• Proceedings of the Korea Multimedia Society Conference
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• 2001.06a
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• pp.169-172
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• 2001

영상의 특성 파악을 위해서 질감 특징이 많이 사용되고 있다 Co-occurrence matrix를 이용한 질감은 영상의 변화형태에 대한 수치자료로 다양한 함수들을 가지고 있으며, 영상의 특성에 따라서 그 함수들을 활용하여 영상의 분할과 분류에 사용하고 있다. 본 논문에서는 질감 특징을 시각화하기 위한 방법으로 GLCM의 로컬값을 새로운 픽셀값으로 하는 영상화 기법에 대해 논하였다. 실험을 통해 질감특징 중 대조적인 관계와 동일성을 가진 질감에 대한 영상을 얻을 수 있었으며, 영상 분석에 대한 시각적인 자료를 얻을 수 있었다. 질감특징은 각 항수별 특징값의 효율적인 사용을 위해 시각화되어질 필요성이 있으며 영상화되어진 질감특징영상을 이용하면 영상의 분석과 이해에 효과적인 접근이 가능하다.

• Science of Emotion and Sensibility
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• v.8 no.2
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• pp.117-128
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• 2005

The purpose of this study was to clarify the effects of constituent characteristics and the mechanical properties by KES-FB system on the visual texture images and preference of men's suit fabrics. Twenty different kinds of black fabrics, which were used mainly for the spring and summer men's suits, were selected and the subjective evaluation of the visual texture images was tested. Sixty experts in department of clothing and apparel industries participated in the subjective evaluation. Factor analysis showed visual texture images were classified into 4 categories : 'bulkiness', $'extensibility{\cdot}rapability'$, 'flexibility' and 'smoothness'. All of relationships were established between the mechanical properties and the visual texture images except the relation between 'flexibility' and bending properties. The significant factors affecting preference were 'smoothness', compression energy(WC), fabric count and 'flexibility', As the fabrics had higher value for 'smoothness' and 'flexibility' , and lower ones for compression energy and fabric count, they tended to be more preferred.

• Science of Emotion and Sensibility
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• v.7 no.3
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• pp.15-25
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• 2004

The regression analysis and Adaptive -Network based Fuzzy-inference system (ANFIS) were applied to the explanation on human's visual texture of cotton fabrics with 7 mechanical properties. The ANFIS uses the structure with fuzzy membership function and neural network. The results obtained by the statistical analysis through the coefficient of correlation and regression analysis showed that subjective texture had a linear relationship with mechanical properties. But It had a relatively low coefficient of determination and was difficult that the statistical analysis explained other relationship with the exception of a lineality and interaction among mechanical properties. Comparing the statistical analysis, the ANFIS was an effective tool to explain human's non-linear perceptions and their interactions. But to apply ANFIS to human's perceptions more effectively, it is necessary to discriminate effective input variables through controlling the properties of samples.

• Proceedings of the Korean Fiber Society Conference
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• 1998.10a
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• pp.439-443
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• 1998

인간은 시각으로 판단할 수 없는 경우 촉감을 이용하여 정보를 받아들이며 피부와 대상체 표면과의 접촉에 의해서 질감을 느낀다. 피부는 대뇌의 체성감각 피질과 관련이 있다. 피부에는 여러 가지 감각 수용체들이 산재되어 있어 손끝이 대상체 표면과 접촉했을 때 손끝의 압력변화에 의해 부드러움, 매끄러움, 딱딱함 들의 질감을 느끼게 된다. 따라서 손끝에서의 접촉 반응은 질감을 느끼는데 있어서 중요하므로 기본적인 접촉 이론에 의한 현상을 해석하여 질감 메카니즘 현상을 분석하였다. (중략)

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.5A
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• pp.709-716
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• 2000

We present an efficient algorithm using region-based average of variations of local correlation coefficients (LCC) for the extraction of texture regions. The key idea of this algorithm for the classification of texture and shade regions is to utilize the fact that the averages of the variations of LCCs according to different orientations texture regions are clearly larger than those in shade regions. In order to evaluate the performance of the proposed algorithm, we use nine test images (Lena, Bsail, Camera Man, Face, Woman, Elaine, Jet, Tree, and Tank) of 8-bit 256$\times$256 pixels. Experimental results show that the proposed feature extracts well the regions which appear visually as texture regions.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.11a
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• pp.54-57
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• 2009

