The segmentation of 3D images has important applications in the non-destructive examination of industrial computed tomography (CT) and has been widely studied. When a C-V model is used to segment the image, closed and accurate object contours can be obtained. The C-V model is suitable for image segmentation and extended easily to a 3D application. However, industrial CT images may have artifacts or noise, which may make active contours stop at undesired boundaries. In order to overcome these difficulties, the 3D C-V model is improved by the robust statistics method. In this improved model, the...
