标题：
A Hybrid Method for the Segmentation of a Ferrograph Image Using Marker-Controlled Watershed and Grey Clustering
点击次数：
所属单位：
机电学院
发表刊物：
TRIBOLOGY & LUBRICATION TECHNOLOGY
关键字：
Wear particle analysis ferrography wear particle segmentation markercontrolled watershed grey clustering
摘要：
Aimed at the correct segmentation of wear particles in ferrograph images, a new method combining marker-controlled watershed and an improved grey clustering algorithm is proposed in this article. First, the marker-controlled watershed is applied to ferrograph images to efficiently obtain the initial segmentation of wear particles. Then, an improved grey clustering algorithm utilizing color characteristics and relative position information is applied to merge the oversegmented regions after the watershed segmentation. This new algorithm is tested for ferrograph images and the results are compared with those of other algorithms. The experimental results show that the proposed method is effective for the segmentation of large wear particles and fine wear debris deposited as chains on the ferrograph, and it is proven to be a practical method for segmenting wear particles quickly and accurately.
ISSN号：
1545-858X
是否译文：
否
发表时间：
2017-09-01
合写作者：
Yao, Panpan,Liu, Wanlong,王晓雷
通讯作者：
王静秋
发表时间：
2017-09-01
学位：工学博士学位
职称：教授
所在单位：机电学院