• 제목/요약/키워드: random texture

검색결과 84건 처리시간 0.023초

판재의 초기집합조직이 평면변형률 스트레칭 변형에 미치는 영향 (Effect of Initial Textures on the Plane Strain Stretching)

  • 배석용;이용신
    • 소성∙가공
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    • 제7권5호
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    • pp.459-464
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    • 1998
  • Effect of the several initial textures such as random texture, rolling texture and cube texture, on the plane strain stretching was studied by interpretation of the finite element method. The calculation of yield locus indicated that the sheet oriented in the cube texture exhibits easy yielding on uniaxial stress state whereas the sheet having either a random or the rolling texture exhibits easy yielding on shear deformation. Upon stretching tests, the thickness strain at the center region contacting the punch was identical regardless of the initial textures while the dependence of the thickness strain on the initial texture was found in the other regions. In general punch loads required or the sheet with an initial cube texture was as expected from calculated yield locus, lower than those for the others.

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다층 퍼셉트론과 마코프 랜덤 필드 모델을 이용한 베이지안 결 분할 (Bayesian Texture Segmentation Using Multi-layer Perceptron and Markov Random Field Model)

  • 김태형;엄일규;김유신
    • 대한전자공학회논문지SP
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    • 제44권1호
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    • pp.40-48
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    • 2007
  • 이 논문은 다중 스케일 베이지안 관점에서 다층 퍼셉트론과 마코프 랜덤 필드를 사용한 새로운 결 분할 방법을 제안한다. 다층 퍼셉트론의 출력은 사후 확률을 모델링하므로 본 논문에서는 다중 스케일 웨이블릿 계수들을 다층 퍼셉트론의 입력으로 사용한다. 다층 퍼셉트론으로부터 구한 사후 확률과 MAP (maximum a posterior) 분류를 이용하여 각 스케일에서 결 분류를 수행한다. 또한 가장 섬세한 스케일에서 더 개선된 분할 결과를 얻기 위하여 모든 스케일에서 MAP 분류 결과들을 거친 스케일에서 섬세한 스케일까지 차례로 융합한다. 이런 과정은 한 스케일에서의 분류 정보와 그 인접한 보다 거친 스케일에서 얻어지는 문맥과 관련한 연역적 정보를 이용하여 MAP 분류를 행함으로써 이루어진다. 이 융합 과정에서, MRF (Markov random fields) 사전 모델이 평탄화 제한자로서 동작하고, 깁스 샘플러 (Gibbs sampler)는 MAP 분류기로서 동작한다. 제안한 분할 방법은 HMT (Hidden Markov Trees) 모델과 HMTseg 알고리즘을 이용한 결 분할 방법보다 더 좋은 성능을 보인다.

Contextual Modeling and Generation of Texture Observed in Single and Multi-channel Images

  • Jung, Myung-Hee
    • 대한원격탐사학회지
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    • 제17권4호
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    • pp.335-344
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    • 2001
  • Texture is extensively studied in a variety of image processing applications such as image segmentation and classification because it is an important property to perceive regions and surfaces. This paper focused on the analysis and synthesis of textured single and multiband images using Markov Random Field model considering the existent spatial correlation. Especially, for multiband images, the cross-channel correlation existing between bands as well as the spatial correlation within band should be considered in the model. Although a local interaction is assumed between the specified neighboring pixels in MRF models, during the maximization process, short-term correlations among neighboring pixels develop into long-term correlations. This result in exhibiting phase transition. In this research, the role of temperature to obtain the most probable state during the sampling procedure in discrete Markov Random Fields and the stopping rule were also studied.

A Brief Review of Some Challenging Issues in Textured Piezoceramics via Templated Grain Growth Method

  • Hye-Lim Yu;Nu-Ri Ko;Woo-Jin Choi;Temesgen Tadeyos Zate;Wook Jo
    • 센서학회지
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    • 제32권1호
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    • pp.10-15
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    • 2023
  • It is well known that polycrystalline ceramics fabricated via the templated grain growth method along a desired crystallographic direction, generally along [001], exhibits enhanced piezoelectric response. Generally, the piezoelectric properties of textured ceramics depend on the degree of texture, as piezoelectric properties peak in single crystals. Therefore, understanding the relationship between the degree of texture and piezoelectric properties is fundamental. Here, we present state-of-the-art textured piezoceramics by focusing on critical issues such as the quality of templates used for texturing and proper evaluation of the degree of texture analysis. The relationship between the degree of texture and its impact on the properties of textured materials is exclusively defined by the Lotgering factor (L.F.) calculated from the X-ray diffraction profiles. Additionally, we show that L.F. is not a suitable indicator of the degree of texture, contrary to previous interpretations. This statement was further supported by the fact that the true degree of texture can be better quantified by the multiples of random distribution. This argument was justified by comparing the quantitative values of the degree of texture obtained from both methods to those of the piezoelectric charge coefficient of textured and random ceramics.

영상모델링을 이용한 표면결함검출에 관한 연구 (A Study on the Detection of Surface Defect Using Image Modeling)

  • 목종수;사승윤;김광래;유봉환
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1996년도 추계학술대회 논문집
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    • pp.444-449
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    • 1996
  • The semiconductor, which is precision product, requires many inspection processes. The surface conditions of the semiconductor chip affect on the functions of the semiconductors. The defects of the chip surface are cracks or voids. As general inspection method requires many inspection procedure, the inspection system which searches immediately and precisely the defects of the semiconductor chip surface is required. We suggest the detection algorithm for inspecting the surface defects of the semiconductor surface. The proposed algorithm first regards the semiconductor surface as random texture and point spread function, and secondly presents the character of texture by linear estimation theorem. This paper assumes that the gray level of each pixel of an image is estimated from a weighted sum of gray levels of its neighbor pixels by linear estimation theorem. The weight coefficients are determined so that the mean square error is minimized. The obtained estimation window(two-dimensional estimation window) characterizes the surface texture of semiconductor and is used to discriminate the defects of semiconductor surface.

