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一种彩色铁谱图像自动分割方法
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国家科技支撑计划项目(2015BAA06B02)


An Automatic Segmentation Method of Color Ferrographic Images
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    摘要:

    铁谱图像有效分割是实现铁谱图像自动化分析的基础,但彩色磨粒图像背景颜色相对单一,磨粒区域同时包含亮区域和暗区域且与背景色差较大,且部分磨粒存在黏连的情况,因此铁谱图像的有效分割难以实现。根据彩色铁谱图像特点,提出基于两次Kmeans颜色聚类分离磨粒区域与背景区域后,再对磨粒区域采用改进的分水岭算法分割黏连磨粒的图像分割方法。该方法解决了铁谱图像中亮暗磨粒同时存在的情况下磨粒提取不完全的问题,并实现了黏连磨粒的分割。实验结果验证了该方法的有效性。

    Abstract:

    Ferrographic image segmentation is the premise of realizing ferrographic image automatic analysis.But ferrographic image contains both dark and bright wear particles,the background contains only a flat color and is different from the foreground colors,and adhering condition is existed among parts of the wear particles,so the effective segmentation of the ferrographic image is very difficult.According to the characteristics of ferrographic image,a method of ferrographic image segmentation was proposed,in which twice Kmeans clustering was used to extract particle area from ferrographic image,then improved watershed algorithm was used to segment the adhering wear particles from foreground area.The method solves the problem of wear particles’ incomplete extraction on the condition that light and dark particles are coexisting,and achieves the effective segmentation of adhering wear particles.Experimental results validate the feasibility of this method.

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濮亚男,陈闽杰.一种彩色铁谱图像自动分割方法[J].润滑与密封,2017,42(5):117-122.
. An Automatic Segmentation Method of Color Ferrographic Images[J]. Lubrication Engineering,2017,42(5):117-122.

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  • 在线发布日期: 2018-02-09
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