• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.1637-1640
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• 2004

관상동맥 폐색증 환자들에 대해서 시술되는 stent 삽입 시술이나 관상동맥 우회로 시술 중에는 X-ray 등의 조영 영상이 시술의 기준이 되고 있다. 따라서 조영 영상에서 혈관을 빠르게 인식하는 것은 정확하고 효과적인 시술의 필수 조건이다. 이러한 시술 중 빠르고 정확한 혈관 인식을 위하여 본 논문에서는 심혈관 조영 영상으로부터 관상동맥의 형태를 자동적으로 영상분할하기 위한 방법을 제안한다. 우선 조영 영상에서 혈관을 분명하게 인식하기 위해서는 잡음을 제거하기 위한 필터링이 필요한 데, Anisotropic diffusion을 이용한 필터링은 이미지 내 물체의 경계선을 보존하고, 영역 내의 잡음을 제거하는 데 효과적이다. 정확한 영상분할을 수행하기 위해서는 대부분의 경우 사용자가 영상 내에 관심 영역을 지정하는 인터렉션이 필요하지만 이는 사용자에게 불편함을 줄 수 있다. 따라서 이러한 번거로움을 최소화하고, 정확한 결과를 유도하기 위해서 자동 씨드 영역 추출 알고리즘을 제안한다. 따라서 조영 영상에 필터링을 적용한 후 추출된 씨드 영역과 추출된 에지와 Adaptive region-growing을 복합적으로 사용하는 영상분할을 수행하게 되면 보다 효과적인 관상동맥 영상 분할의 결과를 얻을 수 있었다.

• The Journal of the Acoustical Society of Korea
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• v.16 no.5
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• pp.50-59
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• 1997

In this paper, we implement an automatic speech segmentation and labeling system which marks phone boundaries automatically for constructing the Korean speech database. We specify and implement the system based on conventional speech segmentation and labeling techniques, and also develop the graphic user interface(GUI) on Hangul $Motif^{TM}$ environment for the users to examine the automatic alignment boundaries and to refine them easily. The developed system is applied to 16kHz sampled speech, and the labeling unit is composed of 46 phoneme-like units(PLUs) and silence. The system uses both of the phonetic and orthographic transcription as input methods of linguistic information. For pattern-matching method, hidden Markov models(HMM) is employed. Each phoneme model is trained using the manually segmented 445 phonetically balanced word (PBW) database. In order to evaluate the performance of the system, we test it using another database consisting of sentence-type speech. According to our experiment, 74.7% of phoneme boundaries are within 20ms of the true boundary and 92.8% are within 40ms.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.28 no.7
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• pp.580-583
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• 2017

To compensate the degraded SAR image due to the residual errors and the spatial variant errors remaining after the motion compensation in the airborne SAR, we have introduced the autofocus method based on the partition processing. Thus, after we perform the spatial partition for the spotlight SAR data and the time partition for the stripmap SAR data, we reconstruct the subpatch images for the partitioned data. Then, we perform the local autofocus with the suitability analysis process for the phase errors estimated by the autofocus. Moreover, if the estimated phase errors are not properly compensated for the subpatch images, we perform the phase compensation method with the weight to the estimated phase error close to the degraded subpatch image to increase the SAR image quality.

• Journal of Digital Contents Society
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• v.14 no.3
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• pp.303-311
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• 2013

On original exhibits, which is passive and repeat itself endlessly irrelevant of the present of spectators, reduce its immersion. Therefore in this paper, we propose the scheme to recreate original exhibits be adding automatic screen saver by using division of different images to make experimental of an area of different images, to judge movement, maintain conditions or to propose the transition of mechanism. By implementing and analyzing this automatic screen saver, which was made through the scheme of proposition, we show the positive aspect of the use of centralized automatic screen saver.

• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.283-289
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• 2006

The present image segmentation is what user want to segment image and has been studied for technology in composition of segment object with other images. In this paper, we propose a method of novel semi-automatic image segmentation using gradual region merging and genetic algorithm. Proposed algorithm is edge detection of object using genetic algorithm after selecting object which user want. We segment region of object which user want to based on detection edge using watershed algorithm. We separated background and object in indefinite region using gradual region merge from Segment object. And, we have applicable value which user want by making interface based on GUI for efficient perform of algorithm development. In the experiments, we analyzed various images for proving superiority of the proposed method.

