Acta Photonica Sinica, Volume. 39, Issue 1, 184(2010)

Image Processing of Dimples Based on Image Adaptive Thresholding by Index of Fuzziness

LI Xin-cheng*, GUO Xin-xin, and ZHU Wei-xin
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    In order to minimize the impact of anthropogenic factor and to study the relationships between dimple diameter and common mechanical properties,computer image processing technology is introduced to measure and count the size and number of dimples in metallographic image formed by ductile fracture.The dimples are segmented very well by using an adaptive method for image thresholding based on index of fuzziness.An improved multiregional area algorithm based on Freeman chain is presented.It proves that this algorithm can detect and measure dimple diameter rapidly and accurately.It also provides quantitative results for further classify and analysis of dimples.

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    LI Xin-cheng, GUO Xin-xin, ZHU Wei-xin. Image Processing of Dimples Based on Image Adaptive Thresholding by Index of Fuzziness[J]. Acta Photonica Sinica, 2010, 39(1): 184

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    Paper Information

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    Received: Sep. 24, 2008

    Accepted: --

    Published Online: Mar. 11, 2010

    The Author Email: Xin-cheng LI (plnet1107@sina.com)

    DOI:10.3788/gzxb20103901.0184

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