• Title/Summary/Keyword: color images

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A Study on Tracking and Quantitative Analysis of Regional Left Ventricular Wall Motion in Echocardiography (심초음파에서 국소 좌심실벽 운동 추적 및 정량적 분석에 관한 연구)

  • 신동규;김동윤;최경훈;박광훈
    • Progress in Medical Physics
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    • v.10 no.3
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    • pp.115-123
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    • 1999
  • The two dimensional echocardiography is widely used to evaluate regional wall motion abnormality, because of its abilities to depict left ventricular wall motion. A number of researches have been processed for evaluation and quantitative analysis of left ventricular wall motion functions. In this paper, we proposed an algorithm which detects automatically and analyze quantitatively endocardial wall motion during systole. The echocardiograms were obtained in the short-axis views in normal subjects. Automated edge detection and endocardial contour tracking algorithm was applied to each frames, quantitative analysis based on segmentation was performed, pre-defined color overlays superimposed on the gray scale images, and the images was animated. The proposed algorithm provided automated, quantitative diagnosis of regional wall motion abnormality.

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An Analysis of Night and Day Images of Bridges Over the Han River in Seoul (서울시 한강교량 주야간 경관이미지 분석)

  • 서주환;최현상;차정우
    • Journal of the Korean Institute of Landscape Architecture
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    • v.30 no.5
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    • pp.31-38
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    • 2002
  • This study attempts to grasp the correlation between the image of bridges and bridge landscapes with their surroundings during day and nighttime viewing, and to understand the psychological influence of nighttime lighting through quantitative analysis. In addition, it presents a design to construct bridges in order to increase viewers enjoyment of bridge landscapes lit at night. To attain this objective and contrive generalization of the results, this paper selects 8 of 9 bridges with lightings in Seoul and excludes bridges constructed by 2004. The criteria for selection of the viewpoints is that each must be within easy reach of bridges, and must allow viewers to recognize surrounding landscape details both in daylight and at night. As well, the pictures of bridges are taken in the terraced land by the riverside. The study selects 16 pictures, judged to be of similar quality and angle, to establish the conditions of luminosity, color, definition and angle. The results are as follows. First, viewers preferences of night landscapes are higher than day landscapes due to the effect of lighting. By day, viewers preferred bridges with various structures such as cable-stayed bridges and arch bridges more than simple bridges like girder bridges. Viewers also indicated preferences for lightings which feature a unique color and which are harmonized with their surroundings. Second, components representing the images of bridge landscape are classified into three types, 'beauty', 'system' and 'agreeableness'. Third, the factors affecting preference are the shape of bridge by day and lighting at night. Esthetic appeal is the most important factor in visual preference so each bridges own esthetic appeal and surroundings must be considered. Thus, a complete plan must be created which considers safety, beauty and the local surroundings. In addition, when the lighting of a bridge is selected, the design of the bridge landscape must consider various lighting schemes to harmonize the upper and lower parts of the structure. At this point, the study reveals the basic elements of bridge planning in order to increase appreciation of the bridge landscape.

Fire-Smoke Detection Based on Video using Dynamic Bayesian Networks (동적 베이지안 네트워크를 이용한 동영상 기반의 화재연기감지)

  • Lee, In-Gyu;Ko, Byung-Chul;Nam, Jae-Yeol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.4C
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    • pp.388-396
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    • 2009
  • This paper proposes a new fire-smoke detection method by using extracted features from camera images and pattern recognition technique. First, moving regions are detected by analyzing the frame difference between two consecutive images and generate candidate smoke regions by applying smoke color model. A smoke region generally has a few characteristics such as similar color, simple texture and upward motion. From these characteristics, we extract brightness, wavelet high frequency and motion vector as features. Also probability density functions of three features are generated using training data. Probabilistic models of smoke region are then applied to observation nodes of our proposed Dynamic Bayesian Networks (DBN) for considering time continuity. The proposed algorithm was successfully applied to various fire-smoke tasks not only forest smokes but also real-world smokes and showed better detection performance than previous method.

A Study on the 3D Shape Reconstruction Algorithm of an Indoor Environment Using Active Stereo Vision (능동 스테레오 비젼을 이용한 실내환경의 3차원 형상 재구성 알고리즘)

  • Byun, Ki-Won;Joo, Jae-Heum;Nam, Ki-Gon
    • Journal of the Institute of Convergence Signal Processing
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    • v.10 no.1
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    • pp.13-22
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    • 2009
  • In this paper, we propose the 3D shape reconstruction method that combine the mosaic method and the active stereo matching using the laser beam. The active stereo matching method detects the position information of the irradiated laser beam on object by analyzing the color and brightness variation of left and right image, and acquires the depth information in epipolar line. The mosaic method extracts feature point of image by using harris comer detection and matches the same keypoint between the sequence of images using the keypoint descriptor index method and infers correlation between the sequence of images. The depth information of the sequence image was calculated by the active stereo matching and the mosaic method. The merged depth information was reconstructed to the 3D shape information by wrapping and blending with image color and texture. The proposed reconstruction method could acquire strong the 3D distance information, and overcome constraint of place and distance etc, by using laser slit beam and stereo camera.

