• Title/Summary/Keyword: image interpolation

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LASPI: Hardware friendly LArge-scale stereo matching using Support Point Interpolation (LASPI: 지원점 보간법을 이용한 H/W 구현에 용이한 스테레오 매칭 방법)

  • Park, Sanghyun;Ghimire, Deepak;Kim, Jung-guk;Han, Youngki
    • Journal of KIISE
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    • v.44 no.9
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    • pp.932-945
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    • 2017
  • In this paper, a new hardware and software architecture for a stereo vision processing system including rectification, disparity estimation, and visualization was developed. The developed method, named LArge scale stereo matching method using Support Point Interpolation (LASPI), shows excellence in real-time processing for obtaining dense disparity maps from high quality image regions that contain high density support points. In the real-time processing of high definition (HD) images, LASPI does not degrade the quality level of disparity maps compared to existing stereo-matching methods such as Efficient LArge-scale Stereo matching (ELAS). LASPI has been designed to meet a high frame-rate, accurate distance resolution performance, and a low resource usage even in a limited resource environment. These characteristics enable LASPI to be deployed to safety-critical applications such as an obstacle recognition system and distance detection system for autonomous vehicles. A Field Programmable Gate Array (FPGA) for the LASPI algorithm has been implemented in order to support parallel processing and 4-stage pipelining. From various experiments, it was verified that the developed FPGA system (Xilinx Virtex-7 FPGA, 148.5MHz Clock) is capable of processing 30 HD ($1280{\times}720pixels$) frames per second in real-time while it generates disparity maps that are applicable to real vehicles.

A Pixel-based Assessment of Urban Quality of Life (도시의 삶의 질을 평가하기 위한 화소기반 기법)

  • Jun, Byong-Woon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.9 no.3
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    • pp.146-155
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    • 2006
  • A handful of previous studies have attempted to integrate socioeconomic data and remotely sensed data for urban quality of life assessment with their spatial dimension in a zonal unit. However, such a zone-based approach not only has the unrealistic assumption that all attributes of a zone are uniformly spatially distributed throughout the zone, but also has resulted in serious methodological difficulties such as the modifiable areal unit problem and the incompatibility problem with environmental data. An alternative to the zone-based approach can be a pixel-based approach which gets its spatial dimension through a pixel. This paper proposes a pixel-based approach to linking remotely sensed data with socioeconomic data in GIS for urban quality of life assessment. The pixel-based approach uses dasymetric mapping and spatial interpolation to spatially disaggregate socioeconomic data and integrates remotely sensed data with spatially disaggregated socioeconomic data for the quality of life assessment. This approach was implemented and compared with a zone-based approach using a case study of Fulton County, Georgia. Results indicate that the pixel-based approach allows for the calculation of a microscale indicator in the urban quality of life assessment and facilitates efficient data integration and visualization in the assessment although it costs an intermediate step with more processing time such as the disaggregation of zonal data. The results also demonstrate that the pixel-based approach opens up the potential for the development of new database and increased analytical capabilities in urban analysis.

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Theoretical Investigation of Metal Artifact Reduction Based on Sinogram Normalization in Computed Tomography (컴퓨터 단층영상에서 사이노그램 정규화를 이용한 금속 영상왜곡 저감 방법의 이론적 고찰)

  • Jeon, Hosang;Youn, Hanbean;Nam, Jiho;Kim, Ho Kyung
    • Progress in Medical Physics
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    • v.24 no.4
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    • pp.303-314
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    • 2013
  • Image quality of computed tomography (CT) is very vulnerable to metal artifacts. Recently, the thickness and background normalization techniques have been introduced. Since they provide flat sinograms, it is easy to determine metal traces and a simple linear interpolation would be enough to describe the missing data in sinograms. In this study, we have developed a theory describing two normalization methods and compared two methods with respect to various sizes and numbers of metal inserts by using simple numerical simulations. The developed theory showed that the background normalization provide flatter sinograms than the thickness normalization, which was validated with the simulation results. Numerical simulation results with respect to various sizes and numbers of metal inserts showed that the background normalization was better than the thickness normalization for metal artifact corrections. Although the residual artifacts still existed, we have showed that the background normalization without the segmentation procedure was better than the thickness normalization for metal artifact corrections. Since the background normalization without the segmentation procedure is simple and it does not require any users' intervention, it can be readily installed in conventional CT systems.

