• 대한의용생체공학회:의공학회지
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• 제44권3호
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• pp.176-181
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• 2023

During cancer treatment, the patient's response to drugs appears differently at the cellular level. In this paper, an image-based cell phenotypic feature quantification and key feature selection method are presented to predict the response of patient-derived cancer cells to a specific drug. In order to analyze the viability characteristics of cancer cells, high-definition microscope images in which cell nuclei are fluorescently stained are used, and individual-level cell analysis is performed. To this end, first, image stitching is performed for analysis of the same environment in units of the well plates, and uneven brightness due to the effects of illumination is adjusted based on the histogram. In order to automatically segment only the cell nucleus region, which is the region of interest, from the improved image, a superpixel-based segmentation technique is applied using the fluorescence expression level and morphological information. After extracting 242 types of features from the image through the segmented cell region information, only the features related to cell viability are selected through the ReliefF algorithm. The proposed method can be applied to cell image-based phenotypic screening to determine a patient's response to a drug.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.II
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• pp.227-235
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• 2000

Agricultural products are easily deformable its shape because of some external forces. However, these force behavior is difficult to measure quantitatively. Until now, many researches on the mechanical property was performed with various methods such as material testing, chemical analysis and non-destructive methods. In order to investigate force behavior on the cellular unit of agricultural products, electro-microscope based 3D image processing method will contribute to analysis of plant cells behavior. Before image measurement of plant cells, plant sample was cut off cross-sectioned area in a size of almost 300-400 ${\mu}$ m units using the micron thickness device, and some of preprocessing procedure was performed with fixing and dyeing. However, the wall structure of plant cell is closely neighbor each other, it is necessary to separate its boundary pixel. Therefore, image merging and shrinking algorithm was adopted to avoid disconnection. After then, boundary pixel was traced through thinning algorithm. Each image from the electro-microscope has a information of x,y position and its height along the z axis cross sectioned image plane. 3D image was constructed using the continuous image combination. Major feature was acquired from a fault image and measured area, thickness of cell wall, shape and unit cell volume. The shape of plant cell was consist of multiple facet shape. Through this measured information, it is possible to construct for structure shape of unit plant cell. This micro unit image processing techniques will contribute to the filed of agricultural mechanical property and will use to construct unit cell model of each agricultural products and information of boundary will use for finite element analysis on unit cell image.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제5권6호
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• pp.267-272
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• 2016

생물정보학분야에서 현미경을 통해 얻은 세포 영상은 생물학적 정보를 얻기 위한 중요한 지표이다. 연구자들은 영상을 육안으로 분석하기 때문에 분석에 많은 시간과 고도의 집중력이 요구된다. 게다가 연구자의 주관적 관점이 분석에 개입되어 결과를 객관적으로 정량화하는데 어려움이 있다. 따라서 본 연구에서는 OpenCV 라이브러리를 이용하여 세포의 자동 분석을 위한 HCS(High Content Screen) 알고리즘을 개발하였다. HCS 알고리즘은 이미지 전처리 과정, 세포 계수, 세포 주기와 분열지수 분석 기능을 포함한다. 본 연구에서는 공초점 레이저 현미경을 통해 얻은 위암세포(MKN-28) 영상을 분석에 사용하였으며, 성능 평가를 위해 세포영상 분석 프로그램인 ImageJ와 전문 연구원의 세포 계수 분석결과를 비교하였다. 실험 결과 HCS 알고리즘의 평균 정확성이 99.7%로 나타났다.

• 한국멀티미디어학회논문지
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• 제18권10호
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• pp.1180-1188
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• 2015

In this paper, a parallel cell contour line extraction algorithm using CUDA, which has no inner contour lines, is proposed. The contour of a cell is very important in a cell image analysis. It could be obtained by a conventional serial contour tracing algorithm or parallel morphology operation. However, the cell image has various damages in acquisition or dyeing process. They could be turn into several inner contours, which make a cell image analysis difficult. The proposed algorithm introduces a min-max coordinates table into each CUDA thread block, and removes the inner contour in parallel. It is 4.1 to 7.6 times faster than a conventional serial contour tracing algorithm.

