• 제목/요약/키워드: Digital image processing

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디지털 이미지 프로세싱 기반 토색 분석을 위한 CIELAB 색 표시계 활용 연구 (Using the CIELAB Color System for Soil Color Identification Based on Digital Image Processing)

  • 백성하;박가현;전준서;곽태영
    • 한국지반공학회논문집
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    • 제38권5호
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    • pp.61-71
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    • 2022
  • 토색은 흙을 분류하고 물리적, 화학적, 생물학적 특성을 예측하기 위한 기초 지표로 널리 활용된다. 일반적으로 토색은 육안으로 관찰해 결정하지만 관찰자의 예민도 혹은 주관이 개입될 가능성이 높으며 많은 시간이 소요된다. 디지털 이미지 프로세싱은 디지털 이미지를 이용해 원하는 정보를 획득하는 일련의 과정으로, 이를 통해 빠르고 정확한(수치적인 혹은 통계적인) 토색 분석이 가능할 것으로 기대된다. 본 연구는 현장의 불규칙한 광조건을 고려할 수 있는 디지털 이미지 프로세싱 기반 토색 분석 기술 개발을 위한 기초단계로서 수행되었다. 자연광의 특성(조도 및 색온도)을 모사할 수 있는 디지털 이미지 촬영 스튜디오를 구축하고, 두 가지 흙 시료(주문진 표준사 및 안성 풍화토)를 대상으로 광조건을 12회 씩 바꿔가며 디지털 이미지를 촬영했다. 디지털 이미지 프로세싱을 통해 촬영된 시료의 토색을 두 가지 색 표시계(RGB, CIELAB)에 대해 추출한 결과, CIELAB 색 표시계를 활용해 현장의 불규칙한 광조건을 고려할 수 있음을 확인했다.

영상 압축을 위한 DWT Encoder 설계 (An implementation of DWT Encoder design for image compression)

  • 이강현
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 추계종합학술대회 논문집
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    • pp.491-494
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    • 1999
  • Introduction of digital communication network such as Integrated Services Digital Networks(ISDN) and digital storage media have rapidly developed. Due to a large amount of image data, compression is the key techniques in still image and video using digital signal processing for transmitting and storing. Digital image compression provides solutions for various image applications that represent digital image requiring a large amount of data. In this paper, the proposed DWT(Discrete Wavelet Transform) filter bank is consisted of simple architecture, but it is efficiently designed that a user obtain a wanted compression rate as only input parameter. If it is implemented by FPGA chip, the designed encoder operates in 12MHz.

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공간분석을 위한 정량적 분석 모델에 관한 연구 - 이미지 영상처리와 설문조사 데이터의 다중 회귀분석을 중심으로 - (A Study on Quantitative Analysis Model for Space Analysis - Focused on a Digital Image Processing and Multiple Regression Analysis of Recognition Amount -)

  • 이혁준
    • 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.

Development of Dark Field image Processing Technique for the Investigation of Nanostructures

  • Jeon, Jongchul;Kim, Kyou-Hyun
    • 한국분말재료학회지
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    • 제24권4호
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    • pp.285-291
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    • 2017
  • We propose a custom analysis technique for the dark field (DF) image based on transmission electron microscopy (TEM). The custom analysis technique is developed based on the $DigitalMicrograph^{(R)}$ (DM) script language embedded in the Gatan digital microscopy software, which is used as the operational software for most TEM instruments. The developed software automatically scans an electron beam across a TEM sample and records a series of electron diffraction patterns. The recorded electron diffraction patterns provide DF and ADF images based on digital image processing. An experimental electron diffraction pattern is recorded from a IrMn polycrystal consisting of fine nanograins in order to test the proposed software. We demonstrate that the developed image processing technique well resolves nanograins of ~ 5 nm in diameter.

디지털 화상처리를 이용한 유동장의 비접촉 3차원 고속류 계측법의 개발 (Developemet of noncontact velocity tracking algorithm for 3-dimensional high speed flows using digital image processing technique)

  • 도덕희
    • Journal of Advanced Marine Engineering and Technology
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    • 제23권2호
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    • pp.259-269
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    • 1999
  • A new algorithm for measuring 3-D velocity components of high speed flows were developed using a digital image processing technique. The measuring system consists of three CCD cameras an optical instrument called AOM a digital image grabber and a host computer. The images of mov-ing particles arranged spatially on a rotation plate are taken by two or three CCD cameras and are recorderd onto the image grabber or a video tape recoder. The three-dimensionl velocity com-ponents of the particles are automatically obtained by the developed algorithm In order to verify the validity of this technique three-dimensional velocity data sets obtained from a computer simu-lation of a backward facing step flow were used as test data for the algorithm. an uncertainty analysis associated with the present algorithm is systematically evaluated, The present technique is proved to be used as a tookl for the measurement of unsteady three-dimensional fluid flows.

