2001
  • 본 논문에서 는 NTGST(noise-tolerant generalized symmetry transform)[1]를 이용하여 복잡배경 영상으로부터 효과적으로 여러 얼굴을 검출할 수 있는 알고리즘을 제안하였다. 먼저 NTGST를 이용하여 얼굴이 존재할 가능성이 있는 관심영역(region of interest: ROI)을 찾고, 각각의 관심영역 내에서 얼굴의 주된 특징인 눈, 코, 입을 부각시킨 Fovea 영상으로부터 대칭변환의 국부 최대치(local maximum)를 구한다음, 이들간의 관계를 기하학적 상관 관계로 분석 확인함으로써 사람 얼굴만을 검출 하도록 하였다. 여러 얼굴을 포함하는 복잡한 배경 영상에 대해 제안한 알고리즘을 적용한 결과 89.7%의 검출율을 얻을 수 있었다.

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Face Extraction using Genetic Algorithm, Stochastic Variable and Geometrical Model (유전 알고리즘, 통계적 변수, 기하학적 모델에 의한 얼굴 영역 추출)

  • 이상진;홍준표이종실홍승홍
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.891-894
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    • 1998
  • This paper introduces an automatic face region extraction method. This method consists of two part: face recognition and extraction of facial organs which are eye, eyebrow, nose and mouth. In first stage, we use genetic algorithms(GAs) to get face region in complex background. In second stage, we use Geometrical Face Model to textract eye, eyebrow, nose and mouth. In both stage, stochastic component is used to deal with the problems caused by had lighting condition. According to this value, blurring number is determined. Average Computation time is less than 1 sec, and using this method we can extract facial feature efficiently from several images which has different lightning condition.

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The Evaluation of Carotid Artery Stenosis Using Spiral CT. (Spiral CT를 이용한 경동맥 질환의 평가)

  • Yoon, Hee-Suk;Hwang, Yun-Chean;Shin, Hyun-Kil;Beak, Cheon-Ki;Yoon, Suck-Min
    • Journal of radiological science and technology
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    • v.19 no.2
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    • pp.45-49
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    • 1996
  • To determine the utility of spiral computed tomography(CT) in the evaluation of carotid artery stenosis, spiral CT images of 10 patients were compared with both ones of conventional angiography and magnetic resonance(MR) angiography. The severeness of stenosis was determined for each Internal carotid artery on the basis of arterial narrowness : mild stenosis : 40 % or less, moderate stenosis = $40{\sim}70%$, severe stenosis = greater than 70 % of arterial narrowness. The short examination and clear depiction of the arterial lumen In areas of complex or low flow make CT angiography attractive alternative to MR angiography. Spiral CT angiography shows normal and abnormal carotid anatomy well when compared with conventional anglography.

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A Study on Chlorophyll Estimating Algorithm in Kwangyang bay Using Satellite Images

  • Jo, Myung-Hee;Suh, Young-Sang;Kim, Byoung-Suk
    • Proceedings of the KSRS Conference
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    • 1999.11a
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    • pp.249-255
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    • 1999
  • Water pollution is becoming a serious problem in the populous cities and coastal areas near industrial complex. Sometimes, phytoplankton is considered as the most important element in the coastal environment. Phytoplankton is easily estimated by measuring chlorophyll content in the laboratory. In this study, to build up estimating algorithm of the chlorophyll amount related to the monitoring of coastal environments in Kwangyang bay, the correlationship the respective in situ observed data with Landsat TM and SeaWiFS satellite Image was analyzed. It showed that Landsat TM band 3 image has the highest correlationship with observed data, and based upon this result the monitoring algorithm of chlorophyll in coastal area was extracted. This algorithm will be an important for extracting and controlling environment elements in coastal areas in the future. And it has a significant meaning that it has established a spatial data construction in which satellite image alone could monitor the coastal environment.

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