Mold Cavity Surface Subdivision Method Based on Fuzzy Clustering for Edge Detection

摘要：

　　This paper presents a mold cavity surface subdivision method by using image boundary detection technology to realize high efficiency NC machining.From the new perspective of image processing,the method constructed an optimal cutting direction angle field image in the u-v system of parameters according to the relationship between maximum cutting bandwidth and cutting direction in the theory of iso-scallop height firstly,and then fuzzy c-means clustering method was applied for subdivision surface boundary detection.Experimental results demonstrate good performance of the proposed method in distinguishing and extracting boundary points of surface subdivision.

关键词： Surface subdivision Optimal direction angle field image Fuzzy clustering Boundary

作者: Zhixin Feng Yishu Zhai Dehua Miao

作者单位: College of Mechanical Engineering, TianJin University of Science and Technology, 300222, China College of Science, Tianjin University of Technology Education, Tianjin, 300222, China Tianjin Key Laboratory of High Speed Cutting and Precision Machining, Tianjin, 300222, China

会议类型: 国际会议

会议名称: the 2012 International Conference on Frontiers of Advanced Materials and Engineering Technology (2012年先进材料与工程技术国际会议(FAMET 2012))

会议地点: 厦门

会议语种:英文

页码: 808-811

在线出版日期: 2012-01-04（万方平台首次上网日期，不代表论文的发表时间）