基于Canny检测的股骨边缘轮廓连接算法

基于图像信息和像素特点,提出了一种边缘轮廓信息的连接算法,由边缘检测、单一化处理、端点信息分类及模拟退火相串联构成。选取合适的Canny方差和成熟的标记算法为生成理想边缘信息,结合节点处的特征信息、检测和计算符合条件的终点位置,最终精确连接出边缘轮廓。利用MATLAB软件对提出的方法进行模拟,详细分析了连接算法的理论模型以及端点类型对于连接效果的影响。试验证明,基于模拟退火和端点类型的算法在选定合适Canny参数和经过单一化处理的情况下具有良好的连接效果,且安全可靠。

Connection algorithm of bone tissue based on canny edge detection

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.