• Title/Summary/Keyword: Sliced Image data

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Study on the Reconstruction of Skull Prototype using Sliced Image Data (단면 영상 데이터에 의한 두상 인골모형 제작에 관한 연구)

  • 허성민;한동구;이기현;이석희;최병욱
    • Journal of the Korean Society for Precision Engineering
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    • v.17 no.5
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    • pp.76-83
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    • 2000
  • Shape reconstruction is considered as a new technology to be useful and important in many areas such as RPD (Rapid Product Development) and reverse engineering, compared with the conventional design and manufacturing. In shape reconstruction, it becomes possible to reconstruct objects not by their measured shape data but those data extracted from the original shape. The goal of this research is to realize 3D shape construction by showing a possible way to analyze the input image data and reconstruct that original shape. The main 2 steps of the reconstructing process are getting cross-section data from image processing and linking loops between one slice and the next one. And the reconstructed object in this way is compared with the other object using a laser scanner and modelled by an commercial software.

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3D Model Retrieval Using Sliced Shape Image (단면 형상 영상을 이용한 3차원 모델 검색)

  • Park, Yu-Sin;Seo, Yung-Ho;Yun, Yong-In;Kwon, Jun-Sik;Choi, Jong-Soo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.45 no.6
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    • pp.27-37
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    • 2008
  • Applications of 3D data increase with advancement of multimedia technique and contents, and it is necessary to manage and to retrieve for 3D data efficiently. In this paper, we propose a new method using the sliced shape which extracts efficiently a feature description for shape-based retrieval of 3D models. Since the feature descriptor of 3D model should be invariant to translation, rotation and scale for its model, normalization of models requires for 3D model retrieval system. This paper uses principal component analysis(PCA) method in order to normalize all the models. The proposed algorithm finds a direction of each axis by the PCA and creates orthogonal n planes in each axis. These planes are orthogonalized with each axis, and are used to extract sliced shape image. Sliced shape image is the 2D plane created by intersecting at between 3D model and these planes. The proposed feature descriptor is a distribution of Euclidean distances from center point of sliced shape image to its outline. A performed evaluation is used for average of the normalize modified retrieval rank(ANMRR) with a standard evaluation from MPEG-7. In our experimental results, we demonstrate that the proposed method is an efficient 3D model retrieval.

Study on the Reconstruction of Skull Prototype using CT image and Laser Scanner

  • Hur, Sung-Min;Lee, Seok-Hee
    • International Journal of Precision Engineering and Manufacturing
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    • v.1 no.1
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    • pp.146-151
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    • 2000
  • The importance of shape reconstruction is increasing in many areas such as RPD(Rapid Product Development) and reverse engineering. Typical data in these areas are mainly classified as the shape data measured by a laser scanner and the data extracted from the CT image. The goal of this research is to realize three-dimensional shape construction by showing a possible way to analyze input image data and reconstruct the original shape. Two main steps of the reconstructing process are obtaining cross-section data from image processing and linking loops between one slice and the next. Objects reconstructed in this way are compared with other objects using a laser scanner and modelled by commercially available software. The technique is expected to be used in reverse engineering applications and the object modeling with automated process.

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Automaitc Generation of Fashion Image Dataset by Using Progressive Growing GAN (PG-GAN을 이용한 패션이미지 데이터 자동 생성)

  • Kim, Yanghee;Lee, Chanhee;Whang, Taesun;Kim, Gyeongmin;Lim, Heuiseok
    • Journal of Internet of Things and Convergence
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    • v.4 no.2
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    • pp.1-6
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    • 2018
  • Techniques for generating new sample data from higher dimensional data such as images have been utilized variously for speech synthesis, image conversion and image restoration. This paper adopts Progressive Growing of Generative Adversarial Networks(PG-GANs) as an implementation model to generate high-resolution images and to enhance variation of the generated images, and applied it to fashion image data. PG-GANs allows the generator and discriminator to progressively learn at the same time, continuously adding new layers from low-resolution images to result high-resolution images. We also proposed a Mini-batch Discrimination method to increase the diversity of generated data, and proposed a Sliced Wasserstein Distance(SWD) evaluation method instead of the existing MS-SSIM to evaluate the GAN model.

