• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.11
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• pp.105-114
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• 2015

This paper proposes methods to remove background area and segment region of interest (ROI) in chest X-ray images. Conventional algorithms to improve detail or contrast of images normally utilize brightness and frequency information. If we apply such algorithms to the entire images, we cannot obtain reliable visual quality due to unnecessary information such as background area. So, we propose two effective algorithms to remove background and segment ROI from the input X-ray images. First, the background removal algorithm analyzes the histogram distribution of the input X-ray image. Next, the initial background is estimated by a proper thresholding on histogram domain, and it is removed. Finally, the body contour or background area is refined by using a popular guided filter. On the other hand, the ROI, i.e., lung segmentation algorithm first determines an initial bounding box using the lung's inherent location information. Next, the main intensity value of the lung is computed by vertical cumulative sum within the initial bounding box. Then, probable outliers are removed by using a specific labeling and the pre-determined background information. Finally, a bounding box including lung is obtained. Simulation results show that the proposed background removal and ROI segmentation algorithms outperform the previous works.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.3
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• pp.1264-1286
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• 2018

In this paper, a novel background prior-based salient object detection framework is proposed to deal with images those are more complicated. We take the superpixels located in four borders into consideration and exploit a mechanism based on image boundary information to remove the foreground noises, which are used to form the background prior. Afterward, an initial foreground prior is obtained by selecting superpixels that are the most dissimilar to the background prior. To determine the regions of foreground and background based on the prior of them, a threshold is needed in this process. According to a fixed threshold, the remaining superpixels are iteratively assigned based on their proximity to the foreground or background prior. As the threshold changes, different foreground priors generate multiple different partitions that are assigned a likelihood of being foreground. Last, all segments are combined into a saliency map based on the idea of similarity voting. Experiments on five benchmark databases demonstrate the proposed method performs well when it compares with the state-of-the-art methods in terms of accuracy and robustness.

• Journal of the Korea Society of Computer and Information
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• v.6 no.4
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• pp.168-178
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• 2001

The purpose of this thesis is to study an effect for the relation between internet addiction of adolescent and family & school background in information society, and for this study I did a factor analysis. This study surveyed with questionnaire, and analyzed 666 valid samples through SPSS program. As a result of factor analysis, in family background, ‘educational method of parents is a democratic’, ‘concerning of parents and offsprings’ and ‘intimacy of parents and of offsprings’ have main factors of family background for internet addiction of adolescent. In school background, ‘intimacy of teachers and students’, ‘satisfaction of school's educational system’, and ‘relationship among the friends in school’have main factors of school background of internet addiction of adolescent.

• Journal of Internet Computing and Services
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• v.17 no.4
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• pp.127-133
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• 2016

In the present knowledge and information society, every citizen can enjoy benefits of various advanced technologies such as information and communication technology(ICT) and smart technology. Nowadays everybody has to have some level of information literacy and application ability in order to enjoy benefits from various advanced technologies. In additions, knowledge and practice will about information and communication ethics are also required for all. Currently we need some kind of standards to evaluate and model everybody's information literacy and application capability. In this sense, information culture index has been developed to check information literacy and application capability of every citizen for various aspects of daily life. Information culture index consists of three standards, that is, application, awareness, and norm, respectively. Application standard indicates how information contents and skills are generalized for all. In other words, it is concerned with how every citizen can understand information literacy and use information skills in his or her daily life. Awareness standard is concerned with how well everyone can respect and trust others in the current information culture community. Norm standard is concerned with how everyone can use information communication services according to his or her desirable sense of information and communication ethics. The purpose of this paper is to analyze correlation between academic background and three standards of information culture index, that is, application, awareness, and norm. For this purpose, we use 2-year national survey works for information culture. After thorough statistical analysis, we can conclude that, awareness and norm standards do not show a meaningful correlation with academic background while application standard shows a meaningful correlation with academic background, It means that, the higher academic background one has, the higher application standard one can achieve. We expect that our correlation analysis results can be helpful to spread of information education and information culture in the future.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.5
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• pp.472-477
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• 2016

The most important and critical to the performance of video surveillance systems is to be detected exactly how much. In order to accurately track the object must be able to accurately separate the background and object. However, the system itself rather than the human vision exactly distinguish the object and the background, to assess the situation, it is not easy. If we can accurately detect the background and the object, to be able to accurately track an object, it is possible to increase the reliability of the system, have a significant impact on the success of the entire production system. In this paper, we propose a way to distinguish more precisely the background and the object being to determine the background environment changes more accurately.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.4
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• pp.834-847
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• 1996

A selective coding scheme is proposed that describes a method for coding image sequences distinguishing bits between background and target region. The suggested method initially estimates global motion parameters and local motion vectors. Then segmentation is performed with a hierarchical clustering scheme and a quadtree algorithm in order to divide the processing image into the backgraound and target region. Finally image coding is done by assigning more bits to the target region and less bits to background so that the target region may be reconstructed with high quality. Simulations show that the suggested algorithm performs well especially in the circumstances where background changes and target regionis small enough compared with that of background.

• International Journal of Knowledge Content Development & Technology
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• v.3 no.2
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• pp.5-27
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• 2013

The purpose of the study is to assess the professional inclination, academic and social background, family status and their occupation, gender distribution, choice of work, and their perceptions of aspirant LIS students. The study examined the various career choice factors and sources of motivation that influence the students of LIS profession. The data has been collected from the 251 LIS students' enrolled five prominent universities of North India. The results indicate that majority of female students join the LIS profession because of employment opportunities. Most of the respondents are from rural areas, hails to middle class families and their educational background in Arts/Humanities and Social Science subjects. Majority of the respondents choose the LIS profession as primary career because for the better employment possibilities. The study recommends the public awareness about the LIS profession in India.

• Research in Mathematical Education
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• v.7 no.4
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• pp.247-270
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• 2003

The purpose of this study is to build a model that explains the relationship between and among five variables that are student background, teacher background, home environment, school characteristic, and student mathematics achievement, using structural equation modeling. Another purpose of this study is to compare the relationships of these variables between the United States and Korea in 7th and 8th grades mathematics. Student, teacher, and school background files from population 2 in the TIMSS were selected for this study. The result of the study provides practical information for teachers, parents, school principals, and other people who are interested in improving student achievement, and also provides the information that may explain differences and similarities between the US and Korea in mathematics achievement.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.17 no.1
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• pp.47-54
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• 2013

This work deals with automatic motion detection for with surveillance tracking that aims to provide high-lighting movable objects which is discriminated from moving backgrounds such as moving trees, etc. For this aim, we perform a false background region detection together with an initial foreground detection. The false background detection detects the moving backgrounds, which become eliminated from the initial foreground detection. This false background detection is done by performing the bimodal segmentation on a deformed image, which is constructed using the information of the dominant colors in the background.

• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.1
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• pp.25-31
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• 2008

In this paper, we propose a new method that separates background and foreground from stereo images. This method can be improved automatic target tracking system by using disparity map of the stereo vision system and background-separating mask, which can be obtained camera configuration parameters. We use disparity map and camera configuration parameters to separate object from background. Disparity map is made with block matching algorithm from stereo images. A morphology filter is used to compensate disparity error that can be caused by occlusion area. We could obtain a separated object from background when the proposed method was applied to real stereo cameras system.