• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.1
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• pp.53-61
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• 2010

In this paper, we present a color interpolation algorithm that uses novel edge direction estimator and region classifier. The proposed edge direction estimator accurately determines the edge direction based on the correlation between the images obtained by the channel separated and down-sampled Bayer color filter array(CFA) pattern. The correlation is defined based on the similarity between the edge direction in the local region of the image and the shifting direction of the images. Also, the region of an image is defined as the flat, the edge, and the pattern-edge regions, where the edges are appeared repeatedly. When all the pixels in the image are classified into the three different regions, each pixel is interpolated horizontally or vertically according to the estimated direction. Experimental results show that the proposed algorithm outperforms the conventional edge-directed methods on objective and subjective criteria.

• Land and Housing Review
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• v.7 no.4
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• pp.251-259
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• 2016

As the spatial structure of a region is evolving into a decentralized multi-nucli model, networked connection among cities in a region is emerging as an important issue to strengthen regional competitiveness. This paper focused on the limitation of current new town planning criteria which just suggest a uniform standard for economic self-sufficiency by new-town size, without representing the network characteristics of new town. If a new town is planned as a economic strongpoint within a region, it needs to secure appropriate industrial functions. This study classified the characteristics of new towns by network analysis and reviewed the economic self-sufficiency criteria by new town types. Using various network connectedness indices, the 1st and 2nd round new towns in the capital region were analyzed, and land-use distribution of new-towns in other countries were also examined comparatively. The network characteristics of new towns are classified as three types: mono-nucleus, distributed center, and dependent. Based on this classification, planning criteria for self-sufficiency were compared among 6 new towns. This study provides implications for the amendment of "the sustainable new town planning criteria" or the revision of development plans.

• Journal of KIISE:Software and Applications
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• v.34 no.10
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• pp.929-936
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• 2007

The novel vision-based scheme for real-time extracting traffic parameters is proposed in this paper. Detecting and tracking of vehicle is processed at local region installed by operator. Local region is divided to segmented regions by edge and frame difference, and the segmented regions are classified into vehicle, road, shadow and headlight by statistical and geometrical features. Vehicle is detected by the result of the classification. Traffic parameters such as velocity, length, occupancy and distance are estimated by tracking using template matching at local region. Because background image are not used, it is possible to utilize under various conditions such as weather, time slots and locations. It is performed well with 90.16% detection rate in various databases. If direction, angle and iris are fitted to operating conditions, we are looking forward to using as the core of traffic monitoring systems.

• Journal of the Korean association of regional geographers
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• v.22 no.1
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• pp.25-35
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• 2016

This paper is to classify subregions of Yeongnam region, to realize their core area, and to provide the basis on studying inherent cultural characteristics in Yeongnam region. To do so, I made a overlay human factors of administrative district and dialect with physical factors of drainage basin and climate area. The limit of subregion is the range of possessing environmental factors similar to provincial center. The parcels possessing a equivalent combination of environmental factors are 27, the size of parcel is various from one-city/county to six-city/county. These parcels are classified to six subregions(Andong, Sangju, Kyeongju, Daegu, Kimhae, Jinju). The boundary of subregion is high mountains and large river which are obstacle to communication between subregions, and in case of little obstacle exists transitional zone.

• Journal of architectural history
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• v.18 no.5
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• pp.7-24
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• 2009

This stydy investigates H-shaped houses in 1930s and examines the characters and meanigs of Kim, Jong-Ryang's H-shaped houses as a new trial to urban Hanok of those days. He, who was concerned about the housing problem of Seoul, made an attempt to make various types of dwellings. Among them, this study focuses on Japanese-Korean Style H-shaped houses in Samcheong-dong. As the alternative housing type against other urban Hanok of Seoul in 1930s, the H-shaped houses of Kim, Jong Ryang had characters as follows : 1) H-shaped houses has two special characters. First, the whole space of a single house can be divided into a left region and a right region. Second, it can be divided to a front region and a rear region. In his H-shaped houses, the left/right division was expressed as folding of space-layers in parallel with urban streets. The front/rear division was used as classification of main-living space and sub-living space. 2) KJR's H-shaped Japanese-Korean Style houses were proved to be designed as urban housing against the extreme housing shortage of Seoul in 1930s. 3) His houses however were not accepted broadly as a urban house type because the construction cost of those was higher than an average and the element of Japanese style house was not adapted to Korea. Kim, Jong-Ryang's trial is valuable because it was the rare case of realization of many discourses as defects of existing house type. With more rigorous investigations on KJR's experiment in modern house type, we could understand the housing condition of Seoul in 1930s and modern urban houses more than before.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.5
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• pp.1174-1180
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• 2013

