【摘要】 基于轮廓序列的三维重建需要解决不同层面的匹配与聚集问题,传统算法在复杂流型转换中匹配准确率较低。针对传统匹配算法匹配准确率较低等问题,采用对折线求平均距离、构造模糊集的方法,给出了一种模糊聚类的数学模型,将传统的匹配问题转化为类成员的隶属度问题,最后把该模型应用到电容层析成像三维可视化系统中,并通过仿真实验验证了方法的有效性。更多还原

【Abstract】 In 3D reconstruction of contour sequence,the matching and clustering in different layers should be firstly resolved.However,in processing the complicated flow pattern transfer,the accuracy rate of traditional algorithm was considered very low.Based on the above-mentioned problems,a mathematic model of fuzzy clustering by computing the average distance between two poly lines and constructing fuzzy sets was established.The problem of matching was transformed into the grade of membership of elements by this mathematical model.Finally,this model was applied to the system of ECT 3D visualization,and the validity and reliability were tested.更多还原