• The Korean Journal of Food And Nutrition
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• v.20 no.4
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• pp.427-432
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• 2007

The texture and descriptive sensory characteristics of a Korean rice cake(Karedduk) with added emulsifier were investigated after 2 and 24 hrs of storage at $5^{\circ}C$. The emulsifier, SP, was added at 0, 0.1, 0.5 and 1% levels to the dry rice flour. In the amylogram, the peak viscosity(P), hot paste viscosity(H) and cold paste viscosity(C) of the rice flour with added emulsifier were higher than those of the control. The texture property analysis by a Texture Analyzer revealed that the springiness, cohesiveness and adhesiveness of the Korean rice cake(Karedduk) with added emulsifier were similar to those of the control, while chewiness, gumminess and hardness were lower compared to the control. Also, the hardness by sensory characteristics was significantly different as compared to the control. Lastly, adding emulsifier to the Korean rice cake(Karedduk) was effective at retarding retrogradation.

• Korean Journal of Computational Design and Engineering
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• v.9 no.4
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• pp.397-405
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• 2004

Texture mapping is the process of covering 3D models with texture images in order to increase the visual realism of the models. For proper mapping the coordinates of texture images need to coincide with those of the 3D models. When projective images from the camera are used as texture images, the texture image coordinates are defined by a camera calibration method. The texture image coordinates are determined by the relation between the coordinate systems of the camera image and the 3D object. With the projective camera images, the distortion effect caused by the camera lenses should be compensated in order to get accurate texture coordinates. The distortion effect problem has been dealt with iterative methods, where the camera calibration coefficients are computed first without considering the distortion effect and then modified properly. The methods not only cause to change the position of the camera perspective line in the image plane, but also require more control points. In this paper, a new iterative method is suggested for reducing the error by fixing the principal points in the image plane. The method considers the image distortion effect independently and fixes the values of correction coefficients, with which the distortion coefficients can be computed with fewer control points. It is shown that the camera distortion effects are compensated with fewer numbers of control points than the previous methods and the projective texture mapping results in more realistic image.

• The Korean Journal of Food And Nutrition
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• v.22 no.2
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• pp.185-191
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• 2009

This study investigated the effects of adding hard and soft wheat flour to Korean rice cakes(Karedduk) to retard retrogradation, by examining texture properties and descriptive sensory qualities after 2 and 24 hrs of storage at $5^{\circ}C$. The hard and soft wheat flour were combined with dry rice flour at levels of 0, 5, 10, and 20%. The texture properties, as analyzed by a Texture Analyzer, revealed that the springiness, cohesiveness, and adhesiveness of the rice cakes containing wheat flour were similar to those of the control, while chewiness, gumminess, and hardness were lower compared to the control. Also, in sensory analyses, hardness was significantly different in the rice cakes containing wheat flour compared to the control after 24 hrs of storage at $5^{\circ}C$. Overall, the instrumental texture properties were highly correlated with the sensory characteristics. These results suggest that adding hard and soft wheat flour to Korean rice cakes(Karedduk) is effective at retarding retrogradation.

• 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.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.5
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• pp.469-475
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• 2010

This paper presents a method of classifying discolored defects of metal pads using geometric texture for AFVI (Automated Final Vision Inspection) systems. In PCB manufacturing process, the metal pads on PCB can be oxidized and discolored partly due to various environmental factors. Nowadays the discolored defects are manually detected and rejected from the process. This paper proposes an efficient geometric texture feature, SUTF (Symmetry and Uniformity Texture Feature) based on the symmetric and uniform textural characteristics of the surface of circular metal pads for automating AFVI systems. In practical experiments with real samples acquired from a production line, 30 discolored images and 1232 roughness images are tested. The experimental results demonstrate that the proposed method using SUTFs provides better performance compared to Gabor feature with 0% FNR (False Negative Rate) and 1.46% FPR (False Positive Rate). The performance of the proposed method shows its applicability in the real manufacturing systems.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.8
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• pp.778-785
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• 2009

This paper presents a Gabor texture feature extraction method for classification of discolored Metal pad images using GPU(Graphics Processing Unit). The proposed algorithm extracts the texture information using Gabor filters and constructs a pattern map using the extracted information. Finally, the golden pad images are classified by utilizing the feature vectors which are extracted from the constructed pattern map. In order to evaluate the performance of the Gabor texture feature extraction algorithm based on GPU, a sequential processing and parallel processing using OpenMP in CPU of this algorithm were adopted. Also, the proposed algorithm was implemented by using Global memory and Shared memory in GPU. The experimental results were demonstrated that the method using Shared memory in GPU provides the best performance. For evaluating the effectiveness of extracted Gabor texture features, an experimental validation has been conducted on a database of 20 Metal pad images and the experiment has shown no mis-classification.

• International Journal of Control, Automation, and Systems
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• v.2 no.1
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• pp.125-133
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• 2004

In this paper, we present a new method that combines the characteristics of edge in-formation and second-order neural networks for the classification of structural textures. The edges of a texture are extracted using an edge detection approach. From this edge information, classification features called second-order features are obtained. These features are fed into a second-order neural network for training and subsequent classification. It will be shown that the main disadvantage of using structural methods in texture classifications, namely, the difficulty of the extraction of texels, is overcome by the proposed method.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.406-407
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• 2012

Texture transfer is a NPR technique for expressing various styles according to source (reference) image. By late 2000s, there are many texture transfer researches. But video base researchers are not active. Moreover, they didn't use important feature like directional information which need to express detail characteristics of target. So, we propose a new method to generate texture transfer animation (using video) with directional effect for maintaining temporal coherence and controlling coherence direction of texture. For maintaining temporal coherence, we use optical flow and confidence map to adapt for occlusion/disocclusion boundaries. And we control direction of texture for taking structure of input. For expressing various texture effects according to different regions, we calculate gradient based on directional weight. With these techniques, our algorithm can make animation result that maintain temporal coherence and express directional texture effect. It is reflect the characteristics of source and target image well. And our result can express various texture directions automatically.

• Journal of the East Asian Society of Dietary Life
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• v.15 no.1
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• pp.106-111
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• 2005

The gamma irradiation effect of dried fernbraken was investigated on the physical and sensory qualities during and after soaking process. Dried fernbraken packaged in vacuum was irradiated up to 7 kGy with v-ray produced by 132 Cs at 0℃. Moisture content and rehydration rate of gamma-irradiated fernbraken after soaking increased significantly depending on the irradiation doses(p<0.05). Lightness(L), redness(a) and yellowness(b) values of Hunter color system increased significantly in the gamma-irradiated fernbraken after soaking, compared with control, while the hardness and chewiness by the texture analyser decreased significantly in irradiated ones. Sensory evaluation results showed that the mean scores of flavor, appearance, taste, texture and over-all acceptability in soaked fernbraken irradiated were not significantly different from those in control, except higher preference score of texture in irradiated ones. From these results, it might be concluded that the irradiation does not affect the physical and sensory qualities of dried fernbraken during and after soaking, especially in texture.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.9
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• pp.76-90
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• 1999

In this paper, a color image retrieval algorithm is proposed based on color histogram and color texture. The representative color vectors of a color image are made from k-means clustering of its color histogram, and color texture is generated by centering around the color of pixels with its color vector. Thus the color texture means texture properties emphasized by its color histogram, and it is analyzed by Gaussian Markov Random Field (GMRF) model. The proposed algorithm can work efficiently because it does not require any low level image processing such as segmentation or edge detection, so it outperforms the traditional algorithms which use color histogram only or texture properties come from image intensity.