• Journal of the Korea Institute of Military Science and Technology
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• v.7 no.3 s.18
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• pp.101-109
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• 2004

Image enhancement for Infrared imaging system is mainly based on the global histogram equalization. The global histogram equalization(GHE) is a method in which each pixel is equalized by using a whole histogram of an image. GHE is speedy and effective for real-time imaging system but its method fails to enhance the fine details. On the other hand, the basic local histogram equalization(LHE) method uses sliding a window and. the pixels under the window region are equalized over the whole output dynamic range. The LHE is adequate to enhance the fine details. But this method is computationally slow and noises are over-enhanced. So various local histogram equalization methods have been already presented to overcome these problems of LHE. In this paper, a new regional dynamic range histogram equalization (RDRHE) is presented. RDRHE improves the equalization quality while reducing the computational burden.

• Journal of the Korean Regional Science Association
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• v.11 no.2
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• pp.99-109
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• 1995

This paper first introduces the concept of image as a key factor in recognition, and city identity as the dominant image of a region which is commonly possessed by individuals living and working in the region. Then, the new approach toward planning, the notion of self-organization associated with images and positive feedback mechanisms in terms of city vitalization, is discussed. Thirdly, carrying out the case study of a process in which Iida City in Japan has acquired a city identity as a puppet drama town, we present four stages in planning for city identity four stages and discuss the phenomena of city image self-organization. Finally, it is pointed out that multimedia are effective measures for the promotion of self-organization of city images, and that the role of local governments is very important in city planning to support the self-organization of cities.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.10
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• pp.2464-2478
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• 2013

Image stitching techniques produce an image with a wide field-of-view by aligning multiple images with a narrow field-of-view. While conventional algorithms successfully stitch images with a small parallax, structure misalignment may occur when input images contain a large parallax. This paper presents an image stitching algorithm that aligns images with a large parallax by regional linear warping. To this end, input images are first approximated as multiple planar surfaces, and different linear warping is applied to each planar surface. For approximating input images as multiple planar surfaces, the concept of dominant edges is introduced. Dominant edges are defined as conspicuous edges of lines in input images, and extracted dominant edges identify the boundaries of each planar surface. Dominant edge extraction is conducted by detecting distinct changes of local characteristics around strong edge pixels. Experimental results show that the proposed algorithm successfully stitches images with a large parallax without structure misalignment.

• Korean Journal of Remote Sensing
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• v.28 no.6
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• pp.611-622
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• 2012

This study proposed two multisensor fusion methods for segment-based image classification utilizing a region-growing segmentation. The proposed algorithms employ a Gaussian-PDF measure and an evidential measure respectively. In remote sensing application, segment-based approaches are used to extract more explicit information on spatial structure compared to pixel-based methods. Data from a single sensor may be insufficient to provide accurate description of a ground scene in image classification. Due to the redundant and complementary nature of multisensor data, a combination of information from multiple sensors can make reduce classification error rate. The Gaussian-PDF method defines a regional measure as the PDF average of pixels belonging to the region, and assigns a region into a class associated with the maximum of regional measure. The evidential fusion method uses two measures of plausibility and belief, which are derived from a mass function of the Beta distribution for the basic probability assignment of every hypothesis about region classes. The proposed methods were applied to the SPOT XS and ENVISAT data, which were acquired over Iksan area of of Korean peninsula. The experiment results showed that the segment-based method of evidential measure is greatly effective on improving the classification via multisensor fusion.

• Journal of the Korean association of regional geographers
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• v.14 no.2
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• pp.159-172
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• 2008

The purpose of this study is to analyse the content of regional learning in social studies textbooks for the 1st-year and 3rd-year middles school. The content of regional learning in social studies for middle school is described with not layered scale between local and global but segmented scale. So this study selected Andong city as an exemplary case and reconstructed the learning content and class to things necessary in the age of globalization. In the class for designing the local image of Andong, the students were advised to visit the homepage in Andong city. In the course. students showed increasing interest in local festivals, events, locality promotion, etc. executed by Andong. Many of the students were interested in activity designing new local images of Andong. In particular, According to the result of applying localization learning necessary in the age of globalization to 1st-year middle school students, the class was found to be understood adequately. It is needed to develop localization teaching-learning programs fit for the developmental stage of 1st-year middle school students.

