• Title/Summary/Keyword: Binary images

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Constant Time RMESH Algorithm to Find Neighbor Blocks in Linear Quadtrees (선형 사진트리에서 이웃 블록을 찾기 위한 상수시간 RMESH 알고리즘)

  • Kim, Gi-Won;U, Jin-Un
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.1
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    • pp.66-74
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    • 1999
  • A linear quadtree representation as a way to store a quadtree is efficient to save space compared with other representations. It , therefore, has been widely studied to develop efficient algorithms to execute operations related with quadtrees. In this paper, we present algorithm to find neighbor blocks of binary images represented by linear quadtrees, using three-dimensional n${\times}$n${\times}$n processors on RMESH(Reconfigurable MESH). Pur algorithm have O(1) time complexity.

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Wear properties of Al-Pb alloys produced by a forced stirring method (강제교반법으로 제조된 Al-Pb계 베어링 합금의 마모특성)

  • 임화영;허무영;임대순
    • Tribology and Lubricants
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    • v.8 no.1
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    • pp.70-77
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    • 1992
  • Al-Pb-Si bearing alloys were produced by a forced stirring method and a rapid solidification process to study wear properties of bearing alloys. A homogeneous distribution of Pb particles in Al matrix could be obtained by means of the forced stirring and the rapid cooling during the casting. The wear properties of bearing alloys were tested by a pin-on-disc wear tester. The change in microstructure according to the alloy manufacturing variables was observed by the backscattered electron images. Al-Pb and Al-Si binary alloys showed a transition from mild to severe wear. The transition was not found in Al-Pb-Si ternary alloys. It could be concluded that the lubricatioin effect of Pb and the strengthening effect of Si in the ternary alloys enhanced the bearing properties. A Al-25%Pb-13%Si alloy showed the lowest coefficient of friction in this experiment. It indicated that the optimum concentration of alloy was 25% Pb and 13% Si when the forced stirring of melt and water-cooled-copper-mold solidification were adopted.

Development of Digital Holographic Microscopy System for Measurements of Particle Velocities in MR Fluids (MR 유체 입자 속도 계측을 위한 디지털 홀로그래피 현미경 시스템의 개발)

  • Chen, He-Peng;Kang, B.S.
    • Journal of ILASS-Korea
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    • v.21 no.2
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    • pp.88-94
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    • 2016
  • In this study digital holographic microscopy system for measurements of 3-D velocities of particles in MR fluid is developed. Holograms are recorded using either a CCD camera with a double pulse laser or a high-speed camera with a continuous laser. To process recorded holograms, the correlation coefficient method is used for focal plane determination of particles. To remove noise and improve the quality of holograms and reconstructed images, a Wiener filter is adopted. The two-threshold and image segmentation methods are used for binary image transformation. For particle pairing, the match probability method is adopted. The developed system will be applied to measurements of the characteristics of unsteady 3-D particle velocities in MR fluids through the next stage of this study.

Development of Digital Particle Holographic System for Measurements of the Characteristics of Spray Droplets (분무 액적 특성 계측을 위한 디지털 입자 홀로그래피 시스템의 개발)

  • Yan, Yang;Kang, Bo-Seon
    • Journal of ILASS-Korea
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    • v.15 no.2
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    • pp.53-60
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    • 2010
  • This study presents development of digital particle holographic system and its application to spray field to measure three-dimensional velocities and sizes of spray droplets. A double exposure hologram recording system with synchronization system for time control was established and digital holograms can be recorded in a short time interval. To process recorded holograms, the correlation coefficient method was used for focal plane determination of particles. To remove noises and improve the quality of holograms and reconstructed images, the Wiener filter was adopted. The two-threshold and image segmentation methods were used in binary image transformation. For particle pairing, the match probability method was adopted. The developed system was applied to spray field and three-dimensional velocities and sizes of spray droplets were measured. The measurement results of digital holographic system were compared with those made by laser instruments, PDPA(Phase Doppler Particle Analyzer), which proved the feasibility of in-line digital particle holographic system as a good measurement tool for spray droplets.

The Recognition of Korean Characters by a Neural Network (신경회로망을 이용한 한글 문자의 인식)

  • Kim, Sang-Woo;Jeon, Yun-Ho;Choi, Chong-Ho
    • Proceedings of the KIEE Conference
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    • 1989.07a
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    • pp.166-169
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    • 1989
  • A study for the recognition of the Korean characters by a neural network is presented. To reduce the dimension of the input image data, DC components are extracted from each input image and used as input to the neural net. A multi-layer perceptron with one hidden layer was trained with back-error propagation training algorithm. Its performance is tested for 24 ${\times}$ 24 binary images of Korean characters and the results of several experiments are presented.

