• Title/Summary/Keyword: microscopic image

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Enlargement of Field-of-View (FOV) of the CCD Camera by the Current Adjustment of the Projection Lens System in the KBSI-HVEM (KBSI-HVEM 투사렌즈 전류제어에 의한 CCD Camera의 Field of View(FOV) 확장)

  • Kim, Young-Min;Shim, Hyo-Sik;Kim, Youn-Joong
    • Applied Microscopy
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    • v.35 no.4
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    • pp.98-104
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    • 2005
  • A FOV (field-of-view) of the HV-MSC (high voltage multi-scan CCD, $1024{\times}1024$ pixels) camera mounted in the post-column HV-GIF (high voltage gatan image filter) has been drastically enlarged by the projection lens current adjustment. An imaging area of the HV-MSC camera obtained at the lowest magnification (2,000x) is $112{\mu}m^2$ which corresponds to the recording area of the film at the magnification of 8,800x, while the achievable recording area is only $0.43{\mu}m^2$ at the same magnification without this technique. Ignoring the image distortion of less than 5%, we have designed an on-site reference graph to estimate projection lens currents for microscope magnifications above 8,800x, where the recording area on the HVMSC is same as that on the film.

Analysis of Motional Characteristics of Sperm Using Image Processing (영상처리를 이용한 정자의 운동 특성 분석)

  • Shim, Hoon-Sup;Yi, Won-Jin;Park, Kwang-Suk;Paick, Jae-Seung
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.11
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    • pp.109-115
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    • 1994
  • In this paper, we developed an analyzing method of the motional characteristics of sperm, using image processing technology. Without the aid of a dedicated image-processor, this processing of a personal computer(PC) and a simple image processing board. The image processing board is used for acquiring images from a microscopic imaging source. The PC processes the images from the board and computes the parameters of motional characteristics of sperms. The algorithm of the site detection of sperms and the 'Match Matrix Method' is noteworthy. After comparing the results of our method with those of the manual method, and with those of the method using a dedicated image-processor, we concluded that our method is useful and reliable.

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A scheme of extracting age-related wrinkle feature and skin age based on dermoscopic images (피부 현미경 영상을 통한 피부 특징 추출 및 피부 나이 도출 기법)

  • Choi, Young-Hwan;Hwang, Een-Jun
    • Journal of IKEEE
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    • v.14 no.4
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    • pp.332-338
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    • 2010
  • Usually, mage feature extraction methods are performed as a pre-processing step in many applications including image retrieval, object recognition, and image indexing. Especially, in the image texture analysis, texture feature extraction methods attempt to increase texture contrast to make it easier to extract the texture features from the image. One of the distinct textures in microscopic skin image is the wrinkle, and its features could provide various useful information for the age-related applications. In this paper, we propose a scheme to extract age-related features from the skin images and improve its accuracy in the skin age estimation.

Video Rate Image Signal Processing for Optical Coherence Tomography (광학 영상기를 위한 실시간 영상 신호 처리에 관한 연구)

  • 나지훈;이병하;이창수
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.3
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    • pp.239-248
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    • 2004
  • Optical coherence tomography(OCT) is high resolution imaging system which can see the cross section of microscopic organs in the living tissue. In this paper, we analyze the relation between the light source and the resolution of modulated signal in Michelson interferometer. We construct 1-D OCT signal processing hardware such as amplifiers, filters, and demodulate electronic signals from the photo detector. In order to get 2-D OCT image, the synchronization among optical delay line, sample stage and A/D converter is dealt with. In experiments, we verify analog and digital signal processing blocks which apply to the stacks of glasses. Finally we aquire high resolution 2-D OCT image with respect to the onion tissue. We expect that this result can be applied to the medical instrument through performance improvement.

Study on Flow Characteristics of Electro-Rheological Fluids with Electric Field Control (전기장으로 제어되는 ER유체의 유동특성에 관한 연구)

  • Yun Shin-Il;Jang Sung-Cheol;Lee Hae-Soo
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.14 no.5
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    • pp.49-54
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    • 2005
  • An experimental Investigation was performed to study the characteristics of Electro-Rheological fluid flow in a horizontal rectangular tube with or without D.C electric field control. First, the microscopic behavior of the ER suspension structure between rectangular tube brass electrodes for the stationary ER nut(i and flow of the ER fluid was investigated by flow visualization. The flow of the ER fluid between fluid rectangular tube was solved experimental using the constitutive equation for a Bingham fluid. ER fluid is made silicon oil mixed with $0.2wt\%$ starch having hydrous particles. Velocity distributions of the ER fluids were obtained by particle image velocimetry measuring those of the clusters using an image processing technique.

