• 제목/요약/키워드: Gray Level Image

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고해상도 위성영상을 이용한 산화피해림의 특징추출 (Feature Extraction of Forest Fire by Using High Resolution Image)

  • 윤보열;김천
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 춘계학술대회 논문집
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    • pp.275-278
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    • 2006
  • 본 연구는 전정색(panchromatic) 고해상도 위성영상을 이용하여 산화피해림과 비산화림을 대상으로 수종별로 구분하여 조사하였다. 제안된 방법은 회색단계 공발생 행렬(Gray Level Co-occurrence Matrix, GLCM)을 통하여 생성된 질감 영상(textural images)과 웨이블릿 분해 영상(wavelet decomposition images)의 융합을 실시하여 질감 영상에서 추출될 수 있는 정보와 웨이블릿 분해를 통해 얻을 수 있는 정보를 획득하고자 하였다. 그 결과로 동일 수종을 형성하는 임반이나 산화피해 정도가 유사한 산림의 경우 영상의 밝기값의 분포가 일정한 범위 내에서 형성되어 수종 분류 및 산화피해 등급의 구분이 가능했으나, 영상 내 경계효과(edge effect) 현상은 일부 영상에서 나타났다.

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A Study on CRM(Center of Rotation Method) based on MST(Minimum Spanning Tree) Matching Algorithm for Fingerprint Recognition

  • Kwon, Hyoung-Ki;Lee, Jun-Ho;Ryu, Young-Kee
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.55.5-55
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    • 2001
  • The MST (Minimum Spanning Tree) matching algorithm had been used for searching the part accord points extracted from the gray level fingerprint image. The method, however, had some limitations. To obtain the relationship between enrolled and inputted fingerprint, the MST was used to generate the tree graph that represent the unique graph for given fingerprint data. From the graph, the accord points are estimated. However, the shape of the graph highly depends on the positions of the minutiae. If there are some pseudo minutiae caused by noise, the shape of the graph will be different In this paper, to overcome the limitations of the MST, we proposed CRM (Center of Rotation Method) algorithm that found the true part accord points. The proposed method is based on the assumption ...

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신경회로망을 이용한 냉연 표면흠 분류를 위한 계층적 분류기의 설계 (Design of Hierarchical Classifier for Classifying Defects of Cold Mill Strip using Neural Networks)

  • 김경민;류경;정우용;박귀태;박중조
    • 제어로봇시스템학회논문지
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    • 제4권4호
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    • pp.499-505
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    • 1998
  • In developing an automated surface inspect algorithm, we have designed a hierarchical classifier using neural network. The defects which exist on the surface of cold mill strip have a scattering or singular distribution. We have considered three major problems, that is preprocessing, feature extraction and defect classification. In preprocessing, Top-hit transform, adaptive thresholding, thinning and noise rejection are used Especially, Top-hit transform using local minimax operation diminishes the effect of bad lighting. In feature extraction, geometric, moment, co-occurrence matrix, and histogram ratio features are calculated. The histogram ratio feature is taken from the gray-level image. For defect classification, we suggest a hierarchical structure of which nodes are multilayer neural network classifiers. The proposed algorithm reduced error rate by comparing to one-stage structure.

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SIMP 기반 절점밀도법에 의한 3 차원 위상최적화 (3-D Topology Optimization by a Nodal Density Method Based on a SIMP Algorithm)

  • 김철;팡난
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회A
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    • pp.412-417
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    • 2008
  • In a traditional topology optimization method, material properties are usually distributed by finite element density and visualized by a gray level image. The distribution method based on element density is adequate for a great mass of 2-D topology optimization problems. However, when it is used for 3-D topology optimization, it is always difficult to obtain a smooth model representation, and easily appears a virtualconnect phenomenon especially in a low-density domain. The 3-D structural topology optimization method has been developed using the node density instead of the element density that is based on SIMP (solid isotropic microstructure with penalization) algorithm. A computer code based on Matlab was written to validate the proposed method. When it was compared to the element density as design variable, this method could get a more uniform density distribution. To show the usefulness of this method, several typical examples of structure topology optimization are presented.

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Multi-threshold와 Vectorgram을 이 강한 Brain 영상 분할 (Segmentation of Brain Image Using Multi-threshold and Vectorgram)

  • 이병일;최흥국
    • 한국멀티미디어학회:학술대회논문집
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    • 한국멀티미디어학회 2000년도 추계학술발표논문집
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    • pp.262-265
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    • 2000
  • 영상에서의 경계선추출은 영상의 강도의 변화를 이용한 경계영역의 가시화 기법이므로 gray level 영상이 가지는 강도를 이용하여 에지를 찾을 수 있다. 뇌 영상에는 MRI 영상과 같이 해부학적인 정보가 큰 영상과, PET 영상같이 perfusion으로 분석해야 할 영상이 있는데 그 경계가 뚜렷한 MRI 영상과 달리 PET 뇌 영상은 영상의 특성상 경계영역의 구분이 모호한 실정이다. 본 논문에서는 이러한 영상의 특성에 따라 뇌 영상에서 영상 강도에 대해 등분할을 한 후 vectorgram에서 magnitude의 영역을 선택하여 영상을 분할 하였다. 그리고 PET 와 MRI영상과 현미경 영상에 대한 결과를 비교하였다. Vertcrgram은 에지정보를 가지는 영상에 대해 벡터요소를 그래프화 한 것으로 방향성에 대한 평가를 통해 영역 분할을 하였다. 이러한 PET 영상의 2차원 분할 방법은 3차원 PET 영상 분석에 응용될 수 있을 것이다.