• ETRI Journal
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• 제34권1호
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• pp.138-141
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• 2012

This letter proposes a real-time digital image stabilization system for cell phone cameras without the need for frame memory. The system post-processes an image captured with a safe shutter speed using an adaptive denoising filter and a global color correction algorithm. This system can transfer the normal brightness of an image previewed under long exposure to the captured image making it bright and crisp with low noise. It is even possible to take photos in low-light conditions. By not needing frame memory, the approach is feasible for integration into the size-constrained image sensors of cell phone cameras.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.751-754
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• 2009

This paper deals with the Cell-based distributed processing for generating free viewpoint images by merging multiple differently focused images. We previously proposed the method of generating free viewpoint images without any depth estimation. However, it is not so easy to realize real-time image reconstruction based on our previous method. In this paper, we discuss the method to reduce the processing time by dimension reduction for image filtering and Cell-based distributed processing. Especially, the method of high-speed image reconstruction by the Cell processor on SONY PLAYSTATION3(PS3) is described in detail. We show some experimental results by using real images and we discuss the possibility of real-time free viewpoint image reconstruction.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 추계학술대회
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• pp.874-877
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• 2012

This paper proposes the new method based on contour following method with directional angle to segment the cell into the nuclei. The object image was the Thyroid Gland cell image that was diagnosed as normal and abnormal(two types of abnormal : follicular neoplastic cell, and papillary neoplastic cell), respectively. The nuclei were successfully diagnosed as normal and abnormal. this paper, improved method of digital image analysis required in basic medical science for diagnosis of cells was proposed. The object image was the Thyroid Gland cell image with difference of chromatin patterns. To segment the cell nucleus from background, the region segmentation algorithm by edge tracing was proposed. And feature parameter was obtained from discrete Fourier transformation of image. After construct a feature sample group of each cells, experiment of discrimination was executed with any verification cells. As a result of experiment using features proposed in this paper, get a better segmentation rate(70-90%) than previously reported papers, and this method give shape to get objectivity and fixed quantity in diagnosis of cells. The methods described in this paper be used immediately for discrimination of neoplastic cells.

• Korean Chemical Engineering Research
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• 제61권2호
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• pp.247-257
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• 2023

본 연구에서는 이미지 분석 프로그램을 통해 액적 내 박테리아 세포의 개수를 측정하는 코딩-기반의 자동화된 세포 계수 방법을 제시하였다. 먼저, 형광 이미지 기반의 분석을 위하여, 형광단백질을 발현하는 균주를 담지한 액적을 형성하고 이를 광학 및 형광 현미경을 이용하여 분석 결과를 나타냈다. 액적의 관찰을 용이하게 위하여 유리 그리드에 도포하고, 촬영한 광학 이미지를 통해 분석하고자 하는 영역(Region of Interest)을 지정하였다. 동일한 위치에서 촬영한 형광 이미지에서 앞서 지정된 영역 속 특정 임계 값을 넘는 형광 신호를 계수하여 세포 수를 정량화 하였다. 또한 서로 다른 농도의 항생제를 처리한 액적 내 박테리아의 시간에 따른 세포 개수 변화의 차이를 추적하였다. 30분 간격으로 동일한 위치에서의 형광 이미지들을 동시에 분석함으로써 시간에 따른 세포 개수 변화를 도출하였고, 본 계수법의 성능을 실험적으로 검증하였다. 본 논문의 방법은 외부 분석 프로그램을 이용한 기존 방법 대비 분석 시간을 15배 가량 단축하고, 99%의 정확도를 보이는 것으로 확인되었다. 더 나아가 사용자의 연구의 방향에 맞춰 제시된 코드의 확장 수정을 통해 다양한 종류의 세포 계수 연구에 도움이 될 것으로 기대된다.

• Journal of information and communication convergence engineering
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• 제9권4호
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• pp.466-470
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• 2011

This paper proposes the new method based on fuzzy logic which recognizes between normal and abnormal. The object image was the Thyroid Gland cell image that was diagnosed as normal and abnormal(two types of abnormal : follicular neoplastic cell, and papillary neoplastic cell), respectively. The nuclei were successfully diagnosed as normal and abnormal. The multiple feature parameters (pre-obtained 16 feature parameters of image data) were used to extract the features of each nucleus. As a consequence of using fuzzy logic algorithm, proposed in this paper, average recognition rate of 98.25% was obtained.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2010년도 추계학술발표대회
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• pp.1118-1121
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• 2010

With the advent of cell phone digital cameras, and sophisticated photo editing software, digital images can be easily manipulated and altered. Although good forgeries may leave no visual clues of having been tampered with, they may, nevertheless, alter the underlying statistics of an image. Most digital camera equipped in cell phones employ a single image sensor in conjunction with a color filter array (CFA), and then interpolates the missing color samples to obtain a three channel color image. This interpolation introduces specific correlations which are likely to be destroyed when tampering with an image. We quantify the specific correlations introduced by CFA interpolation, and describe how these correlations, or lack thereof, can be automatically detected in any portion of an image. We show the efficacy of this approach in revealing traces of digital tampering in lossless and lossy compressed color images interpolated with several different CFA algorithms in test cell phones.