机械科学与技术2018，Vol.37Issue(2)：276-279,4.DOI:10.13433/j.cnki.1003-8728.2018.0218
高斯差分滤波显著性的刀具磨损检测
Tool Wear Detection using Gauss Filter Saliency
摘要
Abstract
In order to improve the accuracy of tool wear area detection,a new method for tool wear detection based on the characteristics of tool wear area is proposed.Firstly,the tool image is filtered by using Gauss filter to eliminate the noise information and gain a filter image.Then,the background texture information is extracted by using the difference of Gaussian filter to get a difference image.On the basis,the center-surround operation is used to obtain the saliency map between the filter image and the difference image,by which can eliminate high frequency noise and uneven illumination of low frequency background information,and improve saliency of the tool wear area.Finally,the tool wear region is segmented and filtered according to the characteristics of tool wear area.The experimental results show that the method can accurately detect the tool wear area and has higher detection accuracy.关键词
刀具磨损/高斯差分滤波/中央-周边操作/显著图Key words
tool wear/difference of Gaussian filter/center-surround operation/saliency map分类
机械制造引用本文复制引用
管声启,洪奔奔,梁洪,王立中..高斯差分滤波显著性的刀具磨损检测[J].机械科学与技术,2018,37(2):276-279,4.基金项目
中国纺织工业联合会科技指导性项目(2016065)与陕西省教育厅科研计划项目(16JK1337)资助 （2016065）
