• 제목/요약/키워드: Gray value

검색결과 379건 처리시간 0.027초

Intensity of Intraoperative Spinal Cord Hyperechogenicity as a Novel Potential Predictive Indicator of Neurological Recovery for Degenerative Cervical Myelopathy

  • Guoliang Chen;Fuxin Wei;Jiachun Li;Liangyu Shi;Wei Zhang;Xianxiang Wang;Zuofeng Xu;Xizhe Liu;Xuenong Zou;Shaoyu Liu
    • Korean Journal of Radiology
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    • 제22권7호
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    • pp.1163-1171
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    • 2021
  • Objective: To analyze the correlations between intraoperative ultrasound and MRI metrics of the spinal cord in degenerative cervical myelopathy and identify novel potential predictive ultrasonic indicators of neurological recovery for degenerative cervical myelopathy. Materials and Methods: Twenty-two patients who underwent French-door laminoplasty for multilevel degenerative cervical myelopathy were followed up for 12 months. The Japanese Orthopedic Association (JOA) scores were assessed preoperatively and 12 months postoperatively. Maximum spinal cord compression and compression rates were measured and calculated using both intraoperative ultrasound imaging and preoperative T2-weight (T2W) MRI. Signal change rates of the spinal cord on preoperative T2W MRI and gray value ratios of dorsal and ventral spinal cord hyperechogenicity on intraoperative ultrasound imaging were measured and calculated. Correlations between intraoperative ultrasound metrics, MRI metrics, and the recovery rate JOA scores were analyzed using Spearman correlation analysis. Results: The postoperative JOA scores improved significantly, with a mean recovery rate of 65.0 ± 20.3% (p < 0.001). No significant correlations were found between the operative ultrasound metrics and MRI metrics. The gray value ratios of the spinal cord hyperechogenicity was negatively correlated with the recovery rate of JOA scores (ρ = -0.638, p = 0.001), while the ventral and dorsal gray value ratios of spinal cord hyperechogenicity were negatively correlated with the recovery rate of JOA-motor scores (ρ = -0.582, p = 0.004) and JOA-sensory scores (ρ = -0.452, p = 0.035), respectively. The dorsal gray value ratio was significantly higher than the ventral gray value ratio (p < 0.001), while the recovery rate of JOA-motor scores was better than that of JOA-sensory scores at 12 months post-surgery (p = 0.028). Conclusion: For degenerative cervical myelopathy, the correlations between intraoperative ultrasound and preoperative T2W MRI metrics were not significant. Gray value ratios of the spinal cord hyperechogenicity and dorsal and ventral spinal cord hyperechogenicity were significantly correlated with neurological recovery at 12 months postoperatively.

뽕나무 한지의 지합특성 (Sheet Formation Properties of Morus Hanji)

  • 이일로;조남석
    • 펄프종이기술
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    • 제38권3호
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    • pp.47-60
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    • 2006
  • This study was carried out to investigate the sheet formation properties of Morus Hanjis, made of bast and whole stalk pulps by different pulping methods, such as alkali, alkali-peroxide and sulfomethylated pulping. Two species of Morus, M. alba and M. lhou, were used. Effect of morphological properties of pulp stocks on the sheet formation and its gray levels based on optical property were evaluated using an Image analyzer. In addition, the effect of fiber distribution index(FDI) which was calculated from tile data of Confocal laser scanning microscopy(CLSM) on the sheet formation and optical properties of Morus Hanji were also discussed. On the sheet formation, Hanji from whole stalk pulp was superior than that of bast pulp. The more the sheet formation improved, the more paper opacity decreased. In the aspect of Hanji's surface characteristics analyzed by an Image analyzer, the average gray level and its standard deviation of Hanji from the whole stalk pulp were rather lower than those of bast pulp because of better sheet formation of the former. However, high brightness Hanji showed high value of gray level. The sheet formation and paper opacity were increased with the decrease of standard deviation of gray level. From these results, gray level measurement could be used to predict the paper opacity as well as sheet formation. Sheet formation of whole stalk Hanji and its FDI measured by CLSM were higher than those of bast fibers. In conclusion, the sheet formation and opacity of Hanji could be evaluated by standard deviation value of Hanji's gray level using an Image analyzer and by fiber distribution index using CLSM.

