• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.960-963
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• 1993

We focus our attention on grading of table meat in accordance with the standard of Japan Meat Grading Association, and construct a beef grading system by image processing. For image processing of beef grading, it needs some techniques such as a shading correction, separation of color image data, and classification of color image data into some grades, for the system construction. However, there are various kinds of weak points in usually used methods for these techniques. Then the authors propose and introduce new approaches using Neural networks and fuzzy inference for the techniques above mentioned, which is very convenient and ensure the high precision.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2634-2636
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• 2001

This paper proposes a new method of retrieving images from large image databases. The method is based on VQ(Vector Quantization) of local texture information at interest points automatically detected in an image. The texture features are extracted by Gabor wavelet filter bank, and rearranged for rotation. These features are classified by VQ and then construct a pattern histogram. Retrievals are performed by just comparing pattern histograms between images. Experimental results have shown the robustness of the proposed method to image rotation, small scale change, noise addition and brightness change and also shown the possibility of the retrieval by a partial image.

• Journal of Korea Multimedia Society
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• v.24 no.3
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• pp.406-415
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• 2021

The worldwide spread of the Internet and the digital information revolution have resulted in a rapid increase in the use and transmission of multimedia information due to the rapid development of communication technologies. It is important to protect images in order to prevent problems such as piracy and illegal distribution. To solve this problem, I propose a new digital color image encryption algorithm in this paper. I design a new pseudo-random number generator based on 1D five-neighborhood maximum length cellular automata (FN-MLCA) to change the pixel values of the plain image into unpredictable values. And then I use a 3D chaotic cat map to effectively shuffle the positions of the image pixel. In this paper, I propose a method to construct a new MLCA by modeling 1D FN-MLCA. This result is an extension of 1D 3-neighborhood CA and shows that more 1D MLCAs can be synthesized. The safety of the proposed algorithm is verified through various statistical analyses.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.26 no.4
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• pp.263-279
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• 2022

This paper presents an automatic inspection of defects in semiconductor images. We devise a statistical method to find defects on homogeneous background from the observation that it has a log-normal distribution. If computer aided design (CAD) data is available, we use it to construct a signed distance function (SDF) and change the pixel values so that the average of pixel values along the level curve of the SDF is zero, so that the image has a homogeneous background. In the absence of CAD data, we devise a hybrid method consisting of a model-based algorithm and two neural networks. The model-based algorithm uses the first right singular vector to determine whether the image has a linear or complex structure. For an image with a linear structure, we remove the structure using the rank 1 approximation so that it has a homogeneous background. An image with a complex structure is inspected by two neural networks. We provide results of numerical experiments for the proposed methods.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.139-142
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• 2001

This paper presents a highly fast and accurate facial region extraction method by using the skin-color-reference map and motion information. First, we construct the robust skin-color-reference map and eliminate the background in image by this map. Additionally, we use the motion information for accurate and fast detection of facial region in image sequences. Then we further apply region growing in the remaining areas with the aid of proposed criteria. The simulation results show the improvement in execution time and accurate detection.

• 제어로봇시스템학회:학술대회논문집
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• 1994.10a
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• pp.6-11
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• 1994

For a safety supervision, watching a restricted area so that no one go there is very important. This has been mostly accomplished by people. They keep an eye on many monitors at onece for a long time. It, however, is too simple and boring to concentrate it for a long time. So it's worth while to construct a watching system by image processing. And the system we made is now actually working at a certain hydroelectric power plant and some other restricted areas in Japan.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2002.11a
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• pp.355.1-355
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• 2002

Topology optimization is widely accepted as a conceptual design tool for the product design. Since the resulted layout of the topology optimization is a kind of digital images represented by the density distribution, the seamless process is required to transform digital images to the CAD model for the practical use. In this paper, the general process to construct a CAD model is developed to apply for topology images based on elements. (omitted)

• Journal of the Korean Home Economics Association
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• v.38 no.10
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• pp.85-95
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• 2000

The purpose of this study was to identify brand loyally of women's wear and construct brand positioning maps by using multidimensional scaling(MDS). There were significant differences between brand loyal and indifferent group in ages, income, occupation status and level of education. Significant differences were found between groups in the degree of importance of attributes (design/color, fashion, quality, store image, salesperson's attitude and brand reputation) when evaluating brands. The positioning maps upon the similarity and preference of brand image were composed by use of MDS.

• Journal of Korea Game Society
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• v.3 no.2
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• pp.30-34
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• 2003

Image-based rendering is an approach to generate realistic images in real-time without modeling explicit 3D geometry, Especially, TIP(Tour Into the Picture) is preferred for its simplicity in constructing 3D background scene. However, TP has a limitation that a viewpoint cannot go far from the origin of the TIP for the lack of geometrical information. in this paper, we propose a method to interpolating the TIP images to generate smooth and realistic navigation. We construct multiple TIP models in a wide area of the virtual environment. Then we interpolate foreground objects and background object respectively to generate smooth navigation results.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.416-419
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• 2004

Computer simulation has used to a area of military training in recent years. Computer simulation endow a military nan with field raining such as combat experience without operating combat strength or capabilities. To samely construct simulation environment against actual combat environment is to well construct ㏈ to operate war game model, associate among federates on network. we construct virtual combat environment enabling to efficiently manage network traffic among federates(or active nodes) on active network that construct virtual military training spare such as urgent combat field needed to rapidly transfer combat information including image and video.