• Journal of The Korean Society of Agricultural Engineers
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• v.59 no.2
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• pp.81-90
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• 2017

Recent floodplain data are important for river master plan, storm and flood damage reduction comprehensive plan and pre-disaster impact assessment. Hazard map, base of floodplain data, is being emphasized as important method of non-structural flood prevention and consist of inundation trace map, inundation expected map and hazard information map. Inundation trace map describes distribution of area that damaged from typhoons, heavy rain and tsunamis and includes identified flood level, flood depth and flood time from flooding area. However due to lack of these data by local government, which are foundational and supposed to be well prepared nationwide, having hard time for making inundation trace map or hazard information map. To overcome this problem, time consumption and budget reduction is required through various research. From this study, DEM (Digital Elevation Model) from image material from UAVS (Unmanned Aerial Vehicle System) and numeric geographic map from National Geographic Information Institute are used for calculating flooding damaged area and compared with inundation trace map. As results, inundation trace map DEM based on image material from UAVS had better accuracy than that used DEM based on numeric geographic map. And making hazard map could be easier and more accurate by utilizing image material from UAVS than before.

• Journal of Korea Multimedia Society
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• v.24 no.3
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• pp.508-517
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• 2021

In this study, the possibility of contents was explored by extracting materials that can be used as regional-specific contents. To this end, the possibility of local content specialization was examined for Eomuk, the representative food of Busan. First, it looked at the content process of Busan's regional-specific material and developed it as a character. Next, it looked at the story development and the process of incorporating it into animation. In the future, based on this study, we would like to present guidelines for the spread of Korean-style regional-specific content.

• Journal of KIISE:Software and Applications
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• v.28 no.5
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• pp.389-401
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• 2001

This paper proposes an abstraction mechanism of the low-level digital video features for the automatic retrievals of the explosion scenes from the digital video library. In the proposed abstraction mechanism, the regional dominant colors of the key frame and the motion energy of the shot are defined as the primary abstractions of the shot for the explosion scene retrievals. It is because an explosion shot usually consists of the frames with a yellow-tone pixel and the objects in the shot are moved rapidly. The regional dominant colors of shot are selected by dividing its key frame image into several regions and extracting their regional dominant colors, and the motion energy of the shot is defined as the edge image differences between key frame and its neighboring frame. The edge image of the key frame makes the retrieval of the explosion scene more precisely, because the flames usually veils all other objects in the shot so that the edge image of the key frame comes to be simple enough in the explosion shot. The proposed automatic retrieval algorithm declares an explosion scene if it has a shot with a yellow regional dominant color and its motion energy is several times higher than the average motion energy of the shots in that scene. The edge image of the key frame is also used to filter out the false detection. Upon the extensive exporimental results, we could argue that the recall and precision of the proposed abstraction and detecting algorithm are about 0.8, and also found that they are not sensitive to the thresholds. This abstraction mechanism could be used to summarize the long action videos, and extract a high level semantic information from digital video archive.

• Journal of the Korean association of regional geographers
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• v.16 no.2
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• pp.154-166
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• 2010

This research examines the effect on how the recognizing and emotional image influence on the visitors satisfaction and revisit intention. For this study, actual proofs analysis was conducted on the O-World visitors in Daejeon. The analysis results are as following. First, according to the analysis results about the influence on the whole image of recognizing image factor of event program, three factors have an effect on the whole image of the theme park: 'Atmosphere-service' factor, 'convenience facility - circumstance' factor, and 'event content' factor. Second, three of emotional image factors of event program have an impact on the whole image of the theme park: 'Interest' factor, 'experience' factor, and 'psychology' factor. In conclusion, the whole image of the theme park has an influence on the whole satisfaction and the whole satisfaction affects the revisit intention positively.

• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.147-155
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• 2019

In the glocal era, the competition becomes more intense in regional development centered around cities rather than countries. This suggests that increasing the city's unique charms through a positive city image can allow the city to gain a competitive edge in the competition for regional development. In this background, this study would contribute to improving the positive image of Pyeongtaek City, presenting the value and development direction of the image it would pursue, aiming to develop a promotional design for the improvement of the city image. As the details of the research, this study recognized the city image as an efficient means of public relations of the city from its concept and necessity. Thus, this study conducted a survey on the analysis of status and image of Pyeongtaek City. This study would contribute to improving the positive image of Pyeongtaek City, presenting the results of the development of a promotional design of its administration and a plan for utilization in the manual, proceeding by stages.