• Title, Summary, Keyword: texture

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Development of Giant Squid (Ommastrephes bartrami) Surimi-based Products with Gel Texture Enhancers and the Effects of Setting on Gel Quality (겔 강화제를 첨가한 대왕오징어 어묵 개발 및 이의 품질에 대한 Setting의 영향)

  • Choi, Seung-Hwa;Kim, Sang-Moo
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.41 no.7
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    • pp.975-981
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    • 2012
  • Setting is an important process for the control of surimi quality in industry because it can improve the gel texture and water-holding capacity of surimi-based products. Therefore, the effect of setting on giant squid surimi-based product was analyzed via a mixture model. Konjac flour and microbial transglutaminase were used as texture enhancers. Both texture enhancers improved the texture and water retention ability (WRA) of giant squid surimi-based products, while decreasing the whiteness. Setting also improved the gel texture and WRA, while having no effect on the whiteness. Based on the sensory evaluation, the product with gel texture enhancers was better than the control and similar to commercial surimi products. Therefore, the applications of gel texture enhancers and setting are very important for the manufacture of giant squid surimi-based products.

Texture Garbage Elimination Algorithm for Exemplar-based Image Inpainting (예제기반 영상 인페인팅을 위한 텍스쳐 가비지 제거 알고리즘)

  • Kong, Young Il;Lee, Si-Woong
    • Journal of Broadcast Engineering
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    • v.24 no.1
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    • pp.186-189
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    • 2019
  • Image inpainting is an image processing technique that restores an image by naturally filling the empty or damaged regions in an image. In this paper, we present a new image inpainting technique that can suppress the generation of texture garbage which is one of the artifacts of existing exemplar-based image inpainting. Unlike the existing technique, only the stationary source patch is sampled as the exemplar patch based on the assumption of spatial stationarity of the texture. This prevents the texture garbage, which is an inconsistent piece of texture from being copied to the target region. Experimental results show that the texture synthesis using the proposed method produces more natural inpainting results than the existing method.

A Study of Texture Through the Depth of Core for BSCCO Superconductor Tape with Pole Figure Analysis (BSCCO 선재에서 극점도를 통한 초전도심의 깊이에 따른 집합조직 연구)

  • 지봉기;주진호;나완수;류경우;박노진
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.14 no.6
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    • pp.499-504
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    • 2001
  • We evaluated the degree of texture through depth of the superconductor core of Bi-Sr-Ca-Cu-O(BSCCO) superconductor tape. The degree of texture was characterized by pole figure analysis indicating that the degree of texture varied significantly with depth of the superconductor core. It was observed that the degree of texture was higher near the interface than inside the superconductor core. Specifically, as getting near to the center from the sheath/core interface, the orientation of BSCCO became dispersed from normal direction(ND) which, in turn, resulted in the degradation of <001>-fiber texture. In addition, the <001> texture was non-uniform an, better texture was developed along rolling direction(RD), compared to transverse direction(TD). Microstructural investigation showed that grain alignment was locally degraded by the existence of second phases. I was observed that larger grain size and better texturing were developed near the relatively straight interface compared to those inside the superconducting core. Based on our study, the region near the interface is thought to carry significant current compared to that inside the core.

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Formation of Shear Texture and Microstructure in AA3004 Sheet (AA3004에서 전단변형 미세조직 및 집합조직의 형성)

  • 이강노;김종국;김훈동;황병복;허무영
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • pp.184-186
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    • 2002
  • The evolution of texture and microstructure during warm rolling and subsequent annealing in aluminium 3004 alloy sheet was investigated by X-ray texture measurements and microstructure observations. Warm rolling at 250$^{\circ}C$ led to the development of strong through thickness texture gradients with shear textures at the surface layer and a regular rolling texture in the center of the sheets. FEM simulations indicated that these texture gradients are caused by pronounced strain gradients throughout the sheet thickness. Upon recrystallization annealing, in the sheet center the characteristic cube-recrystallization texture developed, while in the surface layers with a pronounced shear texture continuous recrystallization took place which led to the formation of a very fine grained microstructure. It is concluded that the very complex strain history in the near-surface layers together with the resulting high work-hardening rate gave rise to the formation of the ultra-fine grains with an average size smaller than 2$\mu\textrm{m}$.

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A Study of Efficient Pattern Classification on Texture Feature Representation Coordinate System (텍스처 특징 표현 좌표체계에서의 효율적인 패턴 분류 방법에 대한 연구)

  • Woo, Kyeong-Deok;Kim, Sung-Gook;Baik, Sung-Wook
    • Journal of Korea Multimedia Society
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    • v.13 no.2
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    • pp.237-248
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    • 2010
  • When scenes in the real world are perceived for the purpose of computer/robot vision fields, there are great deals of texture based patterns in them. This paper introduces a texture feature representation on a coordinate system in which many different patterns can be represented with a mathematical model (Gabor function). The representation of texture features of each pattern on the coordinate system results in the high performance/competence of texture pattern classification. A decision tree algorithm is used to classify pattern data represented on the proposed coordinate system. The experimental results for the texture pattern classification show that the proposed method is better than previous researches.

