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Connectivity Preservation of 3D 6-Subiteration Thinning Algorithms

✍ Scribed by C.Min Ma


Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
241 KB
Volume
58
Category
Article
ISSN
1077-3169

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✦ Synopsis


It seems straightforward that such tests can be computer-Thinning is a process which erodes an object layer by layer ized by checking the 2 8 test patterns (since each corner is until only a skeleton is left. A thinning algorithm should preeither an object point or a background point). Unfortuserve connectivity; i.e., any object and its skeleton should mainnately, this conclusion is incorrect. Consider a thinning tain the same connectivity structure. This paper concerns the algorithm with n different templates (every object point connectivity preservation of 3D 6-subiteration thinning algoin an image with a neighborhood that matches any template rithms. The first objective of this paper is to propose sufficient is deleted). To check whether Theorem 3.1.4 is satisfied, conditions so that any 3D 6-subiteration parallel thinning algoevery four templates should be merged (in particular ways);

rithm satisfying these conditions is guaranteed to preserve coni.e., the time complexity is O(n 4 ). The program is not feasinectivity. Even with these sufficient conditions, it is still not very ble when n is a large number. This paper emphasizes in easy to prove the connectivity soundness of a 3D 6-subiteration thinning algorithm. Thus, the second objective of this paper computerizing the sufficient conditions for 3D 6-subiterais to propose an approach to computerize the above suffition parallel thinning algorithms to preserve connectivity. cient conditions. Any 3D 6-subