HIERARCHICAL CONNECTED SKELETONIZATION ALGORITHM BASED ON DISTANCE TRANSFORM

[in Chinese]; [in Chinese]; [in Chinese]

[1] Blum H. A Transformation for Extracting New Descriptors of Models for the Perception of Speech and Visual Form [M]. W. Walthen-Dunn, ed., US:MIT Press, Combridge, 1967.

[2] Blum H. Biological shape and visual science:Part I [J]. J. Theoretical Biology, 1973,38(2):205-287.

[3] Ma C M, Sonka M. A fully parallel 3D thinning algorithm and its applications [J]. Computer Vision and Image Understanding, 1996,64(3):420-433.

[4] Pudney C. Distance-ordered homotopic thinnimg:A skeletonization algorithm for 3D digital images [J]. Computer Vision and Image Understanding, 1998,72(3):404-413.

[6] Niblack C W, Gibbon P B, Capson D W. Generating skeletons and centerlines from the distance transform [J]. CVGIP:Graphical Models and Image Processing, 1992,54(5):420-437.

[7] Ge Y, Fitzpatrick J M. On the generation of skeletons from discrete euclidean distance maps [J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1996,18(11):1055-1066.

[8] Bitter I, Kaufman A E, Sato M. Penalized-distance volumetric skeleton algorithm [J]. IEEE Trans. on Visualization and Computer Graphics, 2001,7(3):195-206.

[9] Zhou Y, Toga A W. Efficient skeletonization of volumetric objects [J]. IEEE Trans. on Visualization and Computer Graphics, 1999,5(3):196-209.

[10] Svensson S, Borgefors G. Digital distance transform in 3D image using information from neighborhoods up to 5×5×5 [J]. Computer Vision and Image Understanding, 2002,88:24-53.

[11] Saito T, Toriwaki J. New Algorithm for euclidean distance transformation of an n-dimensional digitized picture with applications[J]. Pattern Recognition, 1994,27(11):1551-1565.