A Method for Measuring Particle Size in Overlapped Particle Images

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著者

    • IGUCHI Manabu
    • Division of Materials Science and Engineering, Graduate School of Engineering, Hokkaido University
    • SHEN Liping
    • Department of Mechanical Engineering, Fukui University
    • RUAN Xiaodong
    • State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University
    • ISHII Kuniyoshi
    • Division of Materials Science and Engineering, Graduate School of Engineering, Hokkaido University

抄録

This paper describes a new method to measure the sizes of particles and their probability distribution function by image processing. In the present research, an image with heavily overlapped particles was processed. The edges of the particles in the image are detected by Canny's method, and the contours are linked from the pixels in the edges by using chain-coding. The contours are subsequently segmented according to the curvature. Constant curvature segments are clustered according to some relations among contour segments which are likely to represent the same circle. The Least Squares Method which provides an accurate parameter estimation is performed to find out the parameters of a circle. The present method can recover most of particles even in a heavily overlapped particle image. It provides a useful way of investigating the structure of material or counting particles in many fields of engineering. Another advantage of the present method is its short computational time. All the computations in this paper were carried out on a personal computer, and the computational time of processing one image was between 4–10 sec on the personal computer (Pentium II, 300 MHz), which depended on the number of particles in the image. It is clear that the present research can be extended to the real-time processing of particle-detecting and particle-measuring in the future.

収録刊行物

  • ISIJ international

    ISIJ international 38(9), 971-976, 1998-09-15

    The Iron and Steel Institute of Japan

参考文献:  11件中 1-11件 を表示

  • <no title>

    DUDA R.

    ACM 15, 204, 1972

    被引用文献1件

  • <no title>

    SAKAUE K.

    Jouhou Syori Gakkai Ronbunsyuu 24(5), 561, 1983

    被引用文献1件

  • <no title>

    KISE H.

    Shisutemu Seigyo Jouhou Gakkai Ronbunshi 2(2), 363, 1989

    被引用文献1件

  • <no title>

    PLA F.

    Computer Vision Image Understanding 63(2), 334, 1996

    被引用文献1件

  • <no title>

    CHEN J.

    Image Vision Computing 14, 71, 1996

    被引用文献1件

  • <no title>

    THOMAS S.

    Graphics Image Processing 45, 362, 1989

    被引用文献1件

  • <no title>

    LIM K.

    Pattern Recognition Lett. 16, 627, 1995

    被引用文献1件

  • <no title>

    CANNY J.

    Trans. Pattern Anal. Machine Intelligence PAMI-8(6), 679, 1986

    被引用文献1件

  • <no title>

    MIYASHITA Y.

    Proc. of Jpn. Soc. Powder Engineering 58, 1996

    被引用文献1件

  • <no title>

    MORI H.

    Hunsai 40, 4, 1996

    被引用文献1件

  • <no title>

    CASTELOW D.

    Image Vision Computing 6(2), 129, 1988

    DOI 被引用文献1件

被引用文献:  4件中 1-4件 を表示

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