• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.211-213
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• 2001

히스토그램은 질의 최적화글 위해 사용되는 튿-계 정또 중 하나이다. 최근에는 방대한 데이타에 대한 범위 질의의 선택도 추정 방법의 하나로 사용되기도 한다. 히스토그램을 통한 범위 질의의 선택도 추정 결과는 항상 오차를 포함한다. 따라서 결과의 신뢰성을 보장하기 위해 선택도에 대한 오차를 추정하는 방법이 요구된다. 추정된 선택도의 오차 추정에 대한 기존 방법은 1차원 히스토그램만을 고려하여 하나의 애트리뷰트의 값에 따라 빈도의 분포를 반영하므로 애트리뷰트가 많은 다차원 히스토그램에 바로 적용시키는데 문제가 있다. 이 논문에서는 기존의 추정된 선택도에 대한 오차 추정 기법들을 다차원에 적용할 수 있게 확장한 M-Max, M-Sum 기법을 제안하고, 두 기법을 합친 하이브리드 기법을 제안한다. 실험을 통해 M-Sum 기법과 하이브리드 기법이 M-Max 기법보다 정확한 오차 추정 기법임을 보이고, 또한 작은 기억 공간에서도 두 기법이 오차를 보다 정확하게 추정함을 보인다.

• Journal of the Korea Society of Computer and Information
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• v.7 no.4
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• pp.46-51
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• 2002

In this paper, I proposed a eyebrow detection algorithm in human face, that is important element in facial recognition. The proposed algorithm consists of four processes: face region detection using color region segmentation. eye detection by template matching, eyebrow candidate region detection in detected eye region, and eyebrow detection by thresholding using the modified histogram that gets luminance value in the candidate region. The test results show that the proposed algorithm can detect eyebrow region very effectively in facial image.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.2
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• pp.431-436
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• 2014

Cell segmentation which extracts cell objects from background is one of basic works in bio-imaging which analyze cell images acquired from live cells in cell culture. In the case of clear images, they have a bi-modal histogram distribution and segmentation of them can easily be performed by global threshold algorithm such as Otsu algorithm. But In the case of degraded images, it is difficult to get exact segmentation results. In this paper, we developed a cell segmentation system that it classify input images by the type of their histogram distribution and then apply a proper segmentation algorithm. If it has a bi-modal distribution, a global threshold algorithm is applied for segmentation. Otherwise it has a uni-modal distribution, our algorithm is performed. By experimentation, our system gave exact segmentation results for uni-modal cell images as well as bi-modal cell images.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.15-22
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• 2019

In this paper, we proposed a Hangeul detection method using structural features of histogram, consonant, and vowel to solve the problem of Hangul which is separated and detected consonant and vowel The proposed method removes background by using DoG (Difference of Gaussian) to remove unnecessary noise in Hangul detection process. In the image with the background removed, we converted it to a binarized image using a cumulative histogram. Then, the horizontal position histogram was used to find the position of the character string, and character combination was performed using the vertical histogram in the found character image. However, words with a consonant vowel such as '가', '라' and '귀' are combined using a structural characteristic of characters because they are difficult to combine into one character. In this experiment, an image composed of alphabets with various backgrounds, an image composed of Korean characters, and an image mixed with alphabets and Hangul were tested. The detection rate of the proposed method is about 2% lower than that of the K-means and MSER character detection method, but it is about 5% higher than that of the character detection method including Hangul.

