• 제목/요약/키워드: Image J

검색결과 1,518건 처리시간 0.03초

영상 피라미드법을 이용한 원자간력 현미경의 측정면적 확대 알고리즘 개선 (Improved algorithm for measurement area expansion of atomic force microscope using Image pyramid method)

  • 고명준;서용규;홍성욱
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2006년도 춘계학술대회 논문집
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    • pp.483-484
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    • 2006
  • This paper introduces an improved surface matching algorithm that can be used to reconstruct the surface topography of an object that is scanned from multiple overlapping regions by an AFM. The essence of the image matching technique is stitching two neighboring images intentionally overlapped with each other. To enhance the computational efficiency, this paper introduces a pyramid matching algorithm which makes use of reduced images for primary images. The results show that the proposed image pyramid matching algorithm is useful fer enhancing the computational efficiency.

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$BaTiO_{3}$ 의 광굴절 현상을 이용한 실시간 광연상 메모리에 관한 연구 (A Study on the Real-time Optical Associative Memory Using Photorefractive Effects in $BaTiO_{3}$)

  • 임종태;오창석;김성일;박한규
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
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    • pp.410-413
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    • 1988
  • In this paper, the real-time optical associative memory using multiple hologram which is generated with two angular multiplexed reference beams and Fourier transformed object beam in the $BaTiO_{3}$ crystal based on DFWM mechanism. When one image is recorded in the $BaTiO_{3}$ crystal, complete image can be recalled by 9 % partial input of the stored original image without any additional thresholding and optical feedback process. As an experimental result of multiple Fourier hologram which is recorded with two binary images, OHCHAS and PARKHK, we can obtain complete image recalled by 1/6 partial input of the stored image.

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이미지 향상을 위해 공간영역에서 다중해상도를 이용한 개선된 히스토그램 특정화 방법 (An Improved Histogram Specification using Multiresolution in the Spatial Domain for Image Enhancement)

  • 허경무
    • 제어로봇시스템학회논문지
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    • 제20권6호
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    • pp.657-662
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    • 2014
  • Usually, spatial information can be incorporated into histograms by taking histograms of a multiresolution image. For these reasons, many researchers are interested in multiresolution histogram processing. If the relation and sensitivity of the multiresolution images are well combined without loss of information, we can obtain satisfactory results in several fields of image processing including histogram equalization, specification and pattern matching. In this paper, we propose a multiresolution histogram specification method that improves the accuracy of histogram specification. The multiresolution decomposition technique is used in order to overcome the unique feature of a histogram specification affected by a quantization error of a digitalized image. The histogram specification is processed after the reduction of image resolution in order to enhance the accuracy of the results by histogram specification methods. The experimental results show that the proposed method enhances the accuracy of specification compared to conventional methods.

효율적인 광학 영상 정합을 위한 에지 선택 알고리즘 (The Edge Selection Algorithm for Efficient Optical Image Matching)

  • 양한진;주영훈
    • 제어로봇시스템학회논문지
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    • 제16권3호
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    • pp.264-268
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    • 2010
  • The purpose of this paper is to propose new techniques to match measured optical images by using the edge abstraction method and differentiation method based on image processing technology. To do this, we detect the matching template and non-matching template from each optical image. And then, we detect the edge parts of the overlaped image from comer edge abstraction method and remove noise image. At last, these data are related to applied first-order derivative operator. Finally, we show the effectiveness and feasibility of the proposed method through some experiments.

발전용 미분탄 보일러의 연소 상태 감시를 위한 화염 영상 처리 시스템 (Flame Image Processing System for Combustion Condition Monitoring of Pulverized Coal Firing Boilers in Thermal Power Plant)

  • 백운보;신진호
    • 제어로봇시스템학회논문지
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    • 제12권11호
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    • pp.1119-1123
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    • 2006
  • The flame image processing and analysis system has been investigated for the optimal pulverized coal firing of thermal power plant, especially for lower nitrogen oxide generation and more safe operation. We aimed at gaining the relationship between burner flame image information and emissions of nitrogen oxide and unburned carbon in furnace utilizing the flame image processing methods, by which we quantitatively determine the condition of combustion on the individual humors. Its feasibility test was undertaken with a pilot furnace for coal firing, through which the system was observed to be effective for the monitoring of the combustion condition of pulverized coal firing boilers.