This study was aimed to investigate the effects of visual texture on color emotion and to establish prediction models for color emotion by both physical color properties and visual texture characteristics. A variety of fabrics were printed by digital printer according to hue and tone combinations. Subjective sensation was evaluated in terms of visual texture for fabrics printed in gray whereas color emotion for those in chromatically printed. As results, fabric clusters by visual texture showed significant differences in color emotion factors and the differences were clearer for grayish tone fabrics. Prediction models for color emotion factors by both physical color properties and visual texture clusters were proposed as for all fabrics and grayish ones, respectively.

• Journal of the Korean Geographical Society
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• v.41 no.2 s.113
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• pp.139-149
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• 2006

Earlier research works focused on the seasonal patterns and bio-geochemical processes in sand dunes, and the satellite data and aerial photographs have been used only as a backdrop or for the multi-temporal delineation of sand dune area. In order to find the optimal way to extract features' characteristics, Gimnyeong sand dune area was selected as a study site. Field works have been carried out three times to collect ground control points and sand samples for laboratory analyses. The texture of sand dune is classified as fine sand, which has been derived from shell fragments. The sand dune penetrated into the island from northwest to southeast direction. An aerial photograph was re-sampled into one-meter resolution and rectified with software including Erdas Imagine and ENVI. Sub-scenes were chosen as samples for sand dune, urban area and rural area. K-group non-parametric analysis had been done for the geometric and spectral values of enclosed texture patches. Urban areas proved to have significant smaller patches than the others.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.11a
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• pp.8-10
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• 2015

최근 2D 와 3D 콘텐츠의 급격한 수요 증가로 인하여 2D 와 3D 공간에서 사람이 인지하는 물체의 시각적 정보량을 정량화할 필요성이 대두되었다. 본 논문에서는 정보이론에 기초하여 엔트로피 관점에서 2D 와 3D 영상의 시각적 정보량을 측정하는 방법을 제시한다. 시각적 정보량을 측정할 때, 기존의 연구에서는 고려되지 않았던 집중영역(saliency), 시각세포의 불균형으로 인한 주변영역 흐림현상인 포비에이션(foveation), 양안합성(binocular fusion)등 인간의 시각적 특성을 반영하였다는 점에서 기존의 연구들과 차이를 둔다. 2D 콘텐츠의 시각적 엔트로피는 단안시에 근거한 질감(texture) 엔트로피와 깊이 엔트로피로 구성되어 있다. 그리고 3D 콘텐츠의 시각적 엔트로피는 2D 에서의 시각적 엔트로피와 양안시에 의한 깊이 엔트로피를 포함한다. 본 논문의 시각적 엔트로피는 2D 와 3D 영상의 시각적 피로도를 측정할 때 사용될 수 있다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.1
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• pp.21-28
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• 2004

In the field of content-based image retrieval, many numerical features have been proposed for representing visual image content such as color, torture, and shape. Because the features are assumed to be independent, each of them is extracted without ny consideration of the others. In this paper, we consider the relationship between color and texture and propose a new feature called CCE(channel color energy). Simulation results with natural images show that the proposed method outperforms the conventional regular weighted comparison method and SCFT(sequential chromatic Fourier transform)-based color torture method.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.407-413
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• 2023

The purpose of this study is to provide basic information about various methods to easily affix unique embroidery effects to clothes due to the current expansion of digital fashion technology. A comparison of design techniques using virtual and real clothing was used to show the visual expression of embroidery designs. Actual embroidery motifs were created using a computer embroidery machine, DTP embroidery motifs were made by utilizing digitalization techniques, and digital motifs were produced. Then patch pocket type T-shirts were produced using each embroidery technique to compare the visual expression effects on clothing. The results of this comparison are as follows: for real clothing color (3.5), texture (4.0), gloss (3.8), and thickness (3.5). It was found that the color and thickness of the embroidery floss was visually sufficiently show the design texture and gloss. In terms of the embroidery design on virtual garments, the resutls of color (3.8), texture (4.3), gloss (3.9), and thickness (3.6) showed a high degree of similarity to the non-virtual results, confirming that digitized embroidery motifs are also a tool that can fully realize unique embroidery effect.