摘要
图像分割是工业CT三维重构的重要步骤之一,目前还没有一种有效分割各类图像的通用算法。针对同心圆层状结构工业CT图像的特点,提出一种剥皮图像分割算法。该算法首先检测图像的边缘,利用边界跟踪方法求出层边界,再对层边界图像进行剥皮处理,然后用所得到的模型去对原始图像掩模,最后得到的图像即为最终分割图像。该方法对层状结构的工业CT图像具有较好的分割效果。
Image segmentation is one of the key steps in the 3D reconstruction for industrial computed tomography (ICT). There are lots of algorithms for segmenting images, but no universal method exists. A peeling method is presented aiming at the characteristic of ICT images. The algorithm detects the edge of the ICT image and traces the contour to get the boundaries of layers, then peels the boundaries of layers, and then masks the original image by the peeled model. The final image is the segmented one. The algorithm can give satisfactory result for the ICT images of layered structures.
出处
《无损检测》
北大核心
2005年第5期235-237,共3页
Nondestructive Testing
关键词
工业CT
图像分割
剥皮算法
层状结构
Industrial computed tomography
Image segmentation
Peeling algorithm
Layered structure