• Journal of the Korea Computer Industry Society
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• v.3 no.7
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• pp.901-914
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• 2002

In this paper, We propose an efficient automatic caption detection and location method, caption recognition using FE-MCBP(Feature Extraction based Multichained BackPropagation) neural network for content based retrieval of video. Frames are selected at fixed time interval from video and key frames are selected by gray scale histogram method. for each key frames, segmentation is performed and caption lines are detected using line scan method. lastly each characters are separated. This research improves speed and efficiency by color segmentation using local maximum analysis method before line scanning. Caption detection is a first stage of multimedia database organization and detected captions are used as input of text recognition system. Recognized captions can be searched by content based retrieval method.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.81-83
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• 2013

절도란 경제적 이익을 꾀하려는 목적으로 타인 소유의 재물을 그의 허락 없이 가져가 본인이나 제삼자의 것으로 만드는 것을 말한다. 현재 엘리베이터 내에서 자주 발생하는 범죄 중의 하나가 바로 절도이다. 본 논문에서는 절도 범죄를 장면 전환 검출 방법인 컬러 히스토그램을 이용하여 추출한다. 추출된 키 프레임들은 범죄의 주요 장면들이다. 여기서 추출된 영상은 법원에 절도죄의 중요한 증거자료로 제출된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.597-598
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• 2023

X-ray는 촬영 방식의 한계로 진단하기 어려운, 품질 낮은 영상을 다수 발생시킨다. 이러한 저품질 영상은 임상 현장에서의 진단이 어려울 뿐만 아니라, 진단 보조 도구를 개발함에 모델의 성능과 신뢰도를 떨어뜨리는 주요 요소가 된다. 특히 투과도가 낮은 영상은 학습 성능에 악영향을 미친다는 것이 입증된 바 있다. 따라서 본 연구는 투과도가 낮은 영상을 진단에 부적합한 영상으로 정의하여, 이를 분류하는 기법을 제안한다. 제안하는 기법은 민감도 94.9%. 특이도 96.0%의 높은 성능을 보였다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.6
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• pp.195-202
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• 2005

An adaptive segmentation algorithm is used to efficiently target decisions in local non-stationary images. Until now, several adaptive approaches have been proposed as a method of segmentation. However, they can't be directly used for radar target detection because a radar signal has different characteristics from general images. Generally, a histogram of radar signal shows that targets have a relatively small number of frequency functions compared to the background and distribution of background, which have several shapes as the environment changes. In this paper, we propose an adaptive segmentation algorithm using a histogram chord which is a right-down line from maximum pick of frequency function. The proposed method provides thresholds which are optimum for several radar environments because the used chord for threshold search is not significantly effected by interference conditions. Simulation results show that the proposed method is superior to the traditional algorithms, global threshold method and distribution median method, with respect to detection performance.

• The Southeast Asian review
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• v.27 no.2
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• pp.1-36
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• 2017

This paper deals with the rise of Islamic scheme of security in Indonesia's longstanding traditions of vigilantism since the fall of Suharto's New Order regime. For that purpose, in comparison with other modes of the securitization process on morality issues that functioned by the end of New Order, I discuss the background that enables Islamic security to launch off, and the process of institutionalization and the practices of Islamic security agenda. I then argue how that scheme relates to power and moral legitimacy, and how it shapes the way of perceiving self and society. Through this ethnographic analysis of the rhetorical and institutional changes to the scheme of security in Indonesia, this paper demonstrates how the social stress in the reform era, which is mediated by the ideas of globalization and Islam, is put into the securitization process, and how Indonesian society imagines its future through the Islamic vehicle of security.

• Tuberculosis and Respiratory Diseases
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• v.64 no.2
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• pp.133-137
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• 2008

Pulmonary paragonimiasis continues to be a diagnostically challenging parasitic disease, despite a drastically decreased prevalence in South Korea during the past decade. Pulmonary paragonimiasis is characterized by fever, chest pain, and chronic cough with hemoptysis. Numerous radiographic and computed tomographic findings including the presence of pneumothorax, pleural effusion, and parenchymal lesions such as nodular or infiltrative opacities have been reported. The clinical and radiological manifestations of paragonimiasis can resemble those of lung cancer, tuberculosis or a metastatic malignancy. Furthermore, this disease can mimic lung cancer as seen on $^{18}F$-fluorodeoxyglucose positron emission tomography (FDG-PET). We report a case of pulmonary paragonimiasis in a 48-year old man that presented with a solitary pulmonary nodule and was suspected as a lung cancer based on FDG-PET imaging.