• 한국정보처리학회논문지
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• 제7권3호
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• pp.977-991
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• 2000

In this paper, a medical image processing system was designed and implemented for morphometric and functional analysis of a human brain. The system is composed of image registration, ROI(region of interest) analysis, functional analysis, image visualization, 3D medical image database management system(DBMS), and database. The software processes an anatomical and functional image as input data, and provides visual and quantitative results. Input data and intermediate or final output data are stored to the database as several data types by the DBMS for other further image processing. In the experiment, the ROI analysis, for a normal, a tumor, a Parkinson's decease, and a depression case, showed that the system is useful for morphometric and functional analysis of a human brain.

• 대한기계학회논문집B
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• 제27권11호
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• pp.1572-1578
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• 2003

Particle Image Thermometry(PIT) with liquid crystal tracers is used for visualizing and analysis of the bubbly flow in a vertical temperature gradient. Quantitative data of the temperature were obtained by applying the color-image processing to a visualized image, and neural-network was applied to the color-to-temperature calibration. This paper describes the method, and presents the transient mixing temperature patterns of the bubbly flow.

• 디자인학연구
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• 제16권3호
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• pp.59-70
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• 2003

소비자가 제품을 대할때의 감정은 제각기 다르게 평가되어 나타난다. 즉, '무엇인가 재미있는 기능이 있을 것 같다', '직접 만져보고 촉감을 느끼고 싶다' 등 구매를 결정하는 다양한 동기가 존재한다. 이와같은 동기를 유발시키는 제품 이미지는 어떻게 '은유(metaphor)'되고 평가되어 인간의 'Mental Image'에 존재하는가? 본 연구에서는 이러한 측면에 문제의식을 제기하여 제품에 대한 '연상 이미지', '제품요소의 특징적 위치' 및 '제품평가' 등을 주요 골자로 하여 고찰을 실시하였다. 명쾌한 결론 도출을 위해 먼저 3개의 가설(hypothesis)을 설정하고, 이를 검증(verification)하기 위하여 종결적 조사(conclusive research)의 일환으로 사례연구를 실시하였다. 수집된 데이터는 단순집계(simple tabulation)에 의하여 전체적인 흐름을 파악하였고, 이를 토대로 3개의 조사항목에 대한 구체적인 분석을 실시하였다. 분석방법은 소비자의 심리적인 측면을 고려하여 정량적 분석(quantitative analysis)에 중점을 두었다. 그 결과 'Mental Image의 평가를 위한 추론'에 관해 중요한 3가지 결론을 얻었다.

• Journal of Microbiology and Biotechnology
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• 제33권3호
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• pp.348-355
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• 2023

Epifluorescence microscopy with image analysis was evaluated as a biofilm quantification method (i.e., quantification of surface area colonized by biofilms), in comparison with crystal violet (CV) staining. We performed different experiments to generate multispecies biofilms with natural and artificial bacterial assemblages. First, four species were inoculated daily in 16 different sequences to form biofilms (surface colonization, 0.1%-56.6%). Second, a 9-species assemblage was allowed to form biofilms under 10 acylase treatment episodes (33.8%-55.6%). The two methods comparably measured the quantitative variation in biofilms, exhibiting a strong positive relationship (R² ≥ 0.7). Moreover, the two methods exhibited similar levels of variation coefficients. Finally, six synthetic and two natural consortia were allowed to form biofilms for 14 days, and their temporal dynamics were monitored. The two methods were comparable in quantifying four biofilms colonizing ≥18.7% (R² ≥ 0.64), but not for the other biofilms colonizing ≤ 3.7% (R² ≤ 0.25). In addition, the two methods exhibited comparable coefficients of variation in the four biofilms. Microscopy and CV staining comparably measured the quantitative variation of biofilms, exhibiting a strongly positive relationship, although microscopy cannot appropriately quantify the biofilms below the threshold colonization. Microscopy with image analysis is a promising approach for easily and rapidly estimating absolute quantity of multispecies biofilms.

• 디지털융복합연구
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• 제12권6호
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• pp.433-438
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• 2014

본 연구는 흰쥐의 정소에 방사선을 조사하였을 때 시간이 경과함에 따라 나타나는 정소세포 및 정자의 변화를 현미경학적으로 얻은 영상을 기초로 영상처리에 의한 정량분석을 통하여 정자의 변화에 대한 결과를 정량화함으로써 더 정확하고 객관적인 결과를 얻고자 하는데 그 목적을 두고 있다. 연구에는 8주 수령의 흰쥐를 대상으로 하였으며, 6 MV의 X선을 1회 2 Gy를 전신 조사하였다. 총 30 마리의 흰쥐를 대상으로 방사선을 조사하지 않은 정상대조군과 실험군을 조사 즉시, 조사 2시간, 4시간, 8시간, 24시간 후에 각 실험군 마다 5마리의 정소를 각각 적출하였다. 적출 후 Periodic acid Schiff 염색을 시행하여 정상대조군과 실험군에서의 정소세포와 정자의 상태를 관찰하였다. 방사선조사 후 24시간까지, 정소세포수와 정자수가 점차 감소하는 것을 정성적 및 정량적으로 유의함을 확인하였다.