화상분석기를 이용한 어저귀 섬유의 형태학적 특성과 물성연구 (Study of Morphology and Physical Properties of Indian Mallow(Abutilon avicennae Gaertner) Fibers by Image Analyzer)

  • 정선화;조남석
    • 펄프종이기술
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    • 제35권4호
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    • pp.17-22
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    • 2003
  • A kind of image analysis system is used to investigate the structural features of the papers made from Indian mallow. The screen mark on the paper was identified and analyzed. The dusts, shives and fiber bundles were manifested and calculated. In the aspect of Indian mallow hanji's surface characteristics analyzed by an Image analyzer, the average of gray level and its standard deviation hanji from the woody core were rather lower than of bast fiber pulp because of better sheet formation of the formers. Hower. high brightness hanji showed high value of gray level. The sheet formation and paper opacity were increased with the decrease of standard deviation of gray level. From these results, gray level measurement could be used to predict the paper opacity as well as sheet formation.

그레이-레벨 한계 기법을 이용한 자동 시각 굴절력 곡률계의 측정 알고리즘 (A Measurement Algorithm using Gray-level Thresholding in Automatic Refracto-Keratometer)

  • 성원;박종원
    • 정보처리학회논문지B
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    • 제9B권6호
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    • pp.727-734
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    • 2002
  • 최근 시각 관련 측정기 개발에 대한 관심이 높아지고 있다. 이에 본 연구는 자동 시각 굴절력 곡률계의 전자 부문 소프트웨어를 개발하였다. 만약 자동화된 시스템이 광학계로부터 나오는 영상을 이용하여 내부 처리를 거친 후 정확한 시각 측정치를 검사자에게 알려줄 수 있다면 잘못 측정되는 측정 횟수를 크게 줄일 수 있을 것이다. 본 연구는 형태학적 필터링(morphological filtering)과 그레이-레벨의 신호 강조(signal enhance) 기술들을 이용하여 자동 시각 굴절력 측정 시스템에 연동될 측정 알고리즘을 개발하였다. 알고리즘에서는 광학계로부터 도출된 영상으로부터 첫째로 형태학적 필터링 처리를 행한다. 이 과정은 처리가 어려운 원 영상을 좀 더 다루기 쉬운 상태로 바꿔주는 역할을 하게 된다. 둘째는 일차 처리된 영상에 가해주는 그레이 수준 한계 기법을 통한 신호 강조 기법으로서 이는 영상의 그레이 값 분포가 다양함으로 인해서 발생되는 오차를 줄이기 위해서 사용된다. 그리하여 본 전자 부문 소프트웨어는 정확한 측정값 도출이 어려운 시각 영상에 적용되어 효과적으로 오차를 줄임으로써 보다 효율적인 시각 측정을 가능하게 하였다.

그레이 레벨의 공간적 상관관계 기반 이진화 (Binarization Based on the Spatial Correlation of Gray Levles)

  • 서석태;손세호;이인근;정혜천;권순학
    • 한국지능시스템학회논문지
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    • 제17권4호
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    • pp.466-471
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    • 2007
  • Otsu의 임계값 결정법을 포함한 기존의 임계값 결정 기법은 그레이 레벨 빈도수 히스토그램 정보를 이용하여 임계값을 결정한다. 그러나 빈도수 히스토그램은 입력 영상에서 그레이 레벨 빈도수 정보만을 재구성한 것이므로, 입력 영상의 그레이 레벨의 분포 및 그레이 레벨간의 관계성을 포함하지 않는다. 따라서 임계값 결정에 있어서 영상의 정보를 충분히 반영하지 못하여 때때로 부적절한 임계값을 제시한다. 본 논문에서는 빈도수 정보뿐만 아니라 그레이 레벨간의 상관관계함수를 정의하고, 정의된 상관관계함수를 이용하여 공간적 상관관계 정보 추출 및 추출된 정보로부터 임계값을 결정하는 기법을 제안한다. 제안된 기법의 타당성을 빈도수 히스토그램에 기반한 Otsu의 임계값 결정법과의 비교 실험을 통하여 보인다.

