• 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.

• 제어로봇시스템학회논문지
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• 제9권8호
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• pp.640-646
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• 2003

We presents an edge-based point correlation algorithm for fast and stable visual inspection system. Conventional algorithms based on NGC(normalized gray-level correlation) have to overcome some difficulties in applying automated inspection systems to real factory environment. First of all, NGC algorithms involve highly complex computation and thus require high performance hardware for realtime process. In addition, lighting condition in realistic factory environments is not stable and therefore intensity variation from uncontrolled lights gives many troubles for applying NGC directly as pattern matching algorithm. We propose an algorithm to solve these problems, using thinned and binarized edge data, which are obtained from the original image. A point correlation algorithm with the thinned edges is introduced with image pyramid technique to reduce the computational complexity. Matching edges instead of using original gray-level image pixels overcomes problems in NGC method and pyramid of edges also provides fast and stable processing. All proposed methods are proved by the experiments using real images.

• 한국통신학회논문지
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• 제34권2C호
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• pp.169-174
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• 2009

본 논문에서는 이진 낮은 상관 구역 수열군의 새로운 생성법을 제안한다. 새로운 수열군은 Kim과 Jang, No, Chung이 제안한 4진 낮은 상관 구역 수열군에 Gray 사상을 적용하여 생성한다. 새로 생성된 이진 수열군의 주기는 생성에 사용한 4진 수열군의 주기의 2배이며, 낮은 상관구역 내 상관 값의 최대 크기 및 수열군의 크기는 생성에 사용한 수열군의 그것의 2배가 된다. 그러나 낮은 상관 구역의 크기는 그대로 유지된다. 생성에 사용한 4진 낮은 상관 구역 수열군의 최적인 경우 새로 생성된 이진 수열군은 높은 확률로 최적의 수열군이 된다.

• 대한치과보철학회지
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• 제43권6호
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• pp.736-744
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• 2005

Statement of problem. Initial stability of implant is an important factor for predicting osseointegration. It requires a rapid, non-invasive, user-friendly technique to frequently assess the implant stability and the degree of osseointegration. Purpose. The aim of this study was to evaluate the correlation between the resonance frequency analysis (RFA) and the radiographic method for peri-implant bone change under in vitro conditions. Material and Method. Twenty implants of 3.75 mm in diameter(Neoplant, Neobiotech, Korea) were used. To simulate peri-implant bone change, 2 mm-deep $45^{\circ}$ range horizontal defect and 2 mm-deep $90^{\circ}$ range horizontal defect area were serially prepared perpendicular to the X-ray beam after conventional implant insertion. Customized film holding device was fabricated to standardize the projection geometry for serial radiographs of implants and direct digital image was obtained. ISQ values and gray values inside threads were measured before and after peri-implant bone defect preparation. Results. Within a limitation of this study, ISQ value of resonance frequency analysis was changed according to peri-implant bone change (p<0.05) and gray value of radiographic method was changed according to peri-implant bone change (p<0.05). There was no correlation between the ISQ value and the gray value for peri-implant bone change (p>0.05). But, in horizontal defect condition, relatively positive correlation were between ISQ and gray values(r=0.663). Conclusion. This results provided a possibility that peri-implant bone change may be evaluated by both RFA and radiographic method.

• 치과방사선
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• 제29권2호
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• pp.417-422
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• 1999

Purpose : The aim of this study was to assess the validity of standard deviation of gray scale histogram in digital subtraction radiography as a test parameter for superimposition error. Materials and Methods : Twenty periapical radiographs were used as baseline images and they were copied to exclude the influence of exposure geomety and contrast differences. These subsequent images were linearly displaced by 0.1-0.5 mm in the x-. y- and xy-directions, rotated by 0.5-3° and distorted by angular contraction of 1-5° in x- and y-axis before subtraction. The standard deviations of gray levels in the subtraction images were obtained and paired t-tests were performed. Pearson correlation coefficients(r) were calculated between the standard deviations and the superimposition errors. Results : Linear displacement showed high correlation coefficients of 0.997, 0.997 and 0.995 in x-. y- and xy-axis respectively. Statistically significant different standard deviation existed among all linearly displaced groups(p<0.05). Distortion showed relatively low correlation coefficients of 0.982 and 0.959 in x- and y-axis. The standard deviations between the two distortion groups were statistically significant different(p<0.05). Conclusion : Standard deviation of gray level distribution in digital subtraction images is satisfactory but not perfect similarity measure to assess the superimposition errors.

• Coupled systems mechanics
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• 제10권6호
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• pp.545-560
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• 2021

An in situ experiment imaged via X-ray computed tomography was performed on a continuous glass fiber mat reinforced epoxy resin composite. The investigated dogbone specimen was subjected to uniaxial cyclic tension. The reconstructed scans (i.e., gray level volumes) were registered via Digital Volume Correlation. The calculated maximum principal strain fields and correlation residual maps exhibited strain localization areas within the material bulk, thus indicating damage inception and growth toward the specimen surface. Strained bands and areas of elevated correlation residuals were mainly concentrated in the narrowest gauge section of the investigated specimen, as well as on the specimen ligament edges. Gray level residuals were laid over the corresponding mesostructure to highlight and characterize damage development within the material bulk.