Microscopic Traffic Analysis of Freeway Based on Vehicle Trajectory Data Using Drone Images (드론 영상을 활용한 차량궤적자료 기반 고속도로 미시적 교통분석)

  • Ko, Eunjeong;Kim, Soohee;Kim, Hyungjoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.6
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    • pp.66-83
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    • 2021
  • Vehicles experience changes in driving behavior due to the various facilities on the freeway. These sections may cause repetitive traffic congestion when the traffic volume increases, so safety issues may be raised. Therefore, the purpose of this study is to perform microscopic traffic analysis on these sections using drone images and to identify the causes of traffic problems. In the case of drone image, since trajectory data of individual vehicles can be obtained, empirical analysis of driving behavior is possible. The analysis section of this study was selected as the weaving section of Pangyo IC and the sag section of Seohae Bridge. First, the trajectory data was extracted through the drone image. And the microscopic traffic analysis performed on the speed, density, acceleration, and lane change through cell-unit analysis using Generalized definition method. This analysis results can be used as a basic study to identify the cause of the problem section in the freeway. Through this, we aim to improve the efficiency and convenience of traffic analysis.

Image Analysis Using Grid Suppression Software to Remove Moire Artifact from Micro Lesions of Sprague Dawley Rat (Sprague Dawley Rat의 미세병변에서 Moire Artifact를 제거하기 위한 Grid suppression software 사용 후 영상분석)

  • Lee, Sang-Ho
    • Journal of radiological science and technology
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    • v.40 no.4
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    • pp.575-580
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    • 2017
  • Because moire artifacts overlap with fine lesions and frequency bands, image processing software that removes moire artifacts can lead to loss of micro lesions. In this study, microscopic lesions such as microcalcification and microfracture were randomly formed on SD (Sprague Dawley) rats and image and optimized grid images were compared and analyzed using reference image and grid suppression software. The images were read by two consecutive radiologists using a McNemar's test. Among the 73 microcalcifications, in the 13 cases after grid suppression, the image of the optimized grid shows the loss of image in 3 cases, and the image after grid suppression shows statistically significant image loss (p=0.021). In all 53 fracture lines, there were 19 cases of image loss after the grid suppression, and only one case of the optimized grid showed no image loss. Therefore, the use of grid suppression software to remove moire artifacts should be carefully considered in the diagnosis of micro lesions.

Three Dimensional Confocal Imaging and Biomedical Image Analysis (3차원 Confocal Imaging과 생체 영상 분석)

  • Lee, Yim-Kul
    • Proceedings of the KOSOMBE Conference
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    • v.1995 no.11
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    • pp.257-261
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    • 1995
  • Confocal laser scanning microscopy (CLSM)는 기존의 coherent or incoherent microscopic imaging 보다 횡축 방향 (lateral direction)으로 고해상도를 가지며, 층과 층 사이를 구분하는 광축 방향 (axial direction)의 optical sectioning에 의해 샘플의 3D 구조를 고해상도로 영상화함으로써 3D 구조 및 생체 기능 분석을 가능하게 해 준다. 본 논문에서는 CLSM에 의한 3D 영상화 원리와 촛점면 부근에서 얻어지는 광세기 분포, 얻어진 2D slice 영상의 시각화 및 응용에 대해 논의된다.

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3D Shape Reconstruction from Microscopic Serial Section Images (현미경 섹션 영상으로부터 3차원 형상 복구 기법)

  • 윤일동;이후성
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2379-2382
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    • 2003
  • This paper describes the design, implementation and results of a unified non-rigid image registration method for the purposes of 3D shape reconstruction from serial section images. The proposed method uses active contour-based segmentation and compensation of radial distortion. Experimental results show that multiple images can be segmented and reconstructed by active single contour as well as intra- and inter-section registration.

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Deep Learning-based Automatic Wrinkles Segmentation on Microscope Skin Images for Skin Diagnosis (피부진단을 위한 딥러닝 기반 피부 영상에서의 자동 주름 추출)

  • Choi, Hyeon-yeong;Ko, Jae-pil
    • Journal of Advanced Navigation Technology
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    • v.24 no.2
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    • pp.148-154
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    • 2020
  • Wrinkles are one of the main features of skin aging. Conventional image processing-based wrinkle detection is difficult to effectively cope with various skin images. In particular, Wrinkle extraction performance is significantly decreased when the wrinkles are not strong and similar to the surrounding skin. In this paper, deep learning is applied to extract wrinkles from microscopic skin images. In general, the microscope image is equipped with a wide-angle lens, so the brightness at the boundary area of the image is dark. In this paper, to solve this problem, the brightness of the skin image is estimated and corrected. In addition, We apply the structure of semantic segmentation network suitable for wrinkle extraction. The proposed method obtained an accuracy of 99.6% in test experiments on skin images collected in our laboratory.