Edge surface model selecting extraction algorithm within 3D images
Wang Li‐sheng · Jisuanji gongcheng yu sheji · 2007
A novel edge surface model selecting extraction algorithm within 3D images has been implemented,which can acquire user-interesting ROI 3D edge surface models.Firstly,the aimed edge surface model has been selected in 2D slices region,the method detects edge cubes by 3D edge detection operator based on Laplacian operator in the selected region.After eliminating noise,some edge cubes are converted into seed cubes.According to connectivity of the cube,the method carries out region growing in all 3D cubes guided by the acquired see cubes.Then the technique can generate selected edge surface model.The algorithm offers high accuracy(sub-voxel) 3D images and significant advantages of time and space complexity for segmentation and classification.