• 제목/요약/키워드: clear images

검색결과 463건 처리시간 0.037초

Non-Dura Based Intaspinal Clear Cell Meningioma

  • Ko, Jun-Kyeung;Choi, Byung-Kwan;Cho, Won-Ho;Choi, Chang-Hwa
    • Journal of Korean Neurosurgical Society
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    • 제49권1호
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    • pp.71-74
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    • 2011
  • A 34-year-old female patient was presented with leg and hip pain for 6 months as well as voiding difficulty for 1 year. Magnetic resonance imaging revealed a well-demarcated mass lesion at L2-3. The mass was hypo-intense on T1- and T2-weighted images with homogeneous gadolinium enhancement. Surgery was performed with the presumptive diagnosis of intradural extramedullary meningioma. Complete tumor removal was possible due to lack of dural adhesion of the tumor. Histologic diagnosis was clear cell meningioma, a rare and newly included World Health Organization classification of meningioma usually affecting younger patients. During postoperative 2 years, the patient has shown no evidence of recurrence. We report a rare case of cauda equina clear cell meningioma without any dural attachment.

Fourcade 빙하지역의 GPR 자료처리 (Data Processing for a GPR survey of Fourcade glacier)

  • 김기영;홍명호;이주한;홍종국;진영근;손호웅
    • 한국지구물리탐사학회:학술대회논문집
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    • 한국지구물리탐사학회 2007년도 공동학술대회 논문집
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    • pp.139-144
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    • 2007
  • To delineate subglacial and englacial images of the western Fourcade Glacier in Antarctica, GPR data were acquired along a 470 m profile in November 2006. Signature deconvolution, migration velocity analysis, and finite difference depth migration were effective in increasing vertical resolution, obtaining the velocity function, and yielding clear depth images of the mixed-phase single-channel data, respectively. The source signature was extracted through stacking reflection signals from the basement. The deconvolution successfully compressed the source signatures to increase temporal resolution and attenuated reverberations. Medium velocities were analyzed with 112 diffraction events by the constant-velocity migration method based on the Stolt algorithm. Finally, depth migration based on the finite difference algorithm provided clear englacial and subglacial images in the laterally-varying velocity field.

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A Noisy Infrared and Visible Light Image Fusion Algorithm

  • Shen, Yu;Xiang, Keyun;Chen, Xiaopeng;Liu, Cheng
    • Journal of Information Processing Systems
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    • 제17권5호
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    • pp.1004-1019
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    • 2021
  • To solve the problems of the low image contrast, fuzzy edge details and edge details missing in noisy image fusion, this study proposes a noisy infrared and visible light image fusion algorithm based on non-subsample contourlet transform (NSCT) and an improved bilateral filter, which uses NSCT to decompose an image into a low-frequency component and high-frequency component. High-frequency noise and edge information are mainly distributed in the high-frequency component, and the improved bilateral filtering method is used to process the high-frequency component of two images, filtering the noise of the images and calculating the image detail of the infrared image's high-frequency component. It can extract the edge details of the infrared image and visible image as much as possible by superimposing the high-frequency component of infrared image and visible image. At the same time, edge information is enhanced and the visual effect is clearer. For the fusion rule of low-frequency coefficient, the local area standard variance coefficient method is adopted. At last, we decompose the high- and low-frequency coefficient to obtain the fusion image according to the inverse transformation of NSCT. The fusion results show that the edge, contour, texture and other details are maintained and enhanced while the noise is filtered, and the fusion image with a clear edge is obtained. The algorithm could better filter noise and obtain clear fused images in noisy infrared and visible light image fusion.

Analysis of X-ray image qualities-accuracy of shape and clearness of image-using X-ray digital tomosynthesis

  • Roh, Young Jun;Kang, Sung Taek;Kim, Hyung Cheol;Kim, Sung-Kwon
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.572-576
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    • 1997
  • X-ray laminography and DT(digital tomosynthesis) that can form a cross-sectional image of 3-D objects promise to be good solutions for inspecting interior defects of industrial products. The major factors of the digital tomosynthesis that influence on the quality of x-ray cross-sectional images are also discussed. The quality of images acquired from the DT system varies according to image synthesizing methods, the number of images used in image synthesizing, and X-ray projection angles. In this paper, a new image synthesizing method named 'log-root method' is proposed to get clear and accurate cross-sectional images, which can reduce both artifact and blurring generated by materials out of focal plane. To evaluate the quality of cross-sectional images, two evaluating criteria: (1) shape accuracy and (2) clearness in the cross-sectional image are defined. Based on this criteria, a series of simulations were performed, and the results show the superiority of the new synthesizing method over the existing ones such as averaging and minimum method.