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A Preliminary Study on the Roles of Fe Content and Neoformed Ca-rich Minerals in the Coloration of Ceramic Glazes

  • Lee, Min Hye;Han, Min Su;Kim, Ji Hye
    • Journal of Conservation Science
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    • v.36 no.4
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    • pp.275-283
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    • 2020
  • Iron oxides are the essential coloring oxides in traditional ceramic glazes. However, when Fe is involved in the coloration in the form of ions or colloids in glazes with low Fe content, it is difficult to identify the iron oxide phases. Generally, in many these glazes, Ca-rich minerals are observed by X-ray diffraction (XRD) or microscopic images, owing to their devitrification by the high Ca content. This study attempts to elucidate the correlation between the crystalline structure and coloration in the glazes while mainly focusing on neoformed Ca-rich minerals and Fe content. An experimental firing was carried out to produce tree ash glazes, with pine tree ash and Buyeo feldspar. In the case of oxidation glazes, the scanning electron microscopy (SEM) images and XRD patterns did not exhibit any Ca-rich crystals, and all the visible light reflectance spectra lines exhibited a similar shape. In contrast, the reduction glazes divided into blue glazes and other colored glazes according to the shapes of their reflectance spectra. It was confirmed that the influence of Ca-rich minerals on the glaze color was more pronounced than the blue color of the reduction glazes when the Ca and feldspar contents were sufficiently high and low, respectively, to form wollastonite. As the Ca content increased and the elemental composition of the reduction glazes changed, the neoformation of the Ca-rich minerals, such as wollastonite, anorthite, diopside, and akermanite was sequentially observed.

THE KOMPSAT- I PAYLOADS OVERVIEW

  • Paik, Hong-Yul;Park, Gi-Hyuk;Youn, Hyeong-Sik;Lee, Seunghoon;Woo, Sun-Hee;Shim, Hyung-Sik;Oh, Kyoung-Hwan;Cho, Young-Min;Yong, Sang-Soon;Lee, Sang-Gyu;Heo, Haeng-Pal
    • Proceedings of the KSRS Conference
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    • 1998.09a
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    • pp.301-306
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    • 1998
  • Korea Aerospace Research Institute (KARI) is developing a Korea Multi-Purpose Satellite I (KOMPSAT-I) which accommodates Electro-Optical Camera (EOC), Ocean Scanning Multi-spectral Imager (OSMI), and Space Physics Sensor (SPS). The satellite has the weight of about 500kg and will be operated on the 10:50 AM sun-synchronized orbit with the altitude of 685 km. The satellite will be launched in 1999 and its lifetime is expected to be over 3 years. The main mission of EOC is the cartography to provide the images from a remote earth view for the production of 1/25000-scale maps of KOREA. EOC collects 510 ~ 730 nm panchromatic imagery with the ground sample distance(GSD) of 6.6 m and the swath width of 17 km by push broom scanning. EOC also can scan $\pm$45 degree across the ground track using body pointing method. The primary mission of OSMI is worldwide ocean color monitoring for the study of biological oceanography. It will generate 6 band ocean color images with 800 km swath width and 1km GSD by whiskbroom scanning. OSMI is designed to provide on-orbit spectral band selectability in the spectral range from 400 nm to 900 nm through ground command. This flexibility in band selection can be used for various applications and will provide research opportunities to support the next generation sensor design. SPS consists of High Energy Particle Detector (HEPD) and ionosphere Measurement Sensor (IMS). HEPD has missions to characterize the low altitude high-energy Particle environment and to study the effects of radiation environment on microelectronics. IMS measures densities and temperature of electrons in the ionosphere and monitors the ionospheric irregularities at the KOMPSAT orbit.

