Skeletonization algorithm running on path-based distance maps

A new skeletonization algorithm is introduced which runs on the distance map of a digital figure, computed according to any among four commonly used path-based distance functions. The skeletonization algorithm has a number of features: it is reversible, since it detects the centres of the maximal disks; it is nearly invariant under figure rotation (when the adopted distance function provides a reasonably good approximation to the Euclidean distance); it includes two steps (pruning and beautifying), which allow us to simplify skeleton structure according to the user's needs, as well as to improve skeleton aesthetics; and its computational load is limited, whatever the size of the figure to be skeletonized.

[1]  Gabriella Sanniti di Baja,et al.  A One-Pass Two-Operation Process to Detect the Skeletal Pixels on the 4-Distance Transform , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Gabriella Sanniti di Baja,et al.  Weighted Distance Transforms: A Characterization , 1988 .

[3]  Gunilla Borgefors,et al.  Distance transformations in digital images , 1986, Comput. Vis. Graph. Image Process..

[4]  Stefano Levialdi,et al.  Image Analysis and Processing , 1987 .

[5]  Edouard Thiel Les distances de chanfrein en analyse d'images : fondements et applications. (Chamfer distances in image analysis : basis and applications) , 1994 .

[6]  HARRY BLUM,et al.  Shape description using weighted symmetric axis features , 1978, Pattern Recognit..

[7]  Gabriella Sanniti di Baja Well-Shaped, Stable, and Reversible Skeletons from the (3, 4)-Distance Transform , 1994, J. Vis. Commun. Image Represent..

[8]  Gabriella Sanniti di Baja,et al.  (3, 4)-weighted Skeleton Decomposition for Pattern Representation and Description , 1994, Pattern Recognit..

[9]  Gabriella Sanniti di Baja,et al.  A Width-Independent Fast Thinning Algorithm , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Gabriella Sanniti di Baja,et al.  Geometric Properties of the Union of Maximal Neighborhoods , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  T. Fukumura,et al.  An Analysis of Topological Properties of Digitized Binary Pictures Using Local Features , 1975 .

[12]  Carlo Arcelli,et al.  Reversible skeletonization by (5,7,11)-erosion , 1992 .

[13]  A. ROSENFELD,et al.  Distance functions on digital pictures , 1968, Pattern Recognit..