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에지를 이용한 문서영상의 기울기 보정 (Skew Correction of Document Images using Edge)

  • 주재현;오정수
    • 한국정보통신학회논문지
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    • 제16권7호
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    • pp.1487-1494
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    • 2012
  • 본 논문에서 선명 화질은 물론 저화질 문서영상에서 에지를 이용해 문서영상의 기울기를 검출하고, 보정하는 알고리즘을 제안한다. 제안된 알고리즘은 영상 복잡도를 이용해 문자영역을 선택하여 에지를 검출하고, 이들을 다양한 방향으로 투영하여 투영 히스토그램들을 생성한다. 그리고 히스토그램들에서 에지 집중도를 평가하여 문서영상의 기울기를 검출하고 기울어진 문서 영상을 보정한다. 고속 기울기 검출을 위해 부표본화와 3단 coarse-to-fine 탐색 알고리즘을 사용한다. 선명 화질과 저화질 영상의 기울기 검출에서 제안된 알고리즘의 최대 검출 오차와 평균오차가 기존 유사 알고리즘의 50% 정도이고, 기울기 검출 시간은 25%정도로 감소된다. 모바일기기로 취득된 밝기 불균일 영상에서는 기존 알고리즘은 적절한 2진 영상을 얻을 수 없어 기울기 검출이 어려우나 제안된 알고리즘의 평균 검출 오차 0.1o 이하로 기울기를 검출한다.

딥러닝을 위한 모폴로지를 이용한 수중 영상의 세그먼테이션 (Segmentation of underwater images using morphology for deep learning)

  • 이지은;이철원;박석준;신재범;정현기
    • 한국음향학회지
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    • 제42권4호
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    • pp.370-376
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    • 2023
  • 수중영상은 수중 잡음과 낮은 해상도로 표적의 형상과 구분이 명확하지 않다. 그리고 딥러닝의 입력으로 수중영상은 전처리가 필요하며 Segmentation이 선행되어야 한다. 전처리를 하여도 표적은 명확하지 않으며 딥러닝에 의한 탐지, 식별의 성능도 높지 않을 수 있다. 따라서 표적을 구분하며 명확하게 하는 작업이 필요하다. 본 연구에서는 수중영상에서 표적 그림자의 중요성을 확인하고 그림자에 의한 물체 탐지 및 표적 영역 획득, 그리고 수중배경이 없는 표적과 그림자만의 형상이 담긴 데이터를 생성하며 더 나아가 픽셀값이 일정하지 않은 표적과 그림자 영상을 표적은 흰색, 그림자는 흑색, 그리고 배경은 회색의 3-모드의 영상으로 변환하는 과정을 제시한다. 이를 통해 딥러닝의 입력으로 명확히 전처리된 판별이 용이한 영상을 제공할 수 있다. 또한 처리는 Open Source Computer Vision(OpenCV)라이브러리의 영상처리 코드를 사용했으면 처리 속도도 역시 실시간 처리에 적합한 결과를 얻었다.

Integrated three-dimensional digital assessment of accuracy of anterior tooth movement using clear aligners

  • Zhang, Xiao-Juan;He, Li;Guo, Hong-Ming;Tian, Jie;Bai, Yu-Xing;Li, Song
    • 대한치과교정학회지
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    • 제45권6호
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    • pp.275-281
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    • 2015
  • Objective: To assess the accuracy of anterior tooth movement using clear aligners in integrated three-dimensional digital models. Methods: Cone-beam computed tomography was performed before and after treatment with clear aligners in 32 patients. Plaster casts were laser-scanned for virtual setup and aligner fabrication. Differences in predicted and achieved root and crown positions of anterior teeth were compared on superimposed maxillofacial digital images and virtual models and analyzed by Student's t-test. Results: The mean discrepancies in maxillary and mandibular crown positions were $0.376{\pm}0.041mm$ and $0.398{\pm}0.037mm$, respectively. Maxillary and mandibular root positions differed by $2.062{\pm}0.128mm$ and $1.941{\pm}0.154mm$, respectively. Conclusions: Crowns but not roots of anterior teeth can be moved to designated positions using clear aligners, because these appliances cause tooth movement by tilting motion.