Texture Cache with Automatical Index Splitting Based on Texture Size (텍스처의 크기에 따라 인덱스를 자동 분할하는 텍스처 캐시)

  • Kim, Jin-Woo;Park, Young-Jin;Kim, Young-Sik;Han, Tack-Don
    • Journal of Korea Game Society
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    • v.8 no.2
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    • pp.57-68
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    • 2008
  • Texture Mapping is a technique for adding realism to an image in 3D graphics Chip. Bilinear filtering mode of this technique needs accesses of 4 texels to process one pixel. In this paper we analyzed the access pattern of texture, and proposed the high performance texture cache which can access 4 texels simultaneously. We evaluated using simulation results of 3D game(Quake 3, Unreal Tournament 2004). Simulation results show that proposed texture cache has high performance on the case where physical size is less then or equal 8KBytes.

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Evaluation of Volumetric Texture Features for Computerized Cell Nuclei Grading

  • Kim, Tae-Yun;Choi, Hyun-Ju;Choi, Heung-Kook
    • Journal of Korea Multimedia Society
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    • v.11 no.12
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    • pp.1635-1648
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    • 2008
  • The extraction of important features in cancer cell image analysis is a key process in grading renal cell carcinoma. In this study, we applied three-dimensional (3D) texture feature extraction methods to cell nuclei images and evaluated the validity of them for computerized cell nuclei grading. Individual images of 2,423 cell nuclei were extracted from 80 renal cell carcinomas (RCCs) using confocal laser scanning microscopy (CLSM). First, we applied the 3D texture mapping method to render the volume of entire tissue sections. Then, we determined the chromatin texture quantitatively by calculating 3D gray-level co-occurrence matrices (3D GLCM) and 3D run length matrices (3D GLRLM). Finally, to demonstrate the suitability of 3D texture features for grading, we performed a discriminant analysis. In addition, we conducted a principal component analysis to obtain optimized texture features. Automatic grading of cell nuclei using 3D texture features had an accuracy of 78.30%. Combining 3D textural and 3D morphological features improved the accuracy to 82.19%. As a comparative study, we also performed a stepwise feature selection. Using the 4 optimized features, we could obtain more improved accuracy of 84.32%. Three dimensional texture features have potential for use as fundamental elements in developing a new nuclear grading system with accurate diagnosis and predicting prognosis.

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Comparisons of MPEG-7 Texture Descriptors for Iris recognition (MPEG-7 텍스쳐 서술자의 홍채 인식에 대한 성능 비교)

  • Choo, Hyon-Gon;Kim, Whoi-Yul
    • The KIPS Transactions:PartB
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    • v.11B no.4
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    • pp.421-428
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    • 2004
  • There are three texture descriptors in MPEG-7 : Homogeneous Texture, Edge Histogram and Texture Browsing. In this paper, a comparative analysis is presented on the capability of MPEG-7 texture descriptors for iris recognition as part of an MPEG-7 application using descriptors. Through the experiments of comparing the clustering efficiency and error distribution of the descriptors using 560 iris images, their discriminating capabilities for different iris groups are analyzed. The results show that Homogenous Texture descriptor is the best discriminator among three descriptors to recognize the iris pattern. However, compared with the conventional iris recognition methods, it needs more efforts to enhance the results.

Multiple Texture Objects Extraction with Self-organizing Optimal Gabor-filter (자기조직형 최적 가버필터에 의한 다중 텍스쳐 오브젝트 추출)

  • Lee, Woo-Beom;Kim, Wook-Hyun
    • The KIPS Transactions:PartB
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    • v.10B no.3
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    • pp.311-320
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    • 2003
  • The Optimal filter yielding optimal texture feature separation is a most effective technique for extracting the texture objects from multiple textures images. But, most optimal filter design approaches are restricted to the issue of supervised problems. No full-unsupervised method is based on the recognition of texture objects in image. We propose a novel approach that uses unsupervised learning schemes for efficient texture image analysis, and the band-pass feature of Gabor-filter is used for the optimal filter design. In our approach, the self-organizing neural network for multiple texture image identification is based on block-based clustering. The optimal frequency of Gabor-filter is turned to the optimal frequency of the distinct texture in frequency domain by analyzing the spatial frequency. In order to show the performance of the designed filters, after we have attempted to build a various texture images. The texture objects extraction is achieved by using the designed Gabor-filter. Our experimental results show that the performance of the system is very successful.

Multiple Texture Image Recognition with Unsupervised Block-based Clustering (비교사 블록-기반 군집에 의한 다중 텍스쳐 영상 인식)

  • Lee, Woo-Beom;Kim, Wook-Hyun
    • The KIPS Transactions:PartB
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    • v.9B no.3
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    • pp.327-336
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    • 2002
  • Texture analysis is an important technique in many image understanding areas, such as perception of surface, object, shape and depth. But the previous works are intend to the issue of only texture segment, that is not capable of acquiring recognition information. No unsupervised method is basased on the recognition of texture in image. we propose a novel approach for efficient texture image analysis that uses unsupervised learning schemes for the texture recognition. The self-organization neural network for multiple texture image identification is based on block-based clustering and merging. The texture features used are the angle and magnitude in orientation-field that might be different from the sample textures. In order to show the performance of the proposed system, After we have attempted to build a various texture images. The final segmentation is achieved by using efficient edge detection algorithm applying to block-based dilation. The experimental results show that the performance of the system Is very successful.