A Curvature Filter and Normal Clustering Based Approach to Detecting Cylinder on 3D Medical Model

In this paper, we propose a cylinder detection approach based on curvature filtering and normal clustering. We first estimate the curvature of the vertexes on each triangle, reserve these triangles which have the characteristics of a cylinder, then the triangles are clustered by the normal. Then all the triangles are transformed onto a new coordinate system, which the Z axis is parallel to the normal. Finally, the cylinders are detected by the Hough transformation in the 2D plane. The experimental results show that our proposed algorithm has good performance.