• 한국안광학회지
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• 제19권4호
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• pp.533-538
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• 2014

목적: 모니터 글자 대비 변화에 따른 눈의 피로도를 측정하여 모니터 글자 대비도와 눈의 피로도의 연관성에 대해 연구하고자 하였다. 방법: 최대교정시력 1.0 이상의 피검자 53명(평균연령 $22.68{\pm}1.85$) 중 읽기속도 검사에 통과한 45명(평균연령 $22.68{\pm}1.85$)을 대상으로 각각 Black(대비 100%), Dark gray(대비 80%), Gray(대비 60%), Light gray(대비 30%) 글자로 이루어진 4가지 시표를 무작위로 읽도록 하였다. 피검자가 시표를 읽는 동안 아이트래커로 피검자의 안구를 추적하여 모니터 글자 대비에 따른 피검자의 눈의 피로도의 변화를 측정하였다. 결과: 피검자들의 평균측정시간은 Black, Dark gray, Gray, Light gray에서 33.635 sec, 32.266 sec, 33.936 sec, 34.848 sec로 측정되었다. 평균안구고정시간은 Black, Dark gray, Gray, Light gray에서 0.224 sec, 0.218 sec, 0.239 sec, 0.243 sec로 측정되었다. 평균동공크기는 Black, Dark gray, Gray, Light gray에서 41.133 mm, 41.160 mm, 40.880 mm, 40.459 mm로 측정되었다. 평균 눈깜박임 빈도수는 Black, Dark gray, Gray, Light gray에서 0.211 blinks/sec, 0.206 blinks/sec, 0.221 blinks/sec, 0.238 blinks/sec로 측정되었다. 결론: 피검자들의 평균측정시간과 평균안구고정시간은 Dark gray가 가장 짧았으며, Light gray에서 가장 길었다. 평균 동공크기는 Dark gray에서 가장 컸으며, Light gray에서 가장 작았다. 평균 눈 깜박임 빈도수는 Dark gray에서 가장 적었으며, Light gray에서 가장 많았다. 모니터 글자 밝기에 따른 눈의 피로도는 Dark gray에서 가장 적었으며 Black, Gray, Light gray 순으로 증가하였다.

• 한국멀티미디어학회논문지
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• 제20권1호
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• pp.43-50
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• 2017

According to living environment, the number of deaths due to thyroid diseases increased. In this paper, we proposed an algorithm for recognizing a thyroid detection using texture analysis based on shape, gray level co-occurrence matrix and gray level run length matrix. First of all, we segmented the region of interest (ROI) using active contour model algorithm. Then, we applied a total of 18 features (5 first order descriptors, 10 Gray level co-occurrence matrix features(GLCM), 2 Gray level run length matrix features and shape feature) to each thyroid region of interest. The extracted features are used as statistical analysis. Our results show that first order statistics (Skewness, Entropy, Energy, Smoothness), GLCM (Correlation, Contrast, Energy, Entropy, Difference variance, Difference Entropy, Homogeneity, Maximum Probability, Sum average, Sum entropy), GLRLM features and shape feature helped to distinguish thyroid benign and malignant. This algorithm will be helpful to diagnose of thyroid nodule on ultrasound images.

• 한국지능시스템학회논문지
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• 제25권2호
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• pp.133-138
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• 2015

본 논문에서는 비균일 양자화에 기반을 둔 영상의 질감분석에 널리 이용되고 있는 gray level co-occurrence matrix(GLCM)의 성능개선을 제안하였다. 여기서 비균일 양자화는 평균자승오차의 최소화를 위한 반복계산 기법인 Lloyd 알고리즘을 이용하였다. 이는 영상에서의 비균일 양자화 과정으로 얻어지는 비선형의 명암레벨을 GLCM의 생성에 이용함으로써 행렬의 차원을 감소시켜, GLCM의 생성과 질감특성 파라미터들의 계산에 따른 부하를 줄이기 위함이다. 제안된 기법을 30개의 $120{\times}120$ 픽셀의 256 그레이 레벨을 가진 영상들을 대상으로 적용하여 angular second moment, contrast, variance, entropy, correlation, inverse difference moment 6개의 질감특성 파라미터들을 각각 계산한 실험결과, 양자화를 수행하지 않은 256 레벨 GLCM에 비해 계산시간과 저장 공간에서 개선된 성능이 있음을 확인하였다. 특히 48, 32, 16, 12, 8의 비균일 양자화 레벨 중에서 16일 때 가장 우수한 질감특성분석 성능이 있음을 알 수 있었다.

• Journal of the Optical Society of Korea
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• 제14권4호
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• pp.388-394
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• 2010

In this paper the object recognition performance of a photon counting integral imaging system is quantitatively compared with that of a conventional gray scale imaging system. For 3D imaging of objects with a small number of photons, the elemental image set of a 3D scene is obtained using the integral imaging set up. We assume that the elemental image detection follows a Poisson distribution. Computational geometrical ray back propagation algorithm and parametric maximum likelihood estimator are applied to the photon counting elemental image set in order to reconstruct the original 3D scene. To evaluate the photon counting object recognition performance, the normalized correlation peaks between the reconstructed 3D scenes are calculated for the varied and fixed total number of photons in the reconstructed sectional image changing the total number of image channels in the integral imaging system. It is quantitatively illustrated that the recognition performance of the photon counting integral imaging system can be similar to that of a conventional gray scale imaging system as the number of image viewing channels in the photon counting integral imaging (PCII) system is increased up to the threshold point. Also, we present experiments to find the threshold point on the total number of image channels in the PCII system which can guarantee a comparable recognition performance with a gray scale imaging system. To the best of our knowledge, this is the first report on comparisons of object recognition performance with 3D photon counting & gray scale images.