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Character Segmentation in a License Plate Using Histogram Specification based on Anisotropic Soothing Filter (Anisotropic Smoothing Filter 기반 Histogram Specification을 이용한 번호판 문자분할 기법)

  • Jung, Sung-Cheol;Han, Young-Joon;Hahn, Hern-Soo
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.835-836
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    • 2008
  • This paper presents a new method of segmenting characters in a car licence plate which is less influenced by illumination variation. It uses an anisotropic filter to reduce the lighting noise and a histogram specification scheme to obtain the binary image. Anisotropic smoothing filter process the input images, which are acquired under different lighting conditions, so that they may have similar image quality. The enhanced performance of the proposed algorithm has been proved by the experiment.

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Real-Time Measurement of Fry in the Cultivation Field Using a Line-Image Sensora

  • Ishimatsu, T.;Kawasue, K.;Kumon, T.;Ochiai, T.
    • 제어로봇시스템학회:학술대회논문집
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    • 1988.10b
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    • pp.822-825
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    • 1988
  • In this paper, we present a system which enables a real-time measurement of the number and also the body length of the fry (baby fish) using a line image sensor. Here, we consider a situation that fry are transported from a pond to another, pond through a pipe. At one position of the pipe a transparent rectanglar channel is mounted. The images of the fry, which run through this rectanglar channel, are detected by a line image sensor. The image signals are digitized to binary ones and the contour of the fry are detected. After that, a real-time image analysis is executed with a digital signal processor. Labeling program analyses the connection of every pixel. The results are transfered to a personal computer and displayed on the online monitor graphically.

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Smoke Image Recognition Method Based on the optimization of SVM parameters with Improved Fruit Fly Algorithm

  • Liu, Jingwen;Tan, Junshan;Qin, Jiaohua;Xiang, Xuyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.8
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    • pp.3534-3549
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    • 2020
  • The traditional method of smoke image recognition has low accuracy. For this reason, we proposed an algorithm based on the good group of IMFOA which is GMFOA to optimize the parameters of SVM. Firstly, we divide the motion region by combining the three-frame difference algorithm and the ViBe algorithm. Then, we divide it into several parts and extract the histogram of oriented gradient and volume local binary patterns of each part. Finally, we use the GMFOA to optimize the parameters of SVM and multiple kernel learning algorithms to Classify smoke images. The experimental results show that the classification ability of our method is better than other methods, and it can better adapt to the complex environmental conditions.

Semi-Automatic Feature Extraction Technology From Binary Images (이진영상에서 반자동 선형물 추출 기술)

  • 박승란;김태정;정수;김경옥
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2003.04a
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    • pp.544-549
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    • 2003
  • 본 논문에서는 Head-up Digitizing / Vectorizing 기술에 주로 사용되는 이진 영상으로부터 사용자의 초기 입력 좌표를 기준점으로 채택한 후 기준점을 중심으로 선형 및 벡터 형상을 추출하는 반자동 선형 추출 기술 개발에 관해 기술한다. 본 기술의 동작 과정을 살펴보면 다음과 같다. 사용자는 이진 영상에서 추출하고자 하는 선형 및 벡터 형상내의 한 좌표를 선택한다. 선택된 좌표는 기준점으로 채택되며, 이 기준점을 중심으로 네 방향으로 영암 값이 0인 픽셀들의 길이 및 orientation이 계산된다. 계산된 orientation을 바탕으로 폭 넓이가 계산되고 초기 좌표가 보정된 후 폭 넓이가 임계값을 만족시키면 동일한 선형물로 간주하여 추출 연산을 반복 수행하고, 폭넓이가 임계값을 벗어나면 새로운 선형물로 간주하고 추출을 중단한다 즉, 채택된 기준값을 중심으로 동일한 명암값의 검색을 진행하여 기준값과 유사한 방향성 및 폭 넓이 정보를 갖는 성분들의 중심 좌표를 선형물 추출 결과값으로 산출하는 기술이다. 본 기술을 통해 수작업으로 진행되던 지도 제작 및 Head-up Digitizing / Vectorizing 기술이 컴퓨터를 이용한 반자동기술로 대체될 수 있으며, 이를 통해 많은 인원과 시간을 소모하여야 했던 좌표 지도제작을 위성 영상을 이용하여 보다 쉽고 저렴한 가격으로 수행할 수 있는 방안을 제시할 수 있다.

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Automated measurement of tool wear using an image processing system

  • Sawai, Nobushige;Song, Joonyeob;Park, Hwayoung
    • 제어로봇시스템학회:학술대회논문집
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    • 1995.10a
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    • pp.311-314
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    • 1995
  • This paper presents a method for measuring tool wear parameters based on two dimensional image information. The tool wear images were obtained from an ITV camera with magnifying and lighting devices, and were analyzed using image processing techniques such as thresholding, noise filtering and boundary tracing. Thresholding was used to transform the captured gray scale image into a binary image for rapid sequential image processing. The threshold level was determined using a novel technique in which the brightness histograms of two concentric windows containing the tool wear image were compared. The use of noise filtering and boundary tracing to reduce the measuring errors was explored. Performance tests of the measurement precision and processing speed revealed that the direct method was highly effective in intermittent tool wear monitoring.

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