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Panoramic Image Composed of Multiple Rectilinear Images Generated from a Single Fisheye Image

  • Kweon, Gyeong-Il
    • Journal of the Optical Society of Korea
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    • 제14권2호
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    • pp.109-120
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    • 2010
  • We have developed mathematically precise image-processing algorithms for extracting rectilinear images from fisheye images as well as digital pan/tilt/zoom technology. Using this technology, vertical lines always appear as vertical lines in the panned and/or tilted images. Furthermore, polygonal panoramic images composed of multiple rectilinear images have been obtained using the developed digital pan/tilt technology.

Implementation of Process System and Intelligent Monitoring Environment using Neural Network

  • Kim, Young-Tak;Kim, Gwan-Hyung;Kim, Soo-Jung;Lee, Sang-Bae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제4권1호
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    • pp.56-62
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    • 2004
  • This research attempts to suggest a detecting method for cutting position of an object using the neural network, which is one of intellectual methods, and the digital image processing method. The extraction method of object information using the image data obtained from the CCD camera as a replacement of traditional analog sensor thanks to the development of digital image processing. Accordingly, this research determines the threshold value in binary-coding of an input image with the help of image processing method and the neural network for the real-time gray-leveled input image in substitution for lighting; as a result, a specific position is detected from the processed binary-coded image and an actual system designed is suggested as an example.

Image Authentication and Restoration Using Digital Watermarking by Quantization of Integer Wavelet Transform Coefficients

  • Ahsan, Tanveer;Chong, Ui-Pil
    • 융합신호처리학회논문지
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    • 제13권4호
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    • pp.187-193
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    • 2012
  • An image authentication scheme for gray scale image through embedding a digital watermark by quantization of Integer Wavelet Transform (IWT) coefficients of the image is proposed in this paper. Proposed method is designed to detect modification of an image and to identify tampered location of the image. To embed the watermark mid-frequency band of a second level IWT was used. An approximation of the original image based on LL band was stored in LSB bits of the pixel data as a recovery mark for restoration of the image. Watermarked image has achieved a good PSNR of 40 dB compared to original cover image. Restored image quality was also very good with a PSNR of more than 35 dB compared to unmodified watermarked image even when 25% of the received image is cropped. Thus, the proposed method ensures a proper balance between the fidelity of the watermarked image and the quality of the restored image.

이미지 보간기법의 성능 개선을 위한 비국부평균 기반의 후처리 기법 (Non-Local Mean based Post Processing Scheme for Performance Enhancement of Image Interpolation Method)

  • 김동형
    • 디지털산업정보학회논문지
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    • 제16권3호
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    • pp.49-58
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    • 2020
  • Image interpolation, a technology that converts low resolution images into high resolution images, has been widely used in various image processing fields such as CCTV, web-cam, and medical imaging. This technique is based on the fact that the statistical distributions of the white Gaussian noise and the difference between the interpolated image and the original image is similar to each other. The proposed algorithm is composed of three steps. In first, the interpolated image is derived by random image interpolation. In second, we derive weighting functions that are used to apply non-local mean filtering. In the final step, the prediction error is corrected by performing non-local mean filtering by applying the selected weighting function. It can be considered as a post-processing algorithm to further reduce the prediction error after applying an arbitrary image interpolation algorithm. Simulation results show that the proposed method yields reasonable performance.

디지털 영상처리를 이용한 복합재료 시편의 면적 측정 (The Area Measurement of Composite Specimen using Digital Image Processing)

  • 손병직;이규환
    • 복합신소재구조학회 논문집
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    • 제6권2호
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    • pp.17-22
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    • 2015
  • In this paper, we study the calculation for the fracture area of the composite material specimens using digital image processing techniques. This study was able to calculate the area of the fracture region through the main operation step 7 on the basis of improved image. To extract the area in the original image, we have to use opening operation, close operation, the Hit-or-Miss operation and Bottom hat filter, Top hat filter, etc. In particular, to extract the area of the composite specimen discussed in this study, we have to use the combination of the operations and filters because it is non-isotropic material, or should develop a new algorithm based on it.