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HVS 기반 주파수 공간에서의 적응적인 워터마킹 (Human Visual System Based Adaptive Watermarking in Frequency Domain)

  • 박기홍;윤병민;김윤호
    • 한국항행학회논문지
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    • 제9권2호
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    • pp.170-176
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    • 2005
  • 본 논문에서 제안한 방법은 웨이블릿 변환을 사용하여 디지털 영상을 주파수 공간으로 변환시킨 후 워터마킹하는 알고리즘을 제안한다. 비가시성을 고려하여 고주파 영역을 국부 블록으로 나누어 각 블록의 대조 감도와 텍스처 감도를 계산하고, 각 계수블록에 워터마크를 삽입 시 블록 특성에 따라 가중치를 달리 하였다. 실험결과, 인간의 시각 시스템을 적용하여 워터마크를 삽입함으로써 워터마크의 강인함과 비가시성을 향상시켰다.

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감온액정을 이용한 층류유동의 속도장에 관한 실험적 연구 (An Experimental Study on Laminar Flow Velocity by Using Thermo-sensitive Liquid Crystal)

  • 장태현
    • 한국산업융합학회 논문집
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    • 제7권1호
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    • pp.19-24
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    • 2004
  • An experimental investigation was performed to study the characteristics of laminar water flow in a horizontal circular tube by using liquid crystal. A simultaneous measurement technique has been employed to measure the velocity field in a two-dimensional cross section of fluid flow. This study found the velocity distributions for Re = 1,594 ~ 2,510 along longitudinal sections and the results appear to be physically reasonable. To determine some characteristics of the laminar flow, 2D PIV technique is employed for velocity measurement by using liquid crystal in water. The experimental rig was manufactured from an acryle tube. The test tube diameter of 25mm, and a length of 1200mm. The used algorithm is the gray level cross-correlation method by using Kimura et al. in 1986.

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통계적 산출방법을 이용한 염색체 위치 탐색 (Searching Location of Chromosome Using Statistical Method)

  • 송준영;김주병;윤영로;이윤선
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1995년도 춘계학술대회
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    • pp.49-53
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    • 1995
  • In this paper, we classify between the chromosome and blood cell, and find the location of chromosome. First, the gray level images be the binary images using the threshold method. Then, the spot noises are removed by the morphological filtering. Features are obtained using the updated Run length(RL) coding and are classified using the Bayes decision rule. The performances of classification are 83.3% in chromosome and 93.3% in blood cell. Because each sub-images ($256{\times}256$) is obtained from the full image($512{\times}512$), we realize the location of chromosome if we get the corrected chromosome classifications.

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MPEG-7 Homogeneous Texture 기술자를 이용한 홍채인식 (Iris Recognition using MPEG-7 Homogeneous Texture Descriptor)

  • 이종민;한일호;김희율
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 하계종합학술대회 논문집(4)
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    • pp.45-48
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    • 2002
  • In this paper, we propose an iris recognition system using Homogeneous Texture descriptor of MPEG-7 standard. The texture of iris is generally used in iris recognition system. We segment the pupil with Hough transform and the boundary of iris with it's gray level difference between the white of the eye. To extract Homogeneous Texture descriptor, this iris image is transformed into polar coordinates. The extracted descriptor is then compared with the reference in DB. If their distance is larger than threshold, they are recognized as different iris. Test results will show that Homogeneous Texture descriptor can be a good measure for iris recognition system.

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TFT-LCD에서 새로운 접근을 통한 FRC Noise의 발생 원인 분석 및 저감 방법에 대한 연구 (The Cause Analysis and Reduction Method of the FRC Noise Through a New Approach in TFT-LCD)

  • 황종희;김혜진;최윤식
    • 전기학회논문지
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    • 제59권7호
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    • pp.1340-1345
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    • 2010
  • FRC(Frame Rate Control) has been applied to the monitor and TV product as part of cost-saving in many flat panel display manufacturers. As FRC can represent the same number of gray scale level with bits of a smaller amount than bits of the input image data, it is widely used. However, FRC causes visual artifacts by using repeatedly pre-designed the FRC unit size of block pattern in display devices. Therefore, this paper analyzes the cause of the visual artifacts. And in order to improve them, it proposed the pattern arrangement of FRC unit blocks through frame rolling method as analytic solution for the first time. So, we could embody causes of FRC noise. Using the proposed structure, more robust pattern to FRC noise will be designed.