• Journal of Information Processing Systems
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• v.16 no.5
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• pp.1129-1144
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• 2020

The thangka image inpainting method based on wavelet transform is not ideal for contour curves when the high frequency information is repaired. In order to solve the problem, a new image inpainting algorithm is proposed based on edge structural constraints and wavelet transform coefficients. Firstly, a damaged thangka image is decomposed into low frequency subgraphs and high frequency subgraphs with different resolutions using wavelet transform. Then, the improved fast marching method is used to repair the low frequency subgraphs which represent structural information of the image. At the same time, for the high frequency subgraphs which represent textural information of the image, the extracted and repaired edge contour information is used to constrain structure inpainting in the proposed algorithm. Finally, the texture part is repaired using texture synthesis based on the wavelet coefficient characteristic of each subgraph. In this paper, the improved method is compared with the existing three methods. It is found that the improved method is superior to them in inpainting accuracy, especially in the case of contour curve. The experimental results show that the hierarchical method combined with structural constraints has a good effect on the edge damage of thangka images.

• Journal of Dairy Science and Biotechnology
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• v.26 no.2
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• pp.57-60
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• 2008

During cheese ripening, the textural properties of cheese undergo significant changes from short, grainy, irregular to smooth, homogeneous and connected (well-net) structure. To make this change, many biochemical reactions occur during ripening and there have been tremendous researches in this topic for decades. In this review, several key parameters, such as cheese composition (especially cheese moisture and cheese pH), proteolytic activity and changes in Ca equilibrium will be discussed to understand the development of cheese texture during ripening.

• Journal of Information Processing Systems
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• v.15 no.6
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• pp.1296-1305
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• 2019

To solve the problem of poor noise suppression capability and frequent loss of edge contour and detailed information in current fusion methods, an infrared and visible light image fusion method based on variational multiscale decomposition is proposed. Firstly, the fused images are separately processed through variational multiscale decomposition to obtain texture components and structural components. The method of guided filter is used to carry out the fusion of the texture components of the fused image. In the structural component fusion, a method is proposed to measure the fused weights with phase consistency, sharpness, and brightness comprehensive information. Finally, the texture components of the two images are fused. The structure components are added to obtain the final fused image. The experimental results show that the proposed method displays very good noise robustness, and it also helps realize better fusion quality.

• Korean Journal of Human Ecology
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• v.19 no.1
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• pp.137-147
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• 2010

This research was designed to compare the subjective evaluation of texture image and preference by structure and sensible characteristics of women's suits fabrics between on- and off-line. 78 subjects who majored in fashion design evaluated the sensibility image and preference of 15 various kinds of specimens on- and off-line. Factor analysis, t-test, Pearson correlation and regression were used for a statistical analysis by SPSS WIN 13.0. The results of this study were as follows: 1. Women's suits fabrics were classified according to five sensibility image factors: 'classic', 'sophisticated', 'natural', 'characteristic', and 'practical'. 2. The results of the t-test showed that there were no differences between the on- and off-line evaluation of sensibility images. 3. The analysis of correlation indicated that the 'classic'-'sophisticated' and 'natural'- 'practical' sensibility images show a significant correlation between the two kinds of evaluation. 4. The results of regression revealed that 'sophisticated', 'characteristic' and 'practical' sensibility images had an effect on the purchase preference of women's suits fabrics. 5. 'Sophisticated', 'characteristic' and 'classic' sensibility images had an effect on the tactile preference of women's suits fabrics. 6. The structural characteristics of fabrics: thickness, weave and weight had an effect on the 'classic' sensibility image. Thickness had an effect on the 'sophisticated' sensibility image and fabric count had an effect on the 'characteristic' sensibility image.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.4
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• pp.783-794
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• 2001

This research focuses its study on the expressions of the visual images of the fashion illustration as a part of visual art and utilizes it to formulate the theoretical basis. Main findings of our research are as follows: The structure of communications in the fashion illustration is based on the four elements. They are the expression of the texture, drawings, composition, and the human body and dress. The characteristics in expression of texture level in fashion illustration can be the expression of creative texture in pattern or crease, and also can be expressed as various collage and photomontage by computer graphics. Secondly, the analysis on the characteristics of the drawings show that the drawing skills are imagination and sequential drawings. Thirdly, the characteristics of composition method are mainly shown as the application of plane composition which was previously used in avant-garde arts. Fourthly, most of the human body in the fashion illustrations are shown as the results of simplification, exaggeration and deformation in human body and also expressed or analyzed by the method of the body modification. Based on the above findings of this research we conclude that the way of expression in the fashion illustration is very similar in its composition as in visual art. However, they also show differences between the two in expression method or the method for the image development in specific expressions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.15-18
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• 2011

Up to now the incomplete texture have been manufactured through the 2D surface treatment like simple painting process or printing process. But in order to obtain 3D texture like natural object, micro scales' 3D surface structure on the surface of plastic part must be formed. In this study plastic smart phone case with 3D texture was produced by developing the surface duplication technology of natural object used electro-forming technology, by developing the press forming technology converted plane stamper to curved surface stamper and by developing the injection mold and molding technology which have been installed the curved surface stamper.

