• 한국통신학회논문지
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• 제31권9C호
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• pp.831-839
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• 2006

본 논문에서는 수신기에서 I/Q 위상 및 진폭 불균형을 갖는 계층적 MPSK(Hierarchical M-ary Phase Shift Keying) 신호에 대해 수치 적분이 필요 없는 정확하고 일반화된 closed-form 형태의 비트 오류 확률(Bit Error Probability) 표현을 유도한다. 새롭게 유도된 비트 오류 확률 표현은 간결한 형태의 일반화된 식으로 되어 있어 다양한 환경으로의 적용이 용이하다. 뿐만 아니라, 계층적 MPSK를 적용하는 많은 디지털 통신 시스템에서 복조시 발생할 수 있는 I/Q 불균형들에 의한 시스템 성능 변화에 대하여 정확한 이론적 성능 기준을 제공할 것으로 기대된다.

• 대한전기학회논문지:시스템및제어부문D
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• 제51권8호
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• pp.360-367
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• 2002

In this paper, genetic algorithm based adaptive image enhancement filtering scheme is proposed and Implemented on FPGA board. Conventional filtering methods require a priori noise information for image enhancement. In general, if a priori information of noise is not available, heuristic intuition or time consuming recursive calculations are required for image enhancement. Contrary to the conventional filtering methods, the proposed filter system can find optimal combination of filters as well as their sequent order and parameter values adaptively to unknown noise types using structured genetic algorithms. The proposed image enhancement filter system is mainly composed of two blocks. The first block consists of genetic algorithm part and fitness evaluation part. And the second block consists of four types of filters. The first block (genetic algorithms and fitness evaluation blocks) is implemented on host computer using C code, and the second block is implemented on re-configurabe FPGA board. For gray scale control, smoothing and deblurring, four types of filters(median filter, histogram equalization filter, local enhancement filter, and 2D FIR filter) are implemented on FPGA. For evaluation, three types of noises are used and experimental results show that the Proposed scheme can generate optimal set of filters adaptively without a pioi noise information.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1997년도 추계학술대회
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• pp.154-160
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• 1997

By their rapid and periodic actions, the cilia of the human respiratory tract play an important role in clearing inhaled noxious particles. Based on the automated image-processing technique, we studied ciliary beat frequency (CBF) objectively and quantitatively. Microscopic ciliary images were transformed into digitized gray ones through an image-grabber, and from these we extracted signals or CBF. By means of a FFT, maximum peak frequencies were detected as CBFs in each partitioned block or the entire digitized field. With these CBFs, we composed distribution maps visualiy showing the spatial distribution of CBFs. Through distribution maps of CBF, the whole aspects of CBF changes or cells and the difference of CBF of neighboring cells can be easily measured and detected. Histogram statistics calculated from the user-defined polygonal window can show the local dominant frequency presumed to be the CBF of a cell or a crust the region includes.

• ETRI Journal
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• 제38권1호
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• pp.174-184
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• 2016

Information identification with image data by means of low-level visual features has evolved as a challenging research domain. Conventional text-based mapping of image data has been gradually replaced by content-based techniques of image identification. Feature extraction from image content plays a crucial role in facilitating content-based detection processes. In this paper, the authors have proposed four different techniques for multiview feature extraction from images. The efficiency of extracted feature vectors for content-based image classification and retrieval is evaluated by means of fusion-based and data standardization-based techniques. It is observed that the latter surpasses the former. The proposed methods outclass state-of-the-art techniques for content-based image identification and show an average increase in precision of 17.71% and 22.78% for classification and retrieval, respectively. Three public datasets - Wang; Oliva and Torralba (OT-Scene); and Corel - are used for verification purposes. The research findings are statistically validated by conducting a paired t-test.

• 한국전자파학회논문지
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• 제15권1호
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• pp.51-59
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• 2004

본 논문에서는 LDPC에 근거한 semi-BICM 기법에 의해 다중 레벨 부호화(MLC)를 설계한다. 기존의 설계와는 다르게 그레이 매핑에 의해 MLC와 BICM을 결합함으로써 서로 다른 부호율(code rate)의 다수의 등가 채널상에서의 멀티미디어 데이터 전송이 가능하다. AWCN 채널용량에 매우 가까운 SNR에서 양호한 성능을 얻기 위해 랜덤 레귤러 LDPC 부호와 단순한 SA-LDPC 부호를 병렬 독립 복호가 가능한 MLC 부호로서 고찰하였다. 또한, 제안방식은 멀티미디어 통신시스템을 위한 전력 및 대역폭 효율을 얻을 수 있음을 수치해석 결과를 이용하여 나타내었다.

• 한국멀티미디어학회논문지
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• 제11권12호
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• pp.1635-1648
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• 2008

The extraction of important features in cancer cell image analysis is a key process in grading renal cell carcinoma. In this study, we applied three-dimensional (3D) texture feature extraction methods to cell nuclei images and evaluated the validity of them for computerized cell nuclei grading. Individual images of 2,423 cell nuclei were extracted from 80 renal cell carcinomas (RCCs) using confocal laser scanning microscopy (CLSM). First, we applied the 3D texture mapping method to render the volume of entire tissue sections. Then, we determined the chromatin texture quantitatively by calculating 3D gray-level co-occurrence matrices (3D GLCM) and 3D run length matrices (3D GLRLM). Finally, to demonstrate the suitability of 3D texture features for grading, we performed a discriminant analysis. In addition, we conducted a principal component analysis to obtain optimized texture features. Automatic grading of cell nuclei using 3D texture features had an accuracy of 78.30%. Combining 3D textural and 3D morphological features improved the accuracy to 82.19%. As a comparative study, we also performed a stepwise feature selection. Using the 4 optimized features, we could obtain more improved accuracy of 84.32%. Three dimensional texture features have potential for use as fundamental elements in developing a new nuclear grading system with accurate diagnosis and predicting prognosis.