In recent years, there are many awareness and demand for digital convergence of the future. In information technology, especially, convergence with other studies such as regional studies, literature and humanities should be needed because information technology is closely related to real life. Culture atlas represents various aspects related to culture visually using points, arcs, and more in the map. Thus, it should be an available tool to survey cultures efficiently in digital environments. For oversea region study, especially Mediterranean region research, we suggest the way to apply electronic culture atlas in this paper. In detail, design and implementation a study on Electronic Culture Atlas for overseas area. Research results for oversea regional studies can be expressed visually by utilizing digital culture map implemented in this paper. Therefore, digital culture atlas should be used as convergence media between information technology and other studies such as regional studies, humanities and so on, tools for oversea regional studies, and exhibition of research results.

• Journal of Korea Multimedia Society
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• v.5 no.4
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• pp.415-425
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• 2002

In this paper, we present a content-based image retrieval method which is based on the feature extraction in the wavelet transform domain. In order to overcome the drawbacks of the feature vector making up methods which use the global wavelet coefficients in subbands, we utilize the energy value of wavelet coefficients, and the shape-based retrieval of objects is processed by moment which is invariant in translation, scaling, rotation of the objects The proposed methods reduce feature vector size, and make progress performance of classification retrieval which provides fast retrievals times. To offer the abilities of region-based image retrieval, we discussed the image segmentation method which can reduce the effect of an irregular light sources. The image segmentation method uses a region-merging, and candidate regions which are merged were selected by the energy values of high frequency bands in discrete wavelet transform. The region-based image retrieval is executed by using the segmented region information, and the images are retrieved by a color, texture, shape feature vector.

• Journal of Korea Multimedia Society
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• v.12 no.8
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• pp.1073-1081
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• 2009

In this paper, we proposed new method to enhance choroidal vessels by suppressing retina vessels brightness. It is well-known that CNV(choroidal neovascularization) is related with sight loss. The main feature of CNV is the occurrence of new vessels in choroid. Unfortunately, because retina vessels brightness is stronger than choroidal vessels brightness in ICGA(indocynanine green angiography) image, so that the choroidal vessels were hardly recognized. Therefore, for correct diagnosis, the choroidal vessels must be enhanced in ICGA image. The proposed enhancement method consists of 3 strategies. First, the retina vessels were detected by multi scale enhancement technique, hysteresis thresholding, KNN(Kth-nearest neighbor) classification method. And then, a retina vessel mask was generated from detection result. Next, the brightness of retina vessels was suppressed by the proposed conditional region erosion method and mask region until the mask region was vanished. Finally, the brightness of choroidal vessel was enhanced on processed image. Through an experiment, we had confirmed that the proposed method was robust and efficient.

• Journal of Korean Society of Forest Science
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• v.22 no.1
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• pp.63-65
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• 1974

In this study, it is aimed to elucidate the relationship between the distribution of barren land in mountainous area and the geological and topographical characteristics of barren land in south Korea. To do this, the Land Use Classification Maps for mountainous areas (scale:1/50,000), compiled by the Roseources Survey Office of Mountainous and Forest Areas, Geological Maps of Korea (scale: 1/50,000), and Map of Geology of Korea (scale: 1,000,000), compiled by the construction Research Institute of Korea were used. The following conclusions have been obtained from this study. 1) Areas of strata that are most liable to dilapidation are found in such order of the broadest to broad as region of granite, granite-gneiss, and the specific stratum called the Kyongsang Stratum (named after the provinces) of the northern and southern Kyongsang Provinces comprising sandstones, gravelstones, crumblestones, and other stones similar to these species. These rocky hills occupy vast areas in size, so to speak, they are estimated to cover roughly 57% of the total barren and naked areas in the country. 2) The average size in area of barren and nated land, as one piece of land, 32 hectares of granite region, 15 hectares of granite-gneiss region and little less than 13 hectares of Kyongsang strata region were calculated.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.11
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• pp.1357-1363
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• 2019

In this paper, we compares the performance of the gredient descent optimizers of the Faster Region-based Convolutional Neural Network (R-CNN) model for the chromosome object detection in digital images composed of human metaphase chromosomes. In faster R-CNN, the gradient descent optimizer is used to minimize the objective function of the region proposal network (RPN) module and the classification score and bounding box regression blocks. The gradient descent optimizer. Through performance comparisons among these four gradient descent optimizers in our experiments, we found that the Adamax optimizer could achieve the mean average precision (mAP) of about 52% when considering faster R-CNN with a base network, VGG16. In case of faster R-CNN with a base network, ResNet50, the Adadelta optimizer could achieve the mAP of about 58%.