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作 者:杨海[1,2,3] 盛晨兴 YANG Hai;SHENG Chenxing(School of Naval Architecture,Ocean and Energy Power Engineering,Wuhan University of Technology,Wuhan Hubei 430063,China;State Key Laboratory of Waterway Traffic Control and Safety(Wuhan University of Technology),Wuhan Hubei 430063,China;National Research Engineering Center for Water Transport Safety,Wuhan Hubei 430063,China)
机构地区:[1]武汉理工大学船海与能源动力学院,湖北武汉430063 [2]水路交通控制全国重点实验室(武汉理工大学),湖北武汉430063 [3]国家水运安全工程技术研究中心,湖北武汉430063
出 处:《润滑与密封》2024年第3期183-188,共6页Lubrication Engineering
基 金:中远海运集团科研项目(20213h0182)。
摘 要:为了对铁谱图像中的磨粒链进行有效分割,提高磨粒特征提取的精度,通过分析铁谱磨粒链图像不同区域的特点,提出一种融合铁谱图像颜色、形状特征信息的磨粒链分割方法。该方法首先基于形态学运算对磨粒链分割方法,对异常大磨粒进行提取并断开磨粒链黏连部分,然后利用标记分水岭与灰色聚类的方法对磨粒链进行分割,最后考虑到不同磨粒链颜色信息存在差异,结合自适应阈值法对灰色聚类进行改进,从而实现磨粒链的自适应分割。结果表明,相较于传统分割方法,提出的方法能有效避免过分割与欠分割,分割效果较好,适用性高,操作简单。In order to segment the wear particle chain in the ferrography image effectively and improve the accuracy of wear particle feature extraction,a wear particle chain segmentation method combining the color and shape features of the ferrography image was proposed by analyzing the characteristics of different regions of the ferrography wear particle chain image.Firstly,the image of abrasive chain was pre segmented based on morphological operation,and the abnormal large abrasive was extracted and the adhesion part of abrasive chain was disconnected.Then,the wear particle chain was segmented by the method of marked watershed and gray clustering.Finally,considering the difference of color information of different abrasive chains,the gray clustering was improved by combining the adaptive threshold method to realize the adaptive segmentation of abrasive chains.The results show that,compared with traditional segmentation methods,the proposed method can effectively avoid over segmentation and under segmentation,which has better segmentation effect,high applicability,and the operation is simple.
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