Sulfur Print를 이용한 슬라브 내부 크랙 및 중심편석 자동 인식 시스템 (Automatic Recognition System of Slab Inner Crack Center Segregation using Sulfur Print)

  • 김성용;임명란;안인석
    • 제어로봇시스템학회논문지
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    • 제15권9호
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    • pp.922-928
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    • 2009
  • This thesis puts forward a suggestion of measuring inner crack and center segregation in steel processing by using scanner and image processing with sulfur printer. To sum up, there are three points in this system. First, it scans sulfur printer and process the image by using histogram, image processing, and the mask. Second, it measures crack and center segregation by the fictitious image and output the length, thickness, exponent and grade on the mornitor. And finally, it gathers the measurement result image and data at the server and this information is used as data for the next casting.

Detection of the Damaged Trees by Pine Wilt Disease Using IKONOS Image

  • Lee, S.H.;Cho, H.K.;Kim, J.B.;Jo, M.H.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.709-711
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    • 2003
  • The purpose of this study is to detect the damaged red pine trees by pine wilt disease using high resolution satellite image of IKONOS Geo. IKONOS images are segmented with eCognition image processing software. A segment based maximum likelihood classification was performed to delineate the pine stand. The pine stands are regarded as a potential damage area. In order to develop a methodology to detect the location of damaged trees from the high resolution satellite image, black and white aerial photographs were used as a simulated image. The developed method based on filtering technique. A local maximum filter was adapted to detect the location of individual tree. This report presents a part of the first year results of an ongoing project.

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Assessment of Accuracy of IKONOS Image Map, Traditional Orthophoto Map and Conventional Line Map of Kathmandu Valley : A Pilot Study

  • Kayastha, D.M.;Chhatkuli, R.R.;Paudel, J.R.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.988-990
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    • 2003
  • IKONOS image mapping is being considered a possible replacement to the traditional mapping in many countries due to their ease of access to current data and their potential high resolution. Survey Department of His Majesty's Government completed traditional orthophoto mapping of all urban and semi-urban areas of the country. The 1:5000 monochrome orthophoto maps of Kathmandu Valley were completed in 2003. In 2002, as a test, production of a near natural colour Image Map at 1:5000 scale of a part of Kathmandu Valley based on IKONOS data was carried out. A conventional line map plotting of the same area at 1:5000 was also prepared. The objective of the pilot project was to assess the geometric accuracy and the information content of these maps. The details of the study and their results are underlined. The findings of the study helps to explain whether IKONOS image map can replace conventional orthophoto map at 1:5,000 for urban areas of Nepal like Kathmandu.

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절대평균임계값을 적용한 웨이블릿 패킷 기반의 영상 노이즈 제거 (Image Denosing Based on Wavelet Packet with Absolute Average Threshold)

  • 류광렬;로버트 스크라바시
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2007년도 춘계종합학술대회
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    • pp.605-608
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    • 2007
  • 본 논문은 절대평균 임계값을 웨이블릿 패킷에 적용하여 영상의 노이즈를 제거하기 위한 연구이다. 기존에 사용된 임계값은 표준편차 추정치를 사용하므로 노이즈 크기가 커지면 임계값이 증가하고 영상도 손상된다. 또한 노이즈 크기에 비례하여 임계값이 설정되므로 영상이 변해도 동일한 임계값이 적용되어 복원영상의 PSNR이 저하된다. 반면 절대평균의 임계값을 적용기법은 극단적인 영향을 피할 수 있고 분해된 영상의 통계량에 따라 임계값이 결정되므로 영상의 변화에 적응적이다. 실험 결과 표준편차 추정 임계값을 적용한 웨이블릿 변환기법과 비교하여 12%, 웨이블릿 패킷 기반 노이즈 제거기법과는 6% PSNR이 증가하였다.

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TELE-OPERATIVE SYSTEM FOR BIOPRODUCTION - REMOTE LOCAL IMAGE PROCESSING FOR OBJECT IDENTIFICATION -

  • Kim, S. C.;H. Hwang;J. E. Son;Park, D. Y.
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.II
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    • pp.300-306
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    • 2000
  • This paper introduces a new concept of automation for bio-production with tele-operative system. The proposed system showed practical and feasible way of automation for the volatile bio-production process. Based on the proposition, recognition of the job environment with object identification was performed using computer vision system. A man-machine interactive hybrid decision-making, which utilized a concept of tele-operation was proposed to overcome limitations of the capability of computer in image processing and feature extraction from the complex environment image. Identifying watermelons from the outdoor scene of the cultivation field was selected to realize the proposed concept. Identifying watermelon from the camera image of the outdoor cultivation field is very difficult because of the ambiguity among stems, leaves, shades, and especially fruits covered partly by leaves or stems. The analog signal of the outdoor image was captured and transmitted wireless to the host computer by R.F module. The localized window was formed from the outdoor image by pointing to the touch screen. And then a sequence of algorithms to identify the location and size of the watermelon was performed with the local window image. The effect of the light reflectance of fruits, stems, ground, and leaves were also investigated.

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