### Connection algorithm of bone tissue based on canny edge detection

ZUO Junyan, ZHANG Jianguo, ZHONG Tao

1. College of Mechanical Engineering, Shanghai Institute of Technology, Shanghai 201418, China
• Received:2014-09-28 Revised:2015-03-16 Published:2014-09-28

Abstract: A new edge joint algorithm was investigated based on the image information and characteristic of the pixel, and the connection sequence was formed by edge detection, simplified handling, classification of endpoint information and simulated annealing. The ideal connection of edge contour was accurately generated by combining the feature information of nodes, detecting and computing the end position, selecting an appropriate variance of canny and using a mature labeling algorithm. The simulation of connection process was carried out satisfactorily by means of a package of commercial software MATLAB. The factors affecting the jointing including the theoretical model of joint algorithm and type of endpoint were analyzed. The results showed that the edge could be efficiently connected by joint algorithm which based on simulated annealing and type of endpoints, and the algorithm has good connecting effect in selecting appropriate canny parameters and simplified production process.

CLC Number:

• TQ028
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