• Journal of the East Asian Society of Dietary Life
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• v.18 no.1
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• pp.22-28
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• 2008

This study was performed to aid promotion of fish paste containing Lycii fructus powder as a food. The tested concentrations of Lycii fructus powder were 0, 1, 3, 5, and 7%. All the fish paste samples had 37% water content. The L values of the samples decreased as the concentration of Lycii fructus powder increased(p<0.001), and the a- and b-value increased(p<0.001). All samples with 3 mm of thickness had good flexibility and did not break even after four times of folding. In texture meter tests, the cohesiveness increased, but gumminess and brittleness decreased according to increasing concentration of Lycii fructus' powder. In the sensory evaluation, scores for color, flavor, pleasant taste, hardness and adhesiveness increased with increasing powder concentration; however oily taste was decreased. The 3% Lycii fructus powder sample had the highest acceptance scores in terms of appearance, flavor, taste, texture and overall acceptability. The results suggest that Lycii fructus powder can be applied to fish paste for both quality and functionality.

• Journal of the Korea Fashion and Costume Design Association
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• v.3 no.1
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• pp.47-55
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• 2001

The Human Sensibility Measurement Technology, the engineering discipline that translate the imagination and good impression of human being into a physical factor for relevant product, is important to improve the quality of industrial products. This dissertation is aimed at measuring and evaluating the human sensibility for texture I presented the image scale in expectation of applying it to the production and choice of goods fitting into one's sensibility and to the coordination of goods which have similar images.

• Journal of the East Asian Society of Dietary Life
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• v.18 no.1
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• pp.9-13
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• 2008

This study was performed to investigate the quality characteristics of yanggaeng prepared with different ratios of Astragalus membranaceus powder : 2%, 4%, and 6%. Proximate composition, Hunter's color values, texture profile analysis, and sensory qualities were examined. The lightness of the yanggaeng decreased with increasing Astragalus membranaceus powder content. For the texture profile analysis, hardness increased with increasing Astragalus membranaceus powder content. In terms of sensory qualities, the 2% Astragalus membranaceus powder sample did not influence any of the sensory attributes of the yanggaeng.

• Journal of Korea Multimedia Society
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• v.7 no.4
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• pp.451-458
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• 2004

A leather quality inspection by naked eyes has known as unreliable because of its biological characteristics like accumulated fatigue caused from an optical illusion and biological phenomenon. Therefore it is necessary to automate the leather quality inspection by computer vision technique. In this paper, we present automatic leather qua1ity classification system get information from leather surface. Leather is usually graded by its information such as texture density, types and distribution of defects. The presented algorithm explain how we analyze leather information like texture density and defects from the gray-level images obtained by digital camera. The density data is computed by its ratio of distribution area, width, and height of Fourier spectrum magnitude. And the defect information of leather surface can be obtained by histogram distribution of pixels which is Windowed from preprocessed images. The information for entire leather could be a standard for grading leather quality. The proposed leather inspection system using machine vision can also be applied to another field to substitute human eye inspection.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.10a
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• pp.363-366
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• 2001

The present process of grading leather quality by the rare eyes is not reliable. Because inconsistency of grading due to eyes strain for long time can cause incorrect result of grading. Therefore it is necessary to automate the process of grading quality of leather based on objective standard for it. In this paper, leather automatic classification system consists of the process obtaining the information of leather and the process grading the quality of leather from the information. Leather is graded by its information such as texture density, types and distribution of defects. This paper proposes the algorithm which sorts out leather information like texture density and defects from the gray-level images obtained by digital camera. The density information is sorted out by the distribution value of Fourier spectrum which comes out after original image is converted to the image in frequency domain. And the defect information is obtained by the statistics of pixels which is relevant to Window using searching Window after sort out boundary lines from preprocessed images. The information for entire leather is used as standard of grading leather quality, and the proposed algorithm is practically applied to machine vision system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.7
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• pp.913-921
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• 1993

Texture mapping is mostly used as an image synthesis method in the model-based coding system. An image synthesis using this method uses only the texture information of a front face-view. Therefore, when the model is rotated, texture mapping may produce an awkward image in point of shading. In this paper. a new texture mapping method considering shading effect is studied, and also the ear's wireframe and changes of hair are suplemented for the relation. The experimental results show that the proposed method yields the synthesized images with reasonably natural quality.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.9 no.2
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• pp.144-150
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• 2000

Surface roughness is one of the most important parameters to estimate quality of products. As this reason so many studies were car-ried out through various attempts that were contact or non-contact using computer vision. Even through these efforts there were few good results in this research., however texture analysis making a important role to solve these problems in various fields including universe aviation living thing and fibers. In this study feature value of co-occurrence matrix was calculated by statistic method and roughness value of worked surface was classified, of it. Experiment was carried out using input vector of neural network with characteristic value of texture calculated from worked surface image. It's found that recognition rate of 74% was obtained when adapting texture features. In order to enhance recogni-tion rate combination type in characteristics value of texture was changed into input vector. As a result high recognition rate of 92.6% was obtained through these processes.

• The Korean Journal of Food And Nutrition
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• v.14 no.4
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• pp.333-338
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• 2001

In research. which Korean pickled cucumber was treated wish various methods, including blanching. brining in hot solution, and treating with trehalose. I examined the changes of properties of material. The Korean pickled cucumber were fermented 4∼5$^{\circ}C$ for 42 days in 1% salt solution. The physiochemical properties were pH, total acidity, total cell count, lactic acid bacteria and texture properties were also evaluated. The result showed that the effect of blanching and soaking cucumber in 100$^{\circ}C$ hot salt solution significantly reduced the softening rate of texture while a rather rapid fermentation was found for those preserved with salt. The effect of trehalose treatment inhenced fermentation but it was significantly reduced softening rate of texture. The texture evaluation of Korean pickled cucumber was found that heat treatment with blanching after soaked in hot solution and trehalose treatment had a positive effect for reduction of softening of cucumber tissue.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2000.04a
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• pp.513-518
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• 2000

Surface roughness is one of the most important parameters to estimate quality of products. As this reason. so many studies were carried out through various attempts that were contact or non-contact using computer vision. Even though these efforts, there were few good results in this research. However, texture analysis is making a important role to solve these problems in various fields including universe, aviatiion, living thing and fibers. In this study, texture parameter was obtained by means of position operator according to variation of angle direction and distance. As a result, it was found that surface texture was more effected by direction then distance

• The Journal of Natural Sciences
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• v.8 no.2
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• pp.77-82
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• 1996

New very low bit rate segmentation image coding technique is proposed by segmenting image into textually homogeneous regions. Regions are classified into on of three perceptually distinct texture classes (perceived constant intensity (class I), smooth texture (class II), and rough texture (class III) using the human Visual System (HVS) and the fractals. To design very low bit rate image coder, it is very important to determine nonoverlap and overlap segmentation method for each texture class. Good quality reconstructed images are obtained with about 0.10 to 0.21 bit per pixel (bpp) for many different types of imagery.