• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.406-409
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• 2012

컬러 영상의 흑백화 기술은 영상 처리를 이용하는 다양한 분야에서 널리 활용되고 있는 기술이다. 하지만 기존의 일반적으로 사용되는 흑백화 기술은 컬러 영상에서의 색차 정보를 잃어버리는 문제점을 가지고 있다. 이러한 색차 정보 손실의 단점을 개선하기 위해 여러 방법들이 제안되었지만 대부분의 경우 최적의 결과를 얻기 위해서는 특정한 파라미터가 필요하다. 본 논문에서는 이러한 문제점을 해결하기 위해 영상의 Saliency map을 이용한 자동 흑백화 기술을 제안한다. 제안한 방법은 영상의 중요 정보를 통해 획득된 대표색상 정보를 이용해 기존의 방법과는 달리 특별한 파라미터의 입력이 필요하지 않는 장점을 가지고 있다. 실험결과는 제안한 방법이 기존 방법에 비해 매우 효율적임을 보여준다.

• The korean journal of orthodontics
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• v.14 no.1
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• pp.39-45
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• 1984

10years and 8 months old patient, who had been wearing Milwaukee brace for 5 months, was treated by multibanded system without extract on. She complianed severe protrusion and interdental spacing of upper anterior teeth. Cephalometric analysis revealed short anterior facial height, infraclusion of the lower first molars and severe profrusion of upper and lower anterior teeth. During orthodontic treatment Milwaukee brace was replaced by TLSO, so the orthopedic force on the dentofacial region was eliminated. After 2 years and 3 months, she gained raised bite, increased interincisal angle, salient reduction in the protrusion of upper central incisals with agreeable overjet, complete obliteration of interdental spacing and reduction of protrusion of upper and lower lips.

• Journal of electromagnetic engineering and science
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• v.14 no.3
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• pp.273-277
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• 2014

In this research, integral transform technique for electromagnetic scattering formulation is reviewed. Electromagnetic boundary-value problems are presented to demonstrate how the integral transforms are utilized in electromagnetic propagation, antennas, and electromagnetic interference/compatibility. Various canonical structures of slotted conductors are used for illustration; moreover, Fourier transform, Hankel transform, Mellin transform, Kontorovich-Lebedev transform, and Weber transform are presented. Starting from each integral transform definition, the general procedures for solving Helmholtz's equation or Laplace's equation for the potentials in the unbounded region are reviewed. The boundary conditions of field continuity are incorporated into particular formulations. Salient features of each integral transform technique are discussed.

• SUVANNABHUMI
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• v.9 no.2
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• pp.7-34
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• 2017

Various models have been presented to describe early Southeast Asian political formations that draw on both indigenous and imported Indic ideas. The most influential of these are the "Mandala" (Wolters 1968, 1982, 1999), "Galactic" (Tambiah 1976), "Negara" (Geertz 1980), and Anderson's 1972 "The idea of power in Javanese culture." This paper represents an initial attempt to compare the salient features of these models with historical and archaeological data from South Sulawesi where, exceptionally and importantly, societies developed independently of Indic ideas. South Sulawesi is unique in being the only region of maritime Southeast Asia where there are sufficient written and oral sources, often substantiated by archaeological data, to document the social evolution of its society from scattered, economically self-sufficient communities with ranked lineages practicing swidden agriculture to large political units (kingdoms) constructed around indigenous cultural and political concepts with economies based on wet-rice agriculture. This wealth of data provides us with a much more detailed picture of the emergence, development and support structures of early kingdoms than found in the models, which makes South Sulawesi of fundamental importance in understanding the social and economic evolution of pre-Indic influenced Austronesian societies in Maritime Southeast Asia.

• International Journal of Contents
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• v.10 no.4
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• pp.1-10
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• 2014

In this paper, we propose a method to build an accurate initial trimap for the GrabCut algorithm without the need for human interaction. First, we identify a rough candidate for the label region of a bottle by applying a saliency map to find a salient area from the image. Then, the Hough Transformation method is used to detect the left and right borders of the label region, and the k-means algorithm is used to localize the upper and lower borders of the label of the bottle. These four borders are used to build an initial trimap for the GrabCut method. Finally, GrabCut segments accurate regions for the label. The experimental results for 130 wine bottle images demonstrated that the saliency map extracted a rough label region with an accuracy of 97.69% while also removing the complex background. The Hough transform and projection method accurately drew the outline of the label from the saliency area, and then the outline was used to build an initial trimap for GrabCut. Finally, the GrabCut algorithm successfully segmented the bottle label with an average accuracy of 92.31%. Therefore, we believe that our method is suitable for product label recognition systems that automatically segment product labels. Although our method achieved encouraging results, it has some limitations in that unreliable results are produced under conditions with varying illumination and reflections. Therefore, we are in the process of developing preprocessing algorithms to improve the proposed method to take into account variations in illumination and reflections.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.173-178
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• 2012