• International Journal of Computer Science & Network Security
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• 제23권4호
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• pp.39-47
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• 2023

This study compares various transformation techniques for multifocus image fusion. Multi-focus image fusion is a procedure of merging multiple images captured at unalike focus distances to produce a single composite image with improved sharpness and clarity. In this research, the purpose is to compare different popular frequency domain approaches for multi-focus image fusion, such as Discrete Wavelet Transforms (DWT), Stationary Wavelet Transforms (SWT), DCT-based Laplacian Pyramid (DCT-LP), Discrete Cosine Harmonic Wavelet Transform (DC-HWT), and Dual-Tree Complex Wavelet Transform (DT-CWT). The objective is to increase the understanding of these transformation techniques and how they can be utilized in conjunction with one another. The analysis will evaluate the 10 most crucial parameters and highlight the unique features of each method. The results will help determine which transformation technique is the best for multi-focus image fusion applications. Based on the visual and statistical analysis, it is suggested that the DCT-LP is the most appropriate technique, but the results also provide valuable insights into choosing the right approach.

• 패션비즈니스
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• 제12권3호
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• pp.54-61
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• 2008

The glitter of lame fabrics containing the metallic yarns may further be altered by $Na_2CO_3$ aqueous solution at an elevated temperature. In this study, the effect of the corrosion treatment on the yarn luster was evaluated using image analysis. The alkaline solution treatment was found to be more effective on the aluminum-based specimens than on the silver-based specimens. It was found that corrosion percentage measurement based on the transmission analysis may provide reasonable quantitative index, even if the measurement relies on an indirect method. Based on the quantitative results, the alkaline treatment condition for the specific specimen would be optimized for a desired glitter modification.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2005년도 춘계 학술발표회 논문집
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• pp.1205-1210
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• 2005

The behavior of rock mass and solute(e.g. groundwater, radioactivity) flow in fractured rock can be directly influenced by joint roughness. The characteristics of joint roughness is also a main factor for the rock classification(e.g. RMR, Q system) which is usually used in tunnel design. Nevertheless, most of JRC estimation has been carried out only by the examination with the naked eye. This JRC estimation has a lack of objectivity because each investigator judges JRC by his subjective opinion. Therefore, it will be desirable that the assessment of JRC is performed by a numerical analysis which can give a quantitative value corresponding to the characteristics of a roughness curve. Meanwhile, roughness curves for joint surfaces which are observed in drill cores have been obtained only along linear profiles. Although roughness curves are measured in the same joint surface, they can frequently show diverse aspects in a standpoint of roughness characteristics. If roughness curves can be measured along the elliptical circumferences of joint surfaces from core scanning images or Televiewer images, they will certainly be more comprehensive than those measured along linear profiles for roughness characteristics of joint surfaces. This study is focus on dealing with (1) extracting automatically roughness curves from core scan image or Televiewer image, (2) improving the accuracy of quantitative assessment of JRC using fractal dimension concept.

• 한국실내디자인학회논문집
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• 제14권2호
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• pp.217-224
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• 2005

The lack of objective decisive criteria and the absence of analyzing tools accrued from the experiments on various types developed from space design process makes it difficult to select and execute alternatives for them. As an attempt of coping with these problems, the aims of this study is to establish space analysis' models and to propose possibility of analyzing models by utilizing the technology of image process. It is now under study in the field of artificial intelligence based on the accomplishment of digital images. This study focused on establishment an analysis model based on accomplished digital images and image processing framework. It helps utilize various processing technologies that are currently in use of image processes, and problems of the study can be supplemented through further follow-up studies. Finally, analysis model can be constructed gradually huge design data in the analogue data to the digital image database and be proposed with index in design or evaluation step.

• 한국측량학회지
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• 제18권1호
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• pp.25-32
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• 2000

최근 온라인 영상분석 시스템에 의한 수치영상의 정량적 분석에 관한 연구가 활발히 진행됨에 따라 교량 및 각종 구조물의 안정성 평가에 있어 수치영상의 환용이 모색되고 있다. 본 연구에서는 CDD 카메라로부터 획득된 영상을 이용하여 구조물의 변형을 효율적으로 해석하기 위해 동일시간대 입체영상 획득과 이를 일괄적으로 처리할 수 있는 시스템을 구축하고 콘크리트 하중재하시험을 실시하여 영상해석 정확도 및 공시체의 변위량을 도출하므로써 구축한 시스템에 대한 신뢰도 분석 및 활용가능성을 제시하고자 하였다.