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A Study on the Expression Elements of Fashion Styles according to the Pursuit Image Types of the Male Office Worker (직장남성의 추구이미지에 따른 패션스타일 표현요소 연구)

  • Choi, Hyunkyung;Suh, Seunghee
    • Journal of Fashion Business
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    • v.24 no.4
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    • pp.30-47
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    • 2020
  • The purpose of this study is to derive the type of image pursued by men at work and to present the fashion style element as a method of expressing the image to be pursued. The was carried out by deriving the types of seeking images of men at work through literature research and questionnaire on seeking images and analyzing cases through FGI. The results of the study on fashion style elements for each type of image pursued are as follows. First, the reliable image appeared a gentle and formal fashion style, and colors and items were identified as the main elements of expression. Second, the refined image appeared in a chic and dandy fashion style, and colors, fabrics and items reflecting trends were identified as the main elements of expression. Third, the neat image was identified as a simple and minimal fashion style, and details, fabrics, and colors were identified as the main elements of expression. Fourth, the luxurious image was found to have an intellectual feeling in a classic fashion style, and color and material are the main elements of expression. Fifth, the dignified image appeared in a fashion style that was well-dressed and felt classy and heavy, and colors, patterns, and items were identified as the main elements of expression. Sixth, the energetic image emerged as a business casual style, except sporty or active functional styles, with overall comfortable and cheerful feeling, fit, color, and items were noted as the main elements of expression.

A Study on Automatic Detection of Speed Bump by using Mathematical Morphology Image Filters while Driving (수학적 형태학 처리를 통한 주행 중 과속 방지턱 자동 탐지 방안)

  • Joo, Yong Jin;Hahm, Chang Hahk
    • Journal of Korean Society for Geospatial Information Science
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    • v.21 no.3
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    • pp.55-62
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    • 2013
  • This paper aims to detect Speed Bump by using Omni-directional Camera and to suggest Real-time update scheme of Speed Bump through Vision Based Approach. In order to detect Speed Bump from sequence of camera images, noise should be removed as well as spot estimated as shape and pattern for speed bump should be detected first. Now that speed bump has a regular form of white and yellow area, we extracted speed bump on the road by applying erosion and dilation morphological operations and by using the HSV color model. By collecting huge panoramic images from the camera, we are able to detect the target object and to calculate the distance through GPS log data. Last but not least, we evaluated accuracy of obtained result and detection algorithm by implementing SLAMS (Simultaneous Localization and Mapping system).

A Background Segmentation and Feature Point Extraction Method of Human Motion Recognition (동작인식을 위한 배경 분할 및 특징점 추출 방법)

  • You, Hwi-Jong;Kim, Tae-Young
    • Journal of Korea Game Society
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    • v.11 no.2
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    • pp.161-166
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    • 2011
  • In this paper, we propose a novel background segmentation and feature point extraction method of a human motion for the augmented reality game. First, our method transforms input image from RGB color space to HSV color space, then segments a skin colored area using double threshold of H, S value. And it also segments a moving area using the time difference images and then removes the noise of the area using the Hessian affine region detector. The skin colored area with the moving area is segmented as a human motion. Next, the feature points for the human motion are extracted by calculating the center point for each block in the previously obtained image. The experiments on various input images show that our method is capable of correct background segmentation and feature points extraction 12 frames per second.

The efficacy of ultrasonography in monitoring the healing of jaw lesions

  • Zainedeen, Obai;Haffar, Iyad Al;Kochaji, Nabil;Wassouf, George
    • Imaging Science in Dentistry
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    • v.48 no.3
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    • pp.153-160
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    • 2018
  • Purpose: This study aimed to assess the reliability of ultrasonography (US) in comparison with cone-beam computed tomography (CBCT) as a tool for monitoring the healing of jaw lesions. Materials and Methods: Twenty-one radiolucent lesions in jaws referred to the Oral Surgery Department at our institution were selected for this study. All lesions underwent CBCT and US examinations. The anteroposterior, superoinferior, and mesiodistal dimensions of the lesions were measured on CBCT and US images before surgery and at 6 months after surgery. The dimensions were compared between the US and CBCT images. Blood-flow velocity around the lesions was measured by color Doppler before surgery and at 1 week and 6 months after surgery to assess the capability of US to show changes in blood-flow velocity around the lesion. Results: Before surgery, there were no significant differences between US and CBCT in the mesiodistal and anteroposterior dimensions, although a significant difference was found in the superoinferior dimension (P<.05). However, at 6 months after surgery, significant differences were found between US and CBCT in all dimensions, and it is likely that the US measurements more accurately reflected the extent of healing. The average blood-flow velocity increased at 1 week after surgery (5.84 cm/s) compared with the velocity before surgery (4 cm/s) (P<.05). Then, at 6 months after surgery, the blood-flow velocity significantly decreased (3.53 cm/s) compared to the velocity measured at 1 week after surgery (P<.05). Conclusion: US with color Doppler was confirmed to be a more efficient tool than CBCT for monitoring bone healing.