Intelligent Recognition for Surface Roughness Based on Microscopic Image Texture Characters

摘要：

Aiming at problems that the traditional measurement of surface roughness is complex and the accuracy is lower caused by man-made, this paper researched an intelligent measurement method based on microscopic image texture characters. The original microscopic images are acquired on the microscope, after filtered and histogram equalized, six texture characters such as second-order distance, contrast, correlation, entropy, anti-difference distance are extracted from the gray images with theory of GLCM and these parameters are changed regular. At last, using pattern recognition theory of nerve network, we will get the surface roughness value of the workpiece. The results of experiments show that this method can identify the value of surface roughness, and it provides a new approach for the measurement of surface roughness.

关键词： surface roughness microscopic image GLCM

作者: Guan zhenzhen Ye minghui Yin xiaochun Luo xiaohe

作者单位: Ordnance Engineering College Shijiazhuang,China

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 190-193

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）