Optical security scheme using phase-encoded XOR operations (위상 변조 Exclusive-OR 연산을 이용한 광학적 암호화 방법)

  • 신창목;서동환;김수중
    • Korean Journal of Optics and Photonics
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    • v.14 no.6
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    • pp.623-629
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    • 2003
  • In this paper, we have proposed a full phase encryption scheme based on phase-encoded XOR operation. The proposed scheme encrypts a gray-level image by slicing an original image and combining with XORed images which resulted from phase-encoded XOR operations between sliced images and phase-encoded binary random images. Then we produce an encrypted image by combining only XORed images and a key image by only phase-encoded binary random images. The encrypted image and key image are converted into encrypted data and key data by a phase-encoding method. The merits are that the proposed encryption scheme can basically fulfill a high-level encryption using a full phase encryption scheme which has nonlinear and invisible characteristics. The scheme also improves security by encrypting the phase information before full phase encryption. The decryption system based on the principle of interference between a reference wave and a direct pixel-to-pixel mapping image of encrypted data with key data can be simply implemented using a phase-visualization system. Simulation results indicate that our proposed encryption scheme is effective and simple for a gray-scale image and optical decryption system.

Hologram segmentation for relaxing sampling constraint in digital hologram (디지틀 홀로그램에서 샘플링 조건 완화를 위한 홀로그램 Segmentation)

  • 양훈기;류치연;김은수
    • Journal of the Korean Institute of Telematics and Electronics D
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    • v.35D no.8
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    • pp.76-81
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    • 1998
  • This paper presents a new method to synthesize a digital hologram that meets the resolution of a currently manufactured LCD while capable of displaying a 3-D object. That is accomplished by segmenting a hologram, resulting in relaxed sampling constraint. We show that the segmentation of a hologram enables us to utilize the planewave approximation and, unlike in a holographic stereogram, it does not require projection process, but directly takes fourier transform of horizontally sliced 2-D images that constitute a 3-D object, which makes it possible to reconstruct a higher resolution image with depth information. We also show that proposed hologram contains data significantly smaller than the conventional hologram does, which is quite useful for constructing wide-viewing hologram. Finally, simulation results obtained by both methods are compared.

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Role of $17{\beta}$- Estradiol on Brain Atrophy Following Cerebral Infarction (뇌졸중후 뇌위축에 대한 조경론적 접근)

  • 윤상협;이종수
    • The Journal of Korean Medicine
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    • v.21 no.4
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    • pp.9-15
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    • 2000
  • Objective : The aim of this study was to investigate the neuroprotection effect of estrogen on brain atrophy following cerebral infarction. Method : All animals in this study were classified into 4 groups; ovariectomy group (OVXgroup), cerebral infarction group (INF group), combination ovariectomy and cerebral infarction group (OVX + INF group), and naturally intact group for control data (NOR group). Cerebral infarction was made by Chen's method with some modification. Ovariectomy was performed by Wayforth's method. Experimental data for each group was collected at 15 days, month, 3 months, and 6 months after starting observation. Serum $17{\beta}-estradiol(E2)$ was determined by radioimmunoassay. Brain volume was measured and calculated with image analysis. Each brain was sliced at intervals of 2mm in chamber after 30 min of freezing in refregerater. Cerebral volume was obtained by sum of volume of each slice level, which was mean $area{\;}{\times}{\;}2mm$. Results : Cerebral ischemia was found to decrease the serum concentration of $17{\beta}-{\;}estradiol(E2)$ and to inhibit the physiologically conpensatary function of the ovariectomized rats. Also we found that deprivation of estrogen have resulted in more severe cerebral atrophy followed by cerebral infarction. Conclusion : It is suggested that estrogen has a neuroprotection effect on cerebral atrophy following cerebral infarction.