투명성을 이용한 현대 패션디자인의 미적 특성 (Aesthetic Characteristics of Modern Fashion Design with Emphasis on Transparency)

  • 김선영
    • 대한가정학회지
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    • 제46권8호
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    • pp.17-26
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    • 2008
  • The purpose of this study was to identify the aesthetic characteristics of modern fashion design use with a particular focus on transparency, and to help create future vision and feature. As part of the methodology for this study, I examined the concept of transparency, its characteristics and how it was expressed through art, architecture and other designs using literature research. Furthermore, I performed justifiable analysis on modern fashion design which used transparency from the 1990s till present. The following concepts were deciphered from information: Firstly, the concept of purity was highlighted. The emphasis here was to enhance the body's natural beauty with simple silhouettes that do not restrict its curves, using light materials such as clear vinyl, semi-clear materials or thin chiffon. Secondly, to express sensuality by exposing the body's curves with tight wrapping using clear materials, or with indirect and symbolic see-through techniques using contrasting clear, semi-clear and opaque materials. Thirdly, to express futurism through cyber and electronic images using high tech or shiny materials such as metal or holograms. Mechanical movements or effects of light are also used. Fourthly, to express playful characteristic by promoting surprises and disharmony that contradict with traditional techniques. This is carried out by intentionally exaggerating certain portions of clothes through disorder elements or confusion, and unsymmetrical shapes which destruct the human body's normal form.

위상한정상관법의 지문인증에의 적용 (An Application of Phase-Only-Correlation to Fingerprint Identification)

  • 이충호;서덕범
    • 융합신호처리학회 학술대회논문집
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    • 한국신호처리시스템학회 2003년도 하계학술대회 논문집
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    • pp.134-136
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    • 2003
  • This paper proposes an algorithm for fingerprint identification using phase only correlation. This algorithm uses the phase of fast Fourier transform and correlation function to calculate the similarity. The algorithm gives very clear result for identification because it shows only one conspicuous sharp peak for the same person's fingerprint. Further, it shows good results even for the finger print images which are printed not clearly and does not need to preprocess the images. It also shows good results for parallel displacement of fingerprint. The experiment result shows the effectiveness of the proposed algorithm.

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나선식 CT를 이용한 혐색소형 신세포암과 투명세포형 신세포암의 감별 (Differentiation of Chromophobe Renal Cell Carcinoma and Clear Cell Renal Cell Carcinoma by Using Helical CT)

  • 김홍철;조재호
    • Journal of Yeungnam Medical Science
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    • 제29권1호
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    • pp.14-18
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    • 2012
  • Background: The purpose of this study was to differentiate chromophobe renal cell carcinoma and clear cell renal cell carcinoma on helical CT. Methods: The CT images of 9 patients histopathologically proven to have chromophobe renal cell carcinoma and 20 patients with clear cell renal cell carcinoma were reviewed. The tumor sizes, margins, enhancement degrees and patterns, presence or absence of calcification, and tumor spread patterns (including perinephric changes, venous invasion, lymphadenopathy, and distant metastasis) were compared. Results: All the chromophobe renal cell carcinomas showed well-demarcated margins. Thechromophobe renal cell carcinomas showed milder enhancements than the clear cell renal cell carcinomas. The sensitivity and specificity for differentiating the chromophobe renal cell carcinoma from the clear cell renal cell carcinoma were 100 and 88%, respectively, when 101 Hounsfield units was used as the cut-off value in the corticomedullary phase, and 95 and 100% when a less-than-three-time enhancement change was used as a cut-off value in the corticomedullary phase (p<0.05). The chromophobe renal cell carcinomas (67%) tended to show a homogeneous enhancement whereas the clear cell renal cell carcinomas (85%) usually showed a heterogeneous enhancement (p<0.05). Statistical analysis revealed that the frequencies of the tumor spread pattern and calcification in the two subtypes didnot differ significantly (p>0.05). Conclusion: The CT findings of the chromophobe renal cell carcinomascompared to those of the clear cell renal cell carcinomas showed that there were mild enhancements in the corticomedullary phase, homogeneous enhancements, and well-demarcated margins.

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