摘要
为准确测量刚体切片厚度,提出基于工业CT图像的智能确定方法。用自适应加权均值滤波法对CT图像预处理,去除图像中的噪声;基于Facet模型的图像边缘提取法,提取预处理图像的待测壁边缘像素;用内、外边缘完成边缘跟踪,将内、外边界点信息存储在结构数组中,获取每个边界点至外缘边界点最短距离,将最短距离相加后除以内缘边界点数,得出刚体厚度像素,将厚度像素与像素当量相乘,得出刚体厚度。结果表明:该方法能有效测量刚体厚度,误差率低于0.39%,去噪效果好,测量结果不受切片长度影响。
In order to accurately measure the thickness of rigid slice,an intelligent determination method based on industrial C.T image was proposed.The adaptive weighted mean filter was used to preprocess the CT image to remove the noise in the image.The edge detection method based on Facet model was used to extract the edge pixels of the wall to be measured.The inner and outer edge tracking strategy was used to complete the cdge tracking,and the information of the inner and outer boundary points was stored in the structure array to obtain the shortest distance from each boundary point to the outer edge boundary point.The current thickness pixel of the rigid body was obtained by adding the shortest distance and dividing the inner boundary points,and the thickness of the rigid body was calculated by multiplying the thickness pixel with the pixel equivalent.The results show that the method can effectively measure the thickness of rigid body,the error rate is less than 0.39%,the denoising effect is good,and the measurement results are not affected by the change of slice length.
作者
徐雪慧
XU Xuehui(College of Electronic Information Engineering,Wuhan Polytechnic,Wuhan 430074,China;College of Physical Science and Technology,Central China Normal University,Wuhan 430079,China)
出处
《兵器材料科学与工程》
CAS
CSCD
北大核心
2020年第6期129-132,共4页
Ordnance Material Science and Engineering
