固体发动机体空间边缘检测单体素化方法

摘要

三维体空间中，经边缘检测得到的缺陷边缘通常大于1个体素，不能准确描述边缘的位置，导致无法实现体空间中缺陷最大直径、截面周长、表面积、体积等特征参数的精确测量。为此，通过比较分析固体发动机二维空间边缘检测单像素化方法，以适用的单像素化方法为基础，向三维空间拓展，提出一种基于Deutsch算法的固体发动机三维边缘检测单体素化方法。经实验验证，该方法单体素化结果准确，满足体空间缺陷特征参数精确测量的需求。%The defect edge obtained by the edge detection is usually greater than a voxel in the three-dimensional volume space,which cannot describe the position of the edge accurately.Therefore,it's difficult to accurately measure characteristic parame-ters such as maximum diameter,section perimeter,surface area and volume and so on.To this end,the single-pixel method of the two-dimensional edge detection in the solid motor was compared and expanded it towards three-dimensional space based on applica-ble single-pixel method.The single voxel method based on Deutsch algorithm was put forward to achieve the three-dimensional edge detection in the solid motor.The experiments prove that results of the single voxel method are accurate and meet the demand of accu-rate measurement of volume space defect characteristic parameters.