Enhancement of Geomorphology Generation for the Front Land of Levee Using Aerial Photograph (항공영상을 연계한 하천 제외지의 지형분석 개선 기법)

  • Lee, Geun Sang;Lee, Hyun Seok;Hwang, Eui Ho;Koh, Deuk Koo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.3D
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    • pp.407-415
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    • 2008
  • This study presents the methodology to link with aerial photos for advancing the accuracy of topographic survey data that is used to calculate water volume in urban stream. First, GIS spatial interpolation technique as Inverse Distance Weight (IDW) and Kriging was applied to construct the terrain morphology to the sand-bar and grass area using cross-sectional survey data, and also validation point data was used to estimate the accuracy of created topographic data. As the result of comparison, IDW ($d^{-2}_{ij}$, 2nd square number) in Sand-bar area and Kriging Spherical model in grass area showed more efficient results in the construction of topographic data of river boundary. But the differences among interpolation methods are very slight. Image classification method, Minimum Distance Method (MDM) was applied to extract sand-bar and grass area that are located to river boundary efficiently and the elevation value of extracted layers was allocated to the water level point value. Water volume with topographic data from aerial photos shows the advanced accuracy of 13% (in sand-bar) and 12% (in grass) compared to the water volume of original terrain data. Therefore, terrain analysis method in river linking with aerial photos is efficient to the monitoring about sand-bar and grass area that are located in the downstream of Dam in flooding season, and also it can be applied to calculate water volume efficiently.

The study on physical factors related with emotional reaction on the flying path (나는(flying) 궤적(path)에 있어서 감성반응을 일으키는 물리적 속성(요소)에 대한 연구)

  • Kim, Do-Yun;Jeong, Jea-Wook
    • Archives of design research
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    • v.18 no.4 s.62
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    • pp.139-146
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    • 2005
  • Animation works have been peformed by the objective sensitivity and experience so far. Software designs have been also manufactured based on intelligent data because they are easy to objectify and digitalize. In contrast, there are many elements, which human senses are hard to objectify and digitalize. This study investigates how to digitalize and objectify human senses and how to use them as the quantitative data and its subject is a flying path. In the experiment, this study collects some sensitive words for how human beings express the living path. The evaluation words for sensitivity through the collected sensitive words are extracted and the sketch images for the flying path are collected from the extracted evaluation words for sensitivity. Based on the collected sketch images, the samples of real moving image, which are the core of this study, are manufactured. Then, quantification theory III and I are used in order to analyze the correlation between the sensitive words representing the flying path and the samples of moving image. As a result, this study can figure out the structure of sensitive words and the samples of moving image and analyze the physical stimulating elements for the flying path. The flying path corresponds to the path that the object has passed. Some unique sensitive words are expressed by means of interacting some sensitive stimulating elements after looking at such a path. There are some elements that stimulate the senses and they include the physical elements such as speed, rotation, pattern and length of arc. The purpose of this study is to objectify and quantify the animation works that are created by animators' subjective thought and experience and to use them in animation works in the future.

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Facial Contour Extraction in Moving Pictures by using DCM mask and Initial Curve Interpolation of Snakes (DCM 마스크와 스네이크의 초기곡선 보간에 의한 동영상에서의 얼굴 윤곽선 추출)

  • Kim Young-Won;Jun Byung-Hwan
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.43 no.4 s.310
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    • pp.58-66
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    • 2006
  • In this paper, we apply DCM(Dilation of Color and Motion information) mask and Active Contour Models(Snakes) to extract facial outline in moving pictures with complex background. First, we propose DCM mask which is made by applying morphology dilation and AND operation to combine facial color and motion information, and use this mask to detect facial region without complex background and to remove noise in image energy. Also, initial curves are automatically set according to rotational degree estimated with geometric ratio of facial elements to overcome the demerit of Active Contour Models which is sensitive to initial curves. And edge intensity and brightness are both used as image energy of snakes to extract contour at parts with weak edges. For experiments, we acquired total 480 frames with various head-poses of sixteen persons with both eyes shown by taking pictures in inner space and also by capturing broadcasting images. As a result, it showed that more elaborate facial contour is extracted at average processing time of 0.28 seconds when using interpolated initial curves according to facial rotation degree and using combined image energy of edge intensity and brightness.