디지탈 이미지 프로세싱을 이용한 자동두께 측정장치 개발 (Development for Automatic Thickness Measurment System by Digital Image Processing)

  • 김영일;이상길
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1993년도 추계학술대회 논문집
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    • pp.395-401
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    • 1993
  • The purpose of this paper is to develop an automatic measuring system based on the digital image processing which can be applied to the in-process measurement of the characteristics of the thin thickness. The derivative operators is used for edge detection in gray level image. This concept can be easiliy illustrated with the aid of object shows an image of a simple light object on a dark background, the gray level profile along a horizontal scan line of the image, and the first and second derivatives of the profile. The first derivative of an edge modeled in this manner is () in all regions of constant gray level, and assumes a constant value during a gray level transition. The experimental results indicate that the developed qutomatic inspection system can be applied in real situation.

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An Edge Detection Method for Gray Scale Images Based on their Fuzzy System Representation

  • Moon, Byung-Soo;Lee, Hyun-Chul;Kim, Jang-Yeol
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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    • pp.283-286
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    • 2001
  • Based on a fuzzy system representation of gray scale images, we derive an edge detection algorithm whose convolution kernel is different from the known kernels such as those of Roberts', Prewitt's or Sobel's gradient. Our fuzzy system representation is an exact representation of the bicubic spline function which represents the gray scale image approximately. Hence the fuzzy system is a continuous function and it provides a natural way to define the gradient and the Laplacian operator. We show that the gradient at grid points can be evaluated by taking the convolution of the image with a 3 3 kernel. We also show that our gradient coupled with the approximate value of the continuous function generates an edge detection method which creates edge images clearer than those by other methods. A few examples of applying our methods are included.

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디지탈 영상처리 기법을 이용한 자동 두께측정 장치 개발 (Development for Automatic Thickness Measurment System by Digital Image Processing)

  • Kim, Y.I.
    • 한국정밀공학회지
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    • 제12권6호
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    • pp.72-79
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    • 1995
  • The purpose of this paper is to develop an automatic measuring system based on the digital image processing which can be applied to the in-process measurment of the characteristics of the thin thickness. The derivative operators is used for edge detection in gray level image. This concept can be easily illustrated with the aid of object shows an image of a simple light object on a dark background, the gray level profile along a horizontal scan line of the image, and the first and second derivatives of the profile. The first derivative of an edge modeled in this manner is 0 in all regions of constant gray level, and assumes a constant value during a gray level transition. The experimental results indicate that the developed automatic inspection system can be applied in real situation.

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Ink jet printer에서 paper의 white를 고려한 Gray CCT 보정 (Gray CCT Compensation Considered the White of Paper in Ink Jet Printer)

  • 김대원;류동원;김희철;김은수;송규익
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 하계종합학술대회 논문집(4)
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    • pp.307-310
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    • 2002
  • Color reproductions in most ink jet printer are quite different from that of standard CRT (cathode ray tube) monitor display because of the nonlinear characteristic in subtractive color reproduction. Gray scale CCT(correlated color temperature) reproductions in a typical printer are vary with the input RGB level. A simple method for making constant gray scale CCT and gamma value in photo paper is proposed in this paper. The compensation of the CCT with white point of the photo paper under the CIE standard illuminant D65 and color correction has been confirmed using the LUT(look-up table) to compensate the CCT and gamma curve characteristic.

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홍삼 내공검출을 위한 X-선 영상처리기술(I) - 내공검출에 적합한 전처리기법 - (X-ray Image Processing for the Korea Red Ginseng Inner Hole Detection ( I ) - Preprocessing technique for inner hole detection -)

  • 손재룡;최규홍;이강진;최동수;김기영
    • Journal of Biosystems Engineering
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    • 제27권4호
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    • pp.341-348
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    • 2002
  • Quality evaluation of red ginsengs is determined by outer shape and inner qualities. Especially, the inner qualities are main grading criteria. Currently, red ginsengs are classified into 3-grades; heaven, earth and good. The best heaven grade must not include inner holes and sponge tissues. This study was conducted to develop a red ginseng sorting system using x-ray image processing technique. Because of lens characteristic, gray values of the central region in the x-ray image are higher and gradually decreased towards the edge regions. This difference of gray values gives trouble in segmentation and detection of inner holes in red ginseng image, so preprocessing technique is necessary. The preprocessing was done by subtracting source image from an empty background image. But, simple subtraction was not quite appropriate because of too small contrast between inner holes and sound part. Scaled subtraction images were obtained by multiplying all gray values by some numbers. However this method could not help to set threshold value because the gray values of root part are generally lower than body part when red ginseng is exposed to the x-ray. To determine threshold value for detecting inner holes, an algorithm was developed by increasing overall gray values of less clear images.