Well-Composedness and the Topological Repairing of 2-D and 3-D Digital Images

Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/470
In an earlier submission, we considered 2-D and 3-D digital binary images topologically characterized by their well-composedness. Well-composed images exhibit important topological and geometrical properties not shared by their ill-composed counterparts. These properties have important implications for various algorithms used by the ITK community such as thinning algorithms and Marching Cubes.

A natural follow-up inquiry to our original submission concerns the possible extension of the binary algorithm to accommodate images with multiple labels. In this paper, we describe such a generalization of our previous submission which also subsumes the binary approach. For completeness and clarity of exposition, we develop the idea of well-composedness within the binary image context and later generalize the discussion to include those images with multiple labels.
minus 2 Files (2Mb)
There is no code review at this time.

There is no review at this time. Be the first to review this publication!

Quick Comments

Download All

Statistics more
Global rating: starstarstarstarstar
Review rating: starstarstarstarstar [review]
Code rating:
Paper Quality: plus minus

Information more
Keywords: digital images, digital topology, well-composedness
Export citation:


Linked Publications more
An ITK-Based Framework for 2D-3D Registration with Multiple Fixed Images An ITK-Based Framework for 2D-3D Registration with Multiple Fixed Images
by Bertelsen A., Borro D.
Hough Transform Plane Detector Hough Transform Plane Detector
by Borrmann D., Doria D.

View license
Loading license...

Send a message to the author
Powered by Midas