In this paper, a new saliency map generation method is discussed which extracts objects effectively using extracted Salient Region. Feature map is constructed first using four features of edge, hue of HSV color model, focus and entropy and then conspicuity map is generated from Center Surround Differences using the feature map. Final saliency map is constructed by the combination of conspicuity maps. Saliency map generated using this procedure is compared to the conventional technique and confirmed that new technique has better results.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.2
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• pp.676-692
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• 2018

Saliency detection in neurobiology is a vehement research during the last few years, several cognitive and interactive systems are designed to simulate saliency model (an attentional mechanism, which focuses on the worthiest part in the image). In this paper, a bottom up saliency detection model is proposed by taking into account the color and luminance frequency features of RGB, CIE $L^*a^*b^*$ color space of the image. We employ low-level features of image and apply band pass filter to estimate and highlight salient region. We compute the likelihood probability by applying Bayesian framework at pixels. Experiments on two publically available datasets (MSRA and SED2) show that our saliency model performs better as compared to the ten state of the art algorithms by achieving higher precision, better recall and F-Measure.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.30 no.6_2
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• pp.665-672
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• 2012

Amid rapidly increasing imagery inputs and their volume in a remote sensing imagery database, Content-Based Image Retrieval (CBIR) is an effective tool to search for an image feature or image content of interest a user wants to retrieve. It seeks to capture salient features from a 'query' image, and then to locate other instances of image region having similar features elsewhere in the image database. For a CBIR approach that uses texture as a primary feature primitive, designing a texture descriptor to better represent image contents is a key to improve CBIR results. For this purpose, an extended feature vector combining the Gabor filter and co-occurrence histogram method is suggested and evaluated for quantitywise and qualitywise retrieval performance criterion. For the better CBIR performance, assessing similarity between high dimensional feature vectors is also a challenging issue. Therefore a number of distance metrics (i.e. L1 and L2 norm) is tried to measure closeness between two feature vectors, and its impact on retrieval result is analyzed. In this paper, experimental results are presented with several CBIR samples. The current results show that 1) the overall retrieval quantity and quality is improved by combining two types of feature vectors, 2) some feature is better retrieved by a specific feature vector, and 3) retrieval result quality (i.e. ranking of retrieved image tiles) is sensitive to an adopted similarity metric when the extended feature vector is employed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.12
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• pp.5507-5528
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• 2016

In computer vision, salient object is important to extract the useful information of foreground. With active contour analysis acting as the core in this paper, we propose a bottom-up saliency detection algorithm combining with the Bayesian model and the global color distribution. Under the supports of active contour model, a more accurate foreground can be obtained as a foundation for the Bayesian model and the global color distribution. Furthermore, we establish a contour-based selection mechanism to optimize the global-color distribution, which is an effective revising approach for the Bayesian model as well. To obtain an excellent object contour, we firstly intensify the object region in the source gray-scale image by a seed-based method. The final saliency map can be detected after weighting the color distribution to the Bayesian saliency map, after both of the two components are available. The contribution of this paper is that, comparing the Harris-based convex hull algorithm, the active contour can extract a more accurate and non-convex foreground. Moreover, the global color distribution can solve the saliency-scattered drawback of Bayesian model, by the mutual complementation. According to the detected results, the final saliency maps generated with considering the global color distribution and active contour are much-improved.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.3
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• pp.375-388
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• 2008

The early studies on the cultural industries had mainly emphasized the viewpoint of "efficiency" based on the "flexible specialization" theory, but they have gradually shed light on the viewpoint of "creativity": creative human resources and various networks generating creative energies. Despite the importance of these studies, it is impossible to explain every cultural industrial agglomeration phenomena from specific and few viewpoints due to the diversity of each cultural industry. This study describes the dissimilarity of agglomeration factors between the Japanese animation and home video game industries which form salient agglomeration in the same region. Both industries share similar characteristics with industrial agglomeration of SMEs in Tokyo and close inter-firm relationships. However, they differ in their historical development paths and each firm's behavior and strategy because of their own distribution systems and production processes. In particular, the difference in distribution systems clearly affects whether a company values "efficiency" factors of agglomeration advantage or "creativity" factors of that in case of locational choice. The distribution sector of the cultural industry, compared with the production sector, has a tendency to value profitability rather than creation itself. Therefore, a cultural industry with the strong distribution sector tends to form the industrial system emphasizing profitability. The Japanese animation firm is apt to choose its location from the perspective of efficiency, which easily contributes to profitability, because television broadcasting stations are strong distribution sector. Conversely, the Japanese game firm chooses its location from the perspective of creativity due to the absence of strong distribution sector.