• Title, Summary, Keyword: texture

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Implementation of GLCM/GLDV-based Texture Algorithm and Its Application to High Resolution Imagery Analysis (GLCM/GLDV 기반 Texture 알고리즘 구현과 고 해상도 영상분석 적용)

  • Lee Kiwon;Jeon So-Hee;Kwon Byung-Doo
    • Korean Journal of Remote Sensing
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    • v.21 no.2
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    • pp.121-133
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    • 2005
  • Texture imaging, which means texture image creation by co-occurrence relation, has been known as one of the useful image analysis methodologies. For this purpose, most commercial remote sensing software provides texture analysis function named GLCM (Grey Level Co-occurrence Matrix). In this study, texture-imaging program based on GLCM algorithm is newly implemented. As well, texture imaging modules for GLDV (Grey Level Difference Vector) are contained in this program. As for GLCM/GLDV Texture imaging parameters, it composed of six types of second order texture functions such as Homogeneity, Dissimilarity, Energy, Entropy, Angular Second Moment, and Contrast. As for co-occurrence directionality in GLCM/GLDV, two direction modes such as Omni-mode and Circular mode newly implemented in this program are provided with basic eight-direction mode. Omni-mode is to compute all direction to avoid directionality complexity in the practical level, and circular direction is to compute texture parameters by circular direction surrounding a target pixel in a kernel. At the second phase of this study, some case studies with artificial image and actual satellite imagery are carried out to analyze texture images in different parameters and modes by correlation matrix analysis. It is concluded that selection of texture parameters and modes is the critical issues in an application based on texture image fusion.

Effect of Initial Texture on the Evolution of Warm Rolling Texture and Microstructure in Aluminum Alloy Sheet (알루미늄 판재의 온간압연 집합조직과 미세조직에 미치는 초기 집합조직의 영향)

  • Kim H. D.;Huh M. Y.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • pp.138-141
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    • 2001
  • The evolution of lectures and microstructure during the warm-rolling and subsequent annealing in aluminum 3004 alloy sheets was investigated by employing X-ray texture measurements and microstructure observations. Whereas the typical $\beta$-fiber orientations with the strong Bs-orientation $\{112\}<110>$ formed in the normally cold-rolled specimen, the warm-rolling at $250^{\circ}C$ led to the development of a strong through thickness texture gradient which was characterized by shear texture at the surface layer and rolling textures at the center layer After warm rolling, ultra-fine grains formed in the thickness layer with shear texture components. Upon recrystallization annealing, the $\{001\}<100>$ Cube-texture developed at the expense of normal rolling texture components the rise to the formation of corase recrystallized grains. However, in the layer with shear texture components the continuous recrystallization took place and the fine grain size persisted even after recrystallization annealing.

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Analysis and Synthesis of Structural Textures Using Projection Information (투사정보를 이용한 구조적 텍스처의 분석 및 합성)

  • 김한빈;박래홍
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.26 no.9
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    • pp.1428-1435
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    • 1989
  • In this paper we propose a new algorithm which extracts spatial arrangement information of texture elements in structural textures. In the proposed algorithm, by the use of projection information in several directions obtained from the texture image we can get two directions which determine the texture structure and the parallelogram grid which isolates texture elements. The isolated texture elements are analyzed and used to synthesize texture images. Computer simulation shows that the proposed method can extract proper spatial structure of the texture element even when the texture image is highly corrupted by additive noise.

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A Fast and Adaptive Feature Extraction Method for Textured Image Segmentation (Texture 영상 분할을 위한 고속 적응 특징 추출 방법)

  • 이정환;김성대
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.16 no.12
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    • pp.1249-1265
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    • 1991
  • In this paper, a fast and adaptive feature extraction algorithm for textured image segmentation is proposed. First, a conventional algorithm to extract the statistical texture features are described and we obtain the recursive equations from that conventional method and it is used for extraction of sevaral texture features. And also we propose the adaptive algorithm which extract the texture features. To evaluate the performance of proposed algorithm, we apply the proposed method to artificial texture images. From the results of computer simulation, the proposed method is superior to the conventional one.

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Texture superpixels merging by color-texture histograms for color image segmentation

  • Sima, Haifeng;Guo, Ping
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.7
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    • pp.2400-2419
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    • 2014
  • Pre-segmented pixels can reduce the difficulty of segmentation and promote the segmentation performance. This paper proposes a novel segmentation method based on merging texture superpixels by computing inner similarity. Firstly, we design a set of Gabor filters to compute the amplitude responses of original image and compute the texture map by a salience model. Secondly, we employ the simple clustering to extract superpixles by affinity of color, coordinates and texture map. Then, we design a normalized histograms descriptor for superpixels integrated color and texture information of inner pixels. To obtain the final segmentation result, all adjacent superpixels are merged by the homogeneity comparison of normalized color-texture features until the stop criteria is satisfied. The experiments are conducted on natural scene images and synthesis texture images demonstrate that the proposed segmentation algorithm can achieve ideal segmentation on complex texture regions.