Study of The Amorphous Selenium (a-Se) using 2-dimensional Device Simulator (2차원 소자 시뮬레이터를 이용한 비정질 셀레늄(a-Se) 분석)

  • Kim, Si-Hyoung;Kim, Chang-Man;Nam, Ki-Chang;Kim, Sang-Hee;Song, Kwang-Soup
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.10
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    • pp.187-193
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    • 2012
  • Digital X-ray image detector has been applied for medical and industrial fields. Photoconductors have been used to convert the X-ray energy to electrical signal on the direct digital X-ray image detector and amorphous selenium (a-Se) has been used as a photoconductor, normally. In this work, we use 2-dimensional device (2-D) simulator to study about physical phenomena in the a-Se, when we irradiate electromagnetic radiation (${\lambda}=486nm$) on the a-Se surface. We evaluate the electron-hole generation rate, electron-hole recombination rate, and electron/hole distribution in the a-Se using 2-D simulator. This simulator divides the device into triangle and calculates using interpolation method. This simulation method has been proposed for the first time and we expect that it will be applied for the development of digital X-ray image detector.

Image Character Recognition using the Mellin Transform and BPEJTC (Mellin 변환 방식과 BPEJTC를 이용한 영상 문자 인식)

  • 서춘원;고성원;이병선
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.17 no.4
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    • pp.26-35
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    • 2003
  • For the recognizing system to be classified the same or different images in the nature the rotation, scale and transition invariant features is to be necessary. There are many investigations to get the feature for the recognition system and the log-polar transform which is to be get the invariant feature for the scale and rotation is used. In this paper, we suggested the character recognition methods which are used the centroid method and the log-polar transform with the interpolation to get invariant features for the character recognition system and obtained the results of the above 50% differential ratio for the character features. And we obtained the about 90% recognition ratio from the suggested character recognition system using the BPEJTC which is used the invariant feature from the Mellin transform method for the reference image. and can be recognized the scaled and rotated input character. Therefore, we suggested the image character recognition system using the Mellin transform method and the BPEJTC is possible to recognize with the invariant feature for rotation scale and transition.

Hierarchical Non-Rigid Registration by Bodily Tissue-based Segmentation : Application to the Visible Human Cross-sectional Color Images and CT Legs Images (조직 기반 계층적 non-rigid 정합: Visible Human 컬러 단면 영상과 CT 다리 영상에 적용)

  • Kim, Gye-Hyun;Lee, Ho;Kim, Dong-Sung;Kang, Heung-Sik
    • Journal of Biomedical Engineering Research
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    • v.24 no.4
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    • pp.259-266
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    • 2003
  • Non-rigid registration between different modality images with shape deformation can be used to diagnosis and study for inter-patient image registration, longitudinal intra-patient registration, and registration between a patient image and an atlas image. This paper proposes a hierarchical registration method using bodily tissue based segmentation for registration between color images and CT images of the Visible Human leg areas. The cross-sectional color images and the axial CT images are segmented into three distinctive bodily tissue regions, respectively: fat, muscle, and bone. Each region is separately registered hierarchically. Bounding boxes containing bodily tissue regions in different modalities are initially registered. Then, boundaries of the regions are globally registered within range of searching space. Local boundary segments of the regions are further registered for non-rigid registration of the sampled boundary points. Non-rigid registration parameters for the un-sampled points are interpolated linearly. Such hierarchical approach enables the method to register images efficiently. Moreover, registration of visibly distinct bodily tissue regions provides accurate and robust result in region boundaries and inside the regions.

Estimation of Spatial Evapotranspiration Using Terra MODIS Satellite Image and SEBAL Model - A Case of Yongdam Dam Watershed - (Terra MODIS 위성영상과 SEBAL 모형을 이용한 공간증발산량 산정 연구 - 용담댐 유역을 대상으로 -)

  • Lee, Yong-Gwan;Kim, Sang-Ho;Ahn, So-Ra;Choi, Min-Ha;Lim, Kwang-Suop;Kim, Seong-Joon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.18 no.1
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    • pp.90-104
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    • 2015
  • The purpose of this paper is to build a spatio-temporal evapotranspiration(ET) estimation model using Terra MODIS satellite image and by calibrating with the flux tower ET data from watershed. The fundamentals of spatial ET model, Surface Energy Balance Algorithm for Land(SEBAL) was adopted and modified to estimate the daily ET of Yongdam Dam watershed in South Korea. The daily Normalized Distribution Vegetation Index(NDVI), Albedo, and Land Surface Temperature(LST) from MODIS and the ground measured wind speed and solar radiation data were prepared for 2 years(2012-2013). The SEBAL was calibrated with the forest ET measured by Deokyusan flux tower in the study watershed. Among the model parameters, the important parameters were surface albedo, NDVI and surface roughness in order for momentum transport during calculation of sensible heat flux. As a result of the final calibration, the monthly averaged albedo and NDVI were used because the daily values showed big deviation with unrealistic change. The determination coefficient($R^2$) between SEBAL and flux data was 0.45. The spatial ET reflected the geographical characteristics showing the ET of lowland areas was higher than the highland ET.