• The Transactions of the Korea Information Processing Society
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• v.7 no.11
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• pp.3592-3602
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• 2000

Image processing consist of image analysis and classification. The one is extracting of feature value in the image. The other is segimentationof image that have same properiv. A novel approach for the analysis and classification of tezture images based on statistical texture prunitive estraction are proposed. In this approach, feature vector extracting is based on stalisucal method using apatial dependence of grey level and use general lexture proerty. In is advantageous that not effiected on structure and type of lexture. These components describe the amount of roughness and softness of texture images Two leatures. Moment and Homogeneity, are componted from GLCM(gray level co-occurrence matrices) of the lexture promitive to charactenize statisical properties of the image. We show the successful experimental results by considerationof these two components fro the analysis and classificationto regular and irregular texture images.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.4
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• pp.89-97
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• 2015

In this paper, a method of color image segmentation based on DBSCAN(Density Based Spatial Clustering of Applications with Noise) using compactness of superpixels and texture information is presented. The DBSCAN algorithm can generate clusters in large data sets by looking at the local density of data samples, using only two input parameters which called minimum number of data and distance of neighborhood data. Superpixel algorithms group pixels into perceptually meaningful atomic regions, which can be used to replace the rigid structure of the pixel grid. Each superpixel is consist of pixels with similar features such as luminance, color, textures etc. Superpixels are more efficient than pixels in case of large scale image processing. In this paper, superpixels are generated by SLIC(simple linear iterative clustering) as known popular. Superpixel characteristics are described by compactness, uniformity, boundary precision and recall. The compactness is important features to depict superpixel characteristics. Each superpixel is represented by Lab color spaces, compactness and texture information. DBSCAN clustering method applied to these feature spaces to segment a color image. To evaluate the performance of the proposed method, computer simulation is carried out to several outdoor images. The experimental results show that the proposed algorithm can provide good segmentation results on various images.

• Journal of the Korean Society of Food Science and Nutrition
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• v.26 no.6
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• pp.1077-1085
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• 1997

This study was carried out to elucidate the utilization of the fusant for shortening the ripening time by making an observation of the microstructure and the profile of component change. In ripening cheese, moisture content of the sample treated with tested strain is not a remarkable difference among the test samples. With an increase of the ripening time, L. helveticus showed the highest increase in protein content, followed by fusant, and then L. bulgaricus. The fat content of all starters was gradually decreased while it was it was rapidly decreased after 7 days. The pH of all starters was gradually decreased when the ripening time increased. The titratable acidity was greatly increased between a 9th day and a 15th day ripening. In investigating the light microscopic microstructure of ripened cheese samples, the sample treated with fusant indicated little difference from the other starters in decomposition of protein and fat components by microbial enzymes. In SEM observation, the structure of all cheese samples was uniform and the rough texture was converted into smooth texture by the interaction of cheese components and the abscission of single bond in casein matrix when the ripening time is increased. The fusant showed similar results in the examination of component change and its microstructure compared with the other starters. Therefore, it was revealed that the fusant can be partially used as a cheese starter instead of conventional starters by replacing them or combining them together with the other starters for shortening the ripening time.

• Journal of the Korean Society for Railway
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• v.6 no.3
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• pp.179-185
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• 2003

This paper was to find out the design methodology for korean railway station of steel structure using by wooden structure system. Traditionally Korean architecture was made by wooden structure system what is called Gong-Po (wooden bracket structure system). The abundant ornament of Korean architecture is resulted from the composition rule of Gong-Po(wooden bracket structure system). But Korean wooden structural system have a limit in constructing large building, for example railway station, airport terminal, convention center etc. It is needed to convert wooden structure system into steel structure system. But there are many differences between wooden structure and steel structure in texture, material strength, joint system of elements etc. In this paper, we will show you how to make a joint system for steel structure of railway station and how to present the traditionality of Korean architecture in railway station.