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컬러 히스토그램과 컬러 텍스처를 이용한 내용기반 영상 검색 기법 (Cotent-based Image Retrieving Using Color Histogram and Color Texture)

  • 이형구;윤일동
    • 전자공학회논문지S
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    • 제36S권9호
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    • pp.76-90
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    • 1999
  • 본 논문은 컬러 히스토그램과 ‘컬러 텍스쳐’을 이용하는 새로운 내용기반 영상 검색 기법을 제안한다. 제안한는 방법은 영상의 컬러 히스토그램을 k-means 군집화하여 얻은 컬러 벡터로 히스토그램을 대표하고, 각 대표 컬러 벡터를 중심으로 화소 색상과의 거리를 이용해 컬러 텍스처를 만든다. 그러므로, 컬러 텍스처란 영상의 컬러 히스토그램에 의해 두드러지는 텍스처 성분을 의미하며 본 논문에서는 컬러 텍스처를 Gaussian Markov Random Field (GMRF) 모델로 해석한다. 제안하는 알고리듬은 영역화와 같은 기하학적 정보를 추출하는 과정이 없으므로 고속의 검색에 적합하며, 기존의 컬러 히스토그램만을 이용한 기법이나 영상의 밝기 성분에서 나타나는 텍스처를 이용한 방법에 비해 효과적인 검색 결과를 나타낸다.

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영역화에 기초를 둔 영상 부호화에서 영역 부호화 방법의 개선에 관한 연구 (A Study on the Improvement of Texture Coding in the Region Growing Based Image Coding)

  • 김주은;김성대;김재균
    • 대한전자공학회논문지
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    • 제26권6호
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    • pp.89-96
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    • 1989
  • 본 논문에서는 영역화에 기초를 둔 영상 부호화의 한 부분인 영역 부호화의 개선에 관한 연구가 수행되었다. 영역화시 texture의 효율적인 표현을 위하여 영상을 stochastic random field로 묘사 될 수 있는 stochastic 영역과 non-stochastic 영역으로 구분한다. 영역 부호화 및 복원시 stochastic 영역에 대해서는 autoregressive model을 이용하고 non-stochastic영역은 2차원 다항식 근사화를 이용한다. 제안 방식은 2차원 다항식 근사화만을 이용한 기존 방식보다 더 좋은 주관적 화질을 가지며, 상대적인 data 감축할 수 있었고 영상의 부호화 및 복원에 필요한 수행시간을 단축시켰다.

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계층적 Pyramid구조와 MAP 추정 기법을 이용한 Texture 영상 합성 기법 (An Image Synthesis Technique Based on the Pyramidal Structure and MAP Estimation Technique)

  • 정석윤;이상욱
    • 대한전자공학회논문지
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    • 제26권8호
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    • pp.1238-1246
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    • 1989
  • In this paper, a texture synthesis technique based on the NCAR(non-causal auto-regressive) model and the pyramid structure is proposed. In order to estimate the NCAR model parameters accurately from a noisy texture, the MAP(maximum a posteriori) estimation technique is also employed. In our approach, since the input texture is decomposed into the Laplacian oyramid planes first and then the NCAR model is applied to each plane, we are able to obtain a good synthesized texture even if the texture exhibits some non-random local structure or non-homogenity. The usrfulness of the proposed method is demonstrated with seveal real textures in the Brodatz album. Finally, the 2-dimensional MAP estimation technique can be used to the image restoration for noisy images as well as a texture image synthesis.

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CCSS 가공한 AA3103 판재에서 온간 압연 소성 거동 (Deformation Behavior during Warm Rolling in AA3103 Sheet deformed by CCSS)

  • 이재필;강형구;허무영;박종우;정영훈
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2004년도 추계학술대회논문집
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    • pp.215-217
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    • 2004
  • In order to obtain the initial starting sample having a random texture and fine grains, aluminum alloy 3103 sheets were repeatedly deformed by CCSS up to six passages and subsequently annealed at $300^{\circ}C$ for 1h. These samples were cold rolled at room temperature and also warm rolled at $250^{\circ}C$. Changes in rolling temperature gave rise to the different texture evolution. Warm rolling led to the pronounced texture gradients comprising the shear texture at the surface and the rolling texture at the sheet center. The formation of the rolling texture components, i.e., the ${\beta}$-fiber, was promoted by cold rolling than warm rolling.

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판재의 초기 이방성이 스트레칭 성형에 미치는 영향 (Effects of Initial Anisotropy in the Plane Sheet on Stretching Process)

  • 배석용;이용신
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 1998년도 춘계학술대회논문집
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    • pp.242-245
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    • 1998
  • Effects of the anisotrpy due to the initial textures in the plane sheet on plane strain punch stretching has been investigated. In this study, the anisotropy from textures in the sheet is incoporated into the finite element process model by combining the theory of crstal plasticity. Three different textures such as random texture, plane strain compression texture and cube texture are considered. Variations of puch loads as well as thickness distributions of the sheets with three different initial textures are investigated.

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