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A Digital Low-pass Filter appliable for Bluetooth Baseband (블루투스 베이스밴드에 적용 가능한 디지털 로우패스 필터)

  • Moon, Sang-ook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.2
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    • pp.1000-1002
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    • 2005
  • In the Bluetooth piconet in which up to 7 slave devices can be connected simultaneously at one network instance, the wireless data expected to be sent over to the RF interface should be sliced by the unit of 1 micrometer, which is a requirement in the specification of the Bluetooth version 1.1. In this contribution, we have designed a digital low-pass filter which is able to slice the unstable analog signal fed from the RF interface to the Baseband, by the uniform unit of 1 micrometer, and is also capable of removing the possible noise which can be caused by the analog circuit system. The low-pass filter operated well in the various modes of the Bluetooth RF embedded Baseband chip such as sleep mode, normal mode, and high-speed mode at 12MHz, 24MHz, and 48MHz respectively.

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Computational Analysis of Airflow in Upper Airway for Drug Delivery of Asthma Inhaler (천식 흡입기의 약물전달을 위한 상기도내의 유동해석)

  • Lee, Gyun-Bum;Kim, Sung-Kyun
    • Transactions of the KSME C: Technology and Education
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    • v.2 no.2
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    • pp.73-80
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    • 2014
  • Drug delivery in human upper airway was studied by the numerical simulation of oral airflow. We created an anatomically accurate upper airway model from CT scan data by using a medical image processing software (Mimics). The upper airway was composed of oral cavity, pharynx, larynx, trachea, and second generations of branches. Thin sliced CT data and meticulous refinement of model surface under the ENT doctor's advice provided more sophisticated nasal cavity models. With this 3D upper airway models, numerical simulation was conducted by ANSYS/FLUENT. The steady inspiratory airflows in that model was solved numerically for the case of flow rate of 250 mL/s with drug-laden spray(Q= 20, 40, 60 mL/s). Optimal parameters for mechanical drug aerosol targeting of predetermined areas was to be computed, for a given representative upper airways. From numerical flow visualization results, as flow-rate of drug-laden spray increases, the drag spray residue in oral cavity was increased and the distribution of drug spray in trachea and branches became more homogeneous.

A Pilot Study on Environmental Understanding and Estimation of the Nak-Dong River Basin Using Fuyo-1 OPS Data (Fuyo-1 OPS 자료를 이용한 낙동강 하류지역의 환경계측 시고)

  • Kim, Cheon
    • Korean Journal of Remote Sensing
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    • v.12 no.2
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    • pp.169-198
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    • 1996
  • The objectives of this investigation are : 1. To analyze spectral signature and the associated vegetation index for geometric illumination conditions inf1uenced by low solar elevation and high slope orientations in mountainous forest. 2. To assess the accuracy of the spectral angle mapper classification for the a winter land cover in comparison with the maximum likelihood classification. 3. To produce the image of water quality and water properties that could be used to estimate the water pollution sources and the tide-included by turbid water in estuarine and coastal areas. These objectives are to characterize environmental and ecological monitoring applications of the Nak-Dong River Basin by using Fuyo-1 OPS VNIR data acquired on December 26, 1992. The results of this paper are as follows : 1. The spectral digital numbers and vegetation indexes (NDVI and TVI) of mountainous forest are higher on the slope facing the sun than on the slope hidden the sun under low sun elevation condition. 2. The spectral angle mapper algorithm produces a more accurate land cover classification of areas with steep slope, various aspects and low solar elevation than the maximum likelihood classifier. 3. The maximum likelihood classification images can be used for identifying the location and movement of both freshwater and salt water, regardless of geometric illumination conditions. 4. The color-coded density sliced image of selected water bodies by using the near-infrared band 3 can provide distribution of the water quality of the Lower Nak-Dong River. 5. The color-coded normalized difference vegetation index image of the selected mountain forest is suitable to classify winter vegetation cover types, i.e., forest canopy densities for slope orientations.