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所属单位：电子信息工程学院

发表刊物：ACM Int. Conf. Proc. Ser.

摘要：In this paper, a grain boundary reconstruction method of metallographical image based on active contour model and mathematical morphology is proposed. Firstly, L1norm is introduced into CV model, which combined with local binary fitting. The normalized proportionality coefficients of global variance and local variance are used to regulate the evolution of contour curve and the curve is driven to close to the real grain boundary, the effects of precipitated phase in grain boundary on grain boundary reconstruction are reduced. Then the close operation is applied to the image and the grain boundary in the image is thinned by the Rosenfeld algorithm. As a result the grain boundary with multi-pixel width turns into the closed grain boundary with single-pixel width. Finally, the redundant branches of grain boundary are cut off by matching the given templates. The experimental results show that, compared with the existing grain boundary reconstruction methods, the reconstructed grain boundary by the proposed method is more complete and clear with a better visual effect, which is more competitive. © 2018 Association for Computing Machinery.

是否译文：否

发表时间：2018-03-16

合写作者：庚嵩,田华臣

通讯作者：吴一全