• The Journal of the Acoustical Society of Korea
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• v.25 no.5
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• pp.213-221
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• 2006

Phone segmentation of speech waveform is especially important for concatenative text to speech synthesis which uses segmented corpora for the construction of synthetic units. because the quality of synthesized speech depends critically on the accuracy of the segmentation. In the beginning. the phone segmentation was manually performed. but it brings the huge effort and the large time delay. HMM-based approaches adopted from automatic speech recognition are most widely used for automatic segmentation in speech synthesis, providing a consistent and accurate phone labeling scheme. Even the HMM-based approach has been successful, it may locate a phone boundary at a different position than expected. In this paper. we categorized adjacent phoneme pairs and analyzed the mismatches between hand-labeled transcriptions and HMM-based labels. Then we described the dominant error patterns that must be improved for the speech synthesis. For the experiment. hand labeled standard Korean speech DB from ETRI was used as a reference DB. Time difference larger than 20ms between hand-labeled phoneme boundary and auto-aligned boundary is treated as an automatic segmentation error. Our experimental results from female speaker revealed that plosive-vowel, affricate-vowel and vowel-liquid pairs showed high accuracies, 99%, 99.5% and 99% respectively. But stop-nasal, stop-liquid and nasal-liquid pairs showed very low accuracies, 45%, 50% and 55%. And these from male speaker revealed similar tendency.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.1976-1979
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• 2003

본 논문에서는 연속영상에서 잡음과 객체가 잘 분할되지 않는 환경 내에 있는 객체를 자동으로 분할하는 차영상 기반 알고리즘을 제안하였다. 기존의 차영상 기반의 단일 임계간을 이용한 방식에는 잡음에 크게 영향을 받고 배경과 객체가 비슷한 밝기 값을 가지는 경우 잘 추출되지 않는 많은 문제점이 있다. 본 논문에서는 이러한 문제점을 해결하고자 임계값을 설정하는 영역을 축소하여 잡음간섭의 최소화를 구성하였고 축소된 영역 내의 윤곽선정보를 이용하여 배경 밝기 값의 유사함에서 나오는 간섭을 최소화함으로써 정밀한 객체를 추출할 수 있었다.

• Journal of KIISE
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• v.42 no.10
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• pp.1239-1246
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• 2015

Cell counting is extensively used to analyze cell growth in biomedical research, and as a result automated cell counting methods have been developed to provide a more convenient and means to analyze cell growth. However, there are still many challenges to improving the accuracy of the cell counting for cells that proliferate abnormally, divide rapidly, and cluster easily, such as cancer cells. In this paper, we present an automated cell counting method for HeLa cells, which are used as reference for cancer research. We recognize and classify the morphological conditions of the cells by using a cell segmentation algorithm based on cell membrane extraction, and we then apply a cell back-tracking algorithm to improve the cell counting accuracy in cell clusters that have indistinct cell boundary lines. The experimental results indicate that our proposed segmentation method can identify each of the cells more accurately when compared to existing methods and, consequently, can improve the cell counting accuracy.

• Journal of KIISE:Computer Systems and Theory
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• v.31 no.5_6
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• pp.305-320
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• 2004

Moving object segmentation is a fundamental function for content-based application. Moving object edges are produced by matching the detected moving edges with the current frame edges. But we can often experience the object edge disconnectedness due to coincidence of similarity between the object and background colors or the decrease of movement of moving object. The edge disconnectedness is a serious problem because it degrades the object visual quality so conspicuously That it sometimes makes it inadequate to perform content-based coding. We have solved this problem by developing a robust and comprehensive edge linking algorithm. And we also developed an automatic moving object segmentation algorithm. These algorithms can produce the completely linked moving object edge boundary and the accurate moving object segmentation. These algorithms can process CIF 30 frames/sec in a PC. These algorithms can be used for the MPEG-4 content-based coding.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.520-522
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• 2011

위성으로부터 전송받은 Telemetry 플레이백 데이터 파일들을 적절한 크기로 또는 저장된 시간에 따라 병합하거나 분할할 수 있는 플레이백 파일 병합/분할 프로그램을 구현하였다. 기존에 플레이백 데이터가 정상적으로 수신되었는지를 점검하기 위한 플레이백 데이터 자동 분석 프로그램이 있는데, 기존의 프로그램을 윈도우 기반으로 보다 편리하게 사용할 수 있도록 전체적으로 보완하였고, 여기에 플레이백 파일 병합/분할 기능을 추가하여 전체적으로 하나로 통합하였다. 본 논문은 차세대 저궤도 위성에서 수행되는 데이터 저장 및 전송에 대한 내용과 새롭게 개선된 플레이백 데이터 자동분석 프로그램 및 플레이백 파일 병합/분할 프로그램에 대해 기술한 것이다.