A Study on the Recrystallization Texture of Electrodeposits (도금층의 재결정 집합조직에 관한 연구)

  • 홍상철
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • pp.184-187
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    • 1999
  • The texture of electrodeposits is related to microstructure surface morphology and mechanical properties. When the electrodeposits annealed the recrystallization texture many be different from the original deposition texture. the <100> and <110> textures of nickel electrodeposits changed to the <100> and <{{{{ SQRT {310 } }}}}> textures when recrystallized The <100> and <{{{{ SQRT {310 } }}}}> mixed texture is changed to the <100> texture. The <002> texture of Zn electrodeposits didn't changed even after recrystallization.

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The Analysis of Texture Images with Structural Characteristics (구조적 특성을 갖는 Texture 영상의 해석)

  • 갑재섭;박래홍
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.24 no.4
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    • pp.675-683
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    • 1987
  • In general, texture images with regular patterns can be described by using the standard texture model regularity vectors for their shape analysis. Early methods not only take much time but also have computational complexity in obtaining regularity vectors. The proposed some improved preprocessing algorithms for texture analysis. Finally, we showed the utility of the proposed method through texture synthesis by making use of the results of texture analysis.

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Effect of Initial Texture on the Development of Goss Orientation of Asymmetrically Rolled Steel Sheets (비대칭 압연한 강판의 GOSS 방위 발달에 미치는 초기 집합조직의 영향)

  • Lee, C.W.;Jeong, H.T.;Lee, D.N.;Kim, I.
    • Transactions of Materials Processing
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    • v.29 no.1
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    • pp.27-36
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    • 2020
  • The Goss texture component of {110}<001> is well known as one of the best texture components to improve the magnetic properties of electrical steel sheets. The small amount of the Goss texture component is obtained at the surface of the steel sheet by shear deformation due to friction between the steel sheet and the roll during conventional symmetric rolling. This study aims to identify a method to obtain high intensity of the Goss texture component not only at the surface but in the whole layer of the steel sheet by shear deformation of asymmetric rolling. Low carbon steel sheets, which have different initial texture, were asymmetrically rolled by about 50%, 70%, and 80%. The pole figures of the top, center, and bottom layers of the initial and asymmetrically rolled low carbon steel sheets were measured by an X-ray diffractometer. Based on the measured pole figures of these samples, the intensities of the main texture components were analyzed for the initial and asymmetrically rolled low carbon steel sheets. As a result, the initial low carbon steel sheet with the γ-fiber component showed a higher intensity of the Goss texture component in the whole layer than the steel sheet with other texture components after asymmetric rolling.

Implementation for Texture Imaging Algorithm based on GLCM/GLDV and Use Case Experiments with High Resolution Imagery

  • Jeon So Hee;Lee Kiwon;Kwon Byung-Doo
    • Proceedings of the KSRS Conference
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    • pp.626-629
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    • 2004
  • Texture imaging, which means texture image creation by co-occurrence relation, has been known as one of useful image analysis methodologies. For this purpose, most commercial remote sensing software provides texture analysis function named GLCM (Grey Level Co-occurrence Matrix). In this study, texture-imaging program for GLCM algorithm is newly implemented in the MS Visual IDE environment. While, additional texture imaging modules based on GLDV (Grey Level Difference Vector) are contained in this program. As for GLCM/GLDV texture variables, it composed of six types of second order texture function in the several quantization levels of 2(binary image), 8, and 16: Homogeneity, Dissimilarity, Energy, Entropy, Angular Second Moment, and Contrast. As for co-occurrence directionality, four directions are provided as $E-W(0^{\circ}),\;N-E(45^{\circ}),\;S-W(135^{\circ}),\;and\;N-S(90^{\circ}),$ and W-E direction is also considered in the negative direction of E- W direction. While, two direction modes are provided in this program: Omni-mode and Circular mode. Omni-mode is to compute all direction to avoid directionality problem, and circular direction is to compute texture variables by circular direction surrounding target pixel. At the second phase of this study, some examples with artificial image and actual satellite imagery are carried out to demonstrate effectiveness of texture imaging or to help texture image interpretation. As the reference, most previous studies related to texture image analysis have been used for the classification purpose, but this study aims at the creation and general uses of texture image for urban remote sensing.

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Clock Rolling texture and Microstructure in AA5182 (AI 5182 합금 판재의 회전압연 집합조직과 미세조직)

  • Ma J. W.;Lee K. R.;Kim H. D.;Huh M. Y.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • pp.147-149
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    • 2001
  • In order to understand the influence of the modification of deformation texture on the formation of annealing texture, the evolution of texture during the clock rolling and the subsequent annealing was investigated by employing X-ray texture measurements and microstructure observation. The $\beta$-fiber orientations were proved to be quite unstable during the clock rolling. The clock rolled texture having uniform orientation densities along $\{011\}//ND$ fiber resulted in the randomization of annealing texture. This indicated that the operation of both the oriented nucleation and the oriented growth was effectively suppressed in the clock-rolled specimen during recrystallization.

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