• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.149-152
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• 2016

In this paper, we propose an algorithm to track human body of input video from a single camera. The proposed method gets the difference image between gray image of input image and one of background image and also the difference image between hue image of input image and one of background image. Then we combine the results, splits foreground and background and detect human body objects. Then each object is numbered and is tracked. The proposed method tracks each object using the intensity and hue histogram of local area in objects. The proposed method is applied to video from a camera and tracked well the hided objects and the overlapped objects.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.4
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• pp.316-320
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• 2016

In this paper, we presents a pattern recognition by considering the spatial co-occurrence among micro-patterns of texture images. The micro-patterns of texture image have been extracted by local binary pattern based on median(MLBP) of block image, and the recognition process is based on co-occurrence among MLBPs. The MLBP is applied not only to consider the local character but also analyze the pattern in order to be robust noise, and spatial co-occurrence is also applied to improve the recognition performance by considering the global space of image. The proposed method has been applied to recognized 17 RGB images of 120*120 pixels from Mayang texture image based on Euclidean distance. The experimental results show that the proposed method has a texture recognition performance.

• Journal of the Korean Society of Food Culture
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• v.32 no.6
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• pp.476-486
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• 2017

This study surveyed the recognition, image, preference, attributes, satisfaction and revisit intention for Korean food of local Vietnamese to facilitate the globalization of Korean food. Most participants had recognized Korean food. and, they were especially aware of kimchi (김치), bulgogi (불고기) and bibimbab (비빔밥), Additionally, most repondents thought these foods represent Korean traditions and culture very well. The image of local Vietnamese for Korean food was good. Which was reflected in Korean food having "a good reputation" and a high possibility for "globalization" were high. This study also investigated 16 kinds of Korean food and found the highest preferences to be for bulgogi (불고기), followed by galbitang (갈비탕), whereas that for doenjangchigae (된장찌개) was lowest. Some of the top choice attributes of Vietnamese for Korean food were found to be in "because it is 'colorful', 'prepared sincerely', 'plated neatly', 'fresh' and 'comes with a variety of banchans (side dishes). This is a very meaningful result, making this an important reference for the globalization of Korean food. The local Vietnamese had high satisfaction and reuse intention degree for Korean food, and especially high satisfaction with the colorfulness of Korean food. In addition, the local Vietnamese showed a very high revisit intention for Korean food.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.17-22
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• 2002

This paper is concerned with a local detection of road on an airborne SAR image. The roads can be characterized by their geometry and radiometry. Roads are assumed as linear, thin, and elongated objects that are darker than their surroundings on an airborne SAR image. With these assumptions, a series of morphological filters are applied and tested successively. This approach is simple and almost non parametric and has been successfully applied to an airborne SAR image.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.2108-2111
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• 2003

This paper introduces a new local feature extraction method and image matching method for the localization and classification of targets. Proposed method is based on the block-by-block projection associated with directional pattern of blocks. Each pattern has its own eigen-vertors called as CEBs(Classified Eigen-Blocks). Also proposed block-based image matching method is robust to translation and occlusion. Performance of proposed feature extraction and matching method is verified by the face localization and FLIR-vehicle-image classification test.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.1
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• pp.61-71
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• 2017

Local festival in Korea has developed quantitatively as well qualitatively. Driving force of local festival's development is local governments' active supports. Many Local government support local festival opening actively to accomplish economic activation. Activation of local festivals is good chance to local start-up companies. Local start-up companies don't have well known brand, and wide distribution network. But they can sell their products to visitors in local festival. And if fortune smiles upon them, they can get big buyers in local festivals. If so, what factors can contribute to a increase sales of local start-up companies? Different from existing research that focus on tour industrial outcome, we will focus on effect of festival service quality on increase sales. The survey is using structured questionnaire, we surveyed visitors who visit local start-up companies' booth in festival site. According to survey result, first, each dimensions of festival service quality do not effect on purchase intention directly except empathy dimension. Second, each dimensions of festival service quality effect on purchase intention by a medium of local image indirectly except assurance dimension. And purchase intention have a great effect on purchase action. Through the results, we can confirm festival service quality effect on purchase intention by a medium of local image indirectly. we suggest that improving festival service quality can effect on sales increase of local start-up companies, and for the purpose of sales increase, local government must improve local image at first.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.1
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• pp.120-127
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• 2010

This paper presents a SR method using adaptive interpolation based on local gradient features to obtain a high quality SR image. In this method, the distance between the interpolated pixel and the neighboring valid pixel is considered by using local gradient properties. The interpolation coefficients take the local gradient of the LR images into account. The smaller the local gradient of a pixel is, the more influence it should have on the interpolated pixel. And the median filter is finally applied to reduce the blurring and noise of the interpolated HR image. Experiment results show the effectiveness of the proposed method in comparison with other methods, especially in the edge areas of the images.

• Korean Journal of Remote Sensing
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• v.36 no.4
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• pp.545-555
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• 2020

This paper focuses on automatic image registration between EO (Electro-Optical) and IR (InfraRed) satellite images with different spectral properties using block-based approach and simple preprocessing technique to enhance the performance of feature matching. If unpreprocessed EO and IR images from Kompsat-3A satellite were applied to local feature matching algorithms(Scale Invariant Feature Transform, Speed-Up Robust Feature, etc.), image registration algorithm generally failed because of few detected feature points or mismatched pairs despite of many detected feature points. In this paper, we proposed a new image registration method which improved the performance of feature matching with block-based registration process on 9-divided image and pre-processing technique based on adaptive histogram equalization. The proposed method showed better performance than without our proposed technique on visual inspection and I-RMSE. This study can be used for automatic image registration between various images acquired from different sensors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.10
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• pp.5006-5022
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• 2017

Effect and robust detection of targets in infrared images has crucial meaning for many applications, such as infrared guidance, early warning, and video surveillance. However, it is not an easy task due to the special characteristics of the infrared images, in which the background clutters are severe and the targets are weak. The recent literature demonstrates that sparse representation can help handle the detection problem, however, the detection performance should be improved. To this end, in this text, a hybrid method based on local sparse representation and contrast is proposed, which can effectively and robustly detect the infrared targets. First, a residual image is calculated based on local sparse representation for the original image, in which the target can be effectively highlighted. Then, a local contrast based method is adopted to compute the target prediction image, in which the background clutters can be highly suppressed. Subsequently, the residual image and the target prediction image are combined together adaptively so as to accurately and robustly locate the targets. Based on a set of comprehensive experiments, our algorithm has demonstrated better performance than other existing alternatives.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.2 s.314
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• pp.19-26
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• 2007

In the sigma filter, there is a specialized neighbours distribution scheme in which the sigma value is computed from local statistics. It is designed to modify a standard average filter to preserve edges. However this filter is vulnerable to details-enhancement and conventional sigma approaches have been focused on denoising, not enhancing the characteristic area. This paper proposes an adaptive image enhancement algorithm using local statistics and functional synthesis which are utilized for adaptive realization of the enhancement, so that not only image noise may be smoothed but also details may be enhanced. For the local adaptation, parameters are estimated and weighted at each moving window that satisfy the criteria. The experimental results illuminates the effectiveness of the proposed method.