• Korean Journal of Radiology
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• 제23권7호
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• pp.742-751
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• 2022

Objective: To assess focal mineral deposition in the globus pallidus (GP) by CT and quantitative susceptibility mapping (QSM) of MRI scans and evaluate its clinical significance, particularly cerebrovascular degeneration. Materials and Methods: This study included 105 patients (66.1 ± 13.7 years; 40 male and 65 female) who underwent both CT and MRI with available QSM data between January 2017 and December 2019. The presence of focal mineral deposition in the GP on QSM (GP_QSM) and CT (GP_CT) was assessed visually using a three-point scale. Cerebrovascular risk factors and small vessel disease (SVD) imaging markers were also assessed. The clinical and radiological findings were compared between the different grades of GP_QSM and GP_CT. The relationship between GP grades and cerebrovascular risk factors and SVD imaging markers was assessed using univariable and multivariable linear regression analyses. Results: GP_CT and GP_QSM were significantly associated (p < 0.001) but were not identical. Higher GP_CT and GP_QSM grades showed smaller gray matter (p = 0.030 and p = 0.025, respectively) and white matter (p = 0.013 and p = 0.019, respectively) volumes, as well as larger GP volumes (p < 0.001 for both). Among SVD markers, white matter hyperintensity was significantly associated with GP_CT (p = 0.006) and brain atrophy was significantly associated with GP_QSM (p = 0.032) in at univariable analysis. In multivariable analysis, the normalized volume of the GP was independently positively associated with GP_CT (p < 0.001) and GP_QSM (p = 0.002), while the normalized volume of the GM was independently negatively associated with GP_CT (p = 0.040) and GP_QSM (p = 0.035). Conclusion: Focal mineral deposition in the GP on CT and QSM might be a potential imaging marker of cerebral vascular degeneration. Both were associated with increased GP volume.

• 대한의용생체공학회:의공학회지
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• 제24권2호
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• pp.61-68
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• 2003

본 논문에서는 의학적 진단 및 처치 방법의 결정에 중요한 역할을 하는 뇌경색 환자의 각 시기별 특징을 정량화하기 위해 3 가지 MRI 촬영기법을 이용하여 획득한 영상의 특징과 그들의 상관관계들을 객체중심 계층적계획기법을 이용하여 분석하였다. 3 가지 영상의 비교를 위하여 다항워핑 알고리즘과 어파인 변환기법을 수행하여 영상을 정합하였으며, 정합된 영상을 기반으로 뇌경색 시기별 정량화를 수행하였다. 그리고 각 시기별로 색을 설정하여 수 작업으로 얻어진 데이터를 바탕으로 의사 컬러로 나타내었다. 본 연구에서 구한 뇌경색 시기별 정량화 자료를 바탕으로 구분된 결과와 전문의가 판단한 결과를 비교하였다.

• 한국통신학회논문지
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• 제31권3C
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• pp.237-244
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• 2006

본 논문에서는 2차원 결합 가우시안 Q-함수(Two-dimensional joint Gaussian Q-function)를 이용하여 AWGN(Additive White Gaussian Noise) 환경에서 M-PSK(M-ary Phase Shift Keying) 신호의 I/Q 위상 불균형(Phase unbalance) 존재 시 수치 적분이 필요 없는 정확하고 일반화된 closed-form 형태의 비트 오류율(Bit Error Rate) 표현을 유도한다. 새롭게 유도된 표현은 평균 BER 뿐만 아니라 k-번째 비트의 BER에 대하여도 일반화된 식으로 되어 있어 다양한 환경으로의 적용이 용이하여 M-PSK를 적용하는 많은 디지털 통신 시스템에서 복조 시 발생할 수 있는 I/Q 위상 불균형에 의한 시스템 성능 변화에 대하여 정확한 이론적 성능 기준을 제공할 것으로 기대된다.

• 대한의용생체공학회:의공학회지
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• 제23권1호
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• pp.39-47
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• 2002

본 연구의 목적은 선형 변환을 이용한 레지스트레이션의 정확도를 높이는데 있다. 서로 다른 개인간의 뇌영상을 비교분석하기 위해서는 공통된 좌표계로 각 영상을 변환하는 작업이 필요하다 정확한 변환을 위해서는 전체적인 뇌영상의 매치와 국소적 영역의 매치가 모두 중요하다 일반적으로 상호정보를 이용한 레지스트레이션은 전체적인 뇌영상을 매치시키는데 유리하다. 그러나 관심영역에 대한 매치는 특징기반 레지스트레이션 방법이 더 유리하다. 본 논문에서 제시하는 통합 레지스트레이션은 특징정보와 더불어 복셀기반의 상호정보를 함께 사용하였다. 이러한 접근 방법은 정신분열증을 판단하는 기준으로 많이 사용되는 뇌량을 포함하는 뇌의 중심부분의 매칭에 유리함을 실험을 통해 확인하였다 상호정보만을 사용하는 복셀기반 레지스트레이션이나 탈라이락 좌표계를 이용한 정규화에 비해 본 연구의 통합 레지스트레이션은 전체적 뇌영상 뿐만 아니라 관심 영역에서의 레지스트레이션 오차가 더 작았다.