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

Zhi Xin Feng; Yi Shu Zhai; De Hua Miao

doi:10.4028/www.scientific.net/AMR.430-432.808

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 430-432Mold Cavity Surface Subdivision Method Based on...

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

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 430-432)

Pages:

808-811

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.430-432.808

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Online since:

January 2012

Authors:

Zhi Xin Feng, Yi Shu Zhai, De Hua Miao

Keywords:

Boundary, Fuzzy Clustering, Optimal Direction Angle Field Image, Surface Subdivision

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