• 제목/요약/키워드: Subtraction image

검색결과 276건 처리시간 0.027초

Assessing changes of peri-implant bone using digital subtraction radiography

  • Kwon Ji-Yung;Kim Yung-Soo;Kim Chang-Whe
    • 대한치과보철학회지
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    • 제39권3호
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    • pp.273-281
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    • 2001
  • Digital subtraction radiography may be one of the most precise and noninvasive methods for assessing subtle density changes in peri-implant bone, providing additional diagnostic information on implant tissue integration in overall maintenance. The aims of this study were to evaluate density changes after first, second surgery of dental implant and to measure the amount of marginal bone loss 9 months after second surgery using digital subtraction radiography. Bone change around 30 screw-shaped implants in 16 patients were assessed on radiographs. 17 Branemark implants of 3.75mm in diameter(Nobel Biocare, Goteborg, Sweden), 2 Branemark implants of 5.0mm in diameter, 11 $Replace^{TM}$ implants of 4.3mm in diameter(Nobel Biocare, Goteborg, Sweden) were used. To standardize the projection geometry of serial radiographs of implants, customized bite block was fabricated using XCP film holder(Rinn Corporation, Elgin, IL.) with polyether impression material of Impregum(ESPE, Germany) and direct digital image was obtained. Qualitative and quantitative changes on radiographs were measured with Emago software(The Oral Diagnostic System, Amsterdam, Netherlands). The results were as follows: 1. The peri-implant bone density of 69.2% implants did not change and the peri-implant bone density of 30.8% implants decreased after 3 months following first surgery. 2. The crestal bone density of 53.9% implants decreased first 3 months after second surgery. The crestal bone density of 58.8% implants increased 9 months after second surgery. No density change was observed around the midportion of the implants after second surgery, 3. The amount of marginal bone loss between different kinds of implants showed no statistically significant differences (p>0.05). 4. More than 90% of total marginal bone loss recorded in a 9-month period occurred during the first 3 months.

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두개부 혈관 조영검사 시 기하학적 특성에 따른 선량 감소 방안 (Dose Reduction According to Geometric Parameters of Digital Cerebral Angiography)

  • 박찬우;조평곤
    • 한국방사선학회논문지
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    • 제13권3호
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    • pp.399-406
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    • 2019
  • 본 연구의 목적은 디지털 혈관 조영 촬영장치를 이용한 검사 시 X선관, 환자 테이블, 검출기 또는 환자 등의 기하학적 특성에 따라 실무자가 수시로 변화시켜 적용할 수 있는 매개변수에 대해 알아보고 이에 따른 환자 및 의료진의 방사선 피폭선량을 감소시키는 방안에 대해 알아보고자 하였다. 기하학적 특성들에 따라 각각 fluoroscopy mode와 Digital subtraction angiography로 촬영하고 유효 선량으로 환산한 값을 비교하였다. 연구결과 FPS mode에 따른 선량은 FPS mode를 낮게 설정할수록 선량이 30-40%까지 감소하였다. X선관 각도에 따른 선량은 AP View에서 가장 높게 측정되었고 머리 방향으로 각도가 들어갈수록 선량이 낮게 측정되었다. FOV가 확대될수록 선량이 1.2-1.6배 증가하였고 X선관과 테이블의 거리가 가까워질수록 약 10% 증가하였다. X선관과 평판형 검출기의 거리가 100 mm 멀어질수록 선량이 20-30% 증가하였다. 결론적으로 혈관 조영검사 시 다양한 기하학적 특성들은 실무자가 수시로 변화시켜 적용할 수 있는 매개변수이며 다양한 상황에서 적합한 기하학적 특성들을 고려하여 적용함으로써 적절한 선량 감소 효과를 기대할 수 있다.

성분차 색분할과 검출마스크를 통한 실시간 교통신호등 검출과 인식 (Real time detection and recognition of traffic lights using component subtraction and detection masks)

  • 정준익;노도환
    • 대한전자공학회논문지SP
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    • 제43권2호
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    • pp.65-72
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    • 2006
  • 교통신호등 검출과 인식 시스템은 운전자에게 경고와 보조시스템으로 필요한 장치이다. 본 논문에서는 칼라 비젼시스템을 이용한 주행중 실시간 교통신호등의 검출과 인식법에 대해 제안하고 있다. 제안하는 방법은 크게 네 가지로 구분된다 유사색 환경에서도 신호등 빛 검출이 용이하도록 HSI 색 공간에서 채도와 밝기값의 차를 이용하여 신호등의 빛을 검출하는 신호등 검출, 신호등 외곽검출과 검출된 신호 빛을 바탕으로 교통신호등 외곽 후보영역 설정과 세 검출 결과를 토대로 교통신호등을 인식하는 부분이다. 주행중 영상을 비디오 카메라로 녹화하여 제안하는 방법에 적용하여 결과를 제시하였다. 녹화시 카메라의 줌기능을 이용하여 줌에 의한 입력 영상변화시에도 신호등을 검출 및 인식한 결과를 제시하였다.

영상 분석장치를 이용한 골 흑화도의 정량적 평가에 관한 연구 (A QUANTITATIVE STUDY OF BONE DENSITY ON RADIOGRAM BY USING IMAGE ANALYZER)

  • 최원재;김재덕
    • 치과방사선
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    • 제25권2호
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    • pp.521-533
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    • 1995
  • This study was performed to develop and evaluate the method to detect Quantitatively the serial changes in the size of artificial lesion in the spongious bone by automatic color image analyzer. 15 intraoral radiograms taken before and after endodontic treatment of 5 cases were used for contour line analysis. 30 intraoral radiograms taken by geometrically standardized apparatus before and after serially the formation of artificial lesions of 0.80, 1.20, 1.75, 2.00mm in diameter at the periapical area and interdental area of spongious bone were used. The analysis of image according to the variance of lesion size by 0.25, 0.35, 0.55, and 0.85mm serially was performed by the histogram and the color enhancement with subtraction. The images inputted by CCDcamera were digitized and analyzed by NEXUS QUBE program with NEC PC-9801 computer. The obtained results were as follows: 1. There was no reliability in the analysis of lesions by contour line 2 .. The mean difference of the grey scale at each pixel was 1 step between reference image and the corrected images. 3. In the analysis by histogram of the artificial lesion in spongeous bone, the change over 0.55mm in the mesiodistal size was detectable by the change of the numbers of pixel showing the change in grey scale. 4. In the analysis by histogram of the artificial lesion in spongeous bone, the change over 0.25mm in the buccolingual size was detectable by the change in grey scale. 5. By color enbancement with- subtraction, each lesion was able to be isolated and the change in it's mesiodistal size was detectable visually , but not in it's buccolingual size.

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Color Intensity Variation based Approach for Background Subtraction and Shadow Detection

  • Erdenebatkhaan, Turbat;Kim, Hyoung-Nyoun;Lee, Joong-Ho;Kim, Sung-Joon;Park, Ji-Hyung
    • 한국HCI학회:학술대회논문집
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    • 한국HCI학회 2007년도 학술대회 1부
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    • pp.298-301
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    • 2007
  • Computational speed plays key role in background subtraction and shadow detection, because those are only preprocessing steps of a moving object segmentation, tracking and activity recognition. A color intensity variation based approach fastly detect a moving object and extract shadow in a image sequences. The moving object is subtracted from background using meanmax, meanmin thresholds and shadow is detected by decrease limit and correspondence thresholds. The proposed approach relies on the ability to represent shadow cast impact by offline experiment dataset on sub grouped RGB color space.

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Detection and Recognition of Illegally Parked Vehicles Based on an Adaptive Gaussian Mixture Model and a Seed Fill Algorithm

  • Sarker, Md. Mostafa Kamal;Weihua, Cai;Song, Moon Kyou
    • Journal of information and communication convergence engineering
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    • 제13권3호
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    • pp.197-204
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    • 2015
  • In this paper, we present an algorithm for the detection of illegally parked vehicles based on a combination of some image processing algorithms. A digital camera is fixed in the illegal parking region to capture the video frames. An adaptive Gaussian mixture model (GMM) is used for background subtraction in a complex environment to identify the regions of moving objects in our test video. Stationary objects are detected by using the pixel-level features in time sequences. A stationary vehicle is detected by using the local features of the object, and thus, information about illegally parked vehicles is successfully obtained. An automatic alarm system can be utilized according to the different regulations of different illegal parking regions. The results of this study obtained using a test video sequence of a real-time traffic scene show that the proposed method is effective.

Background Subtraction for Moving Cameras based on trajectory-controlled segmentation and Label Inference

  • Yin, Xiaoqing;Wang, Bin;Li, Weili;Liu, Yu;Zhang, Maojun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권10호
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    • pp.4092-4107
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    • 2015
  • We propose a background subtraction method for moving cameras based on trajectory classification, image segmentation and label inference. In the trajectory classification process, PCA-based outlier detection strategy is used to remove the outliers in the foreground trajectories. Combining optical flow trajectory with watershed algorithm, we propose a trajectory-controlled watershed segmentation algorithm which effectively improves the edge-preserving performance and prevents the over-smooth problem. Finally, label inference based on Markov Random field is conducted for labeling the unlabeled pixels. Experimental results on the motionseg database demonstrate the promising performance of the proposed approach compared with other competing methods.

Studies of LSB Features with K-DRIFT: Galactic Cirrus Clouds and Extragalactic Objects

  • Seon, Kwang-Il
    • 천문학회보
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    • 제46권2호
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    • pp.56.4-57
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    • 2021
  • The low surface brightness (LSB) universe has been largely unexplored. The LSB structures are extremely difficult to image due to systematic errors of sky subtraction and scattered light in he atmosphere and in the telescope. Among the systematic errors of sky subtraction, the widespread presence of Galactic cirrus clouds is one of the major obstacles in studying the LSB features of extragalactic sources. Interstellar dust clouds are also fundamental to understand many issues in the Milky Way. Therefore, understanding the Galactic cirri is a crucial topic in the LSB studies. We present the ubiquitousness and current understanding of the Galactic cirri. We also discuss what is necessary to study the LSB features with K-DRIFT and what we can learn from the K-DRIFT observations.

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상호작용 영상합성을 위한 손의 움직임 추정 (Hand motion estimation for interactive image composition)

  • 구떠올라;서융호;두경수;최종수
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.951-952
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    • 2008
  • This paper proposes a new method for image composition which estimates the rotation angle of human hand and uses the reserved image in real-time camera images. First, we capture a background image and extract a interesting region by background subtraction. Next, we estimate the skin region from the interesting region and calculate the rotation angle of estimated skin region using PCA(Principal Components Analysis). Finally, we composite the reserved image for the calculated rotation angle in camera images. The proposed method can be applied to control the 3D avatar for marker-less augmented reality.

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뇌의 기능적 영역 추출을 위한 Wavelet 변환 알고리즘의 적용 (Adaptation of Wavelet Algorithm for Obtaining a Human Brain's Function Map)

  • 이상민;장두봉;김동희;김광열;이건기;신태민
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2001년도 하계종합학술대회 논문집(5)
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    • pp.203-206
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    • 2001
  • The fMRI which can express the function of brain as MR image is now being studied. The study on the functional image has usually been performed with the MRI in 4 tesla class in goneral, but if gradient echo imaging method could be used, it might make the most of what it has with the MRI in 1.5 tesla class. However, the lack of adequate image post-processing software prevents it from being used as widely as it could be. For the image post-processing algorithm of the functional image, subtraction method and several statistical methods are used with continuous introduction of new method recently. In this paper, we suggest adaptation of wavelet algorithm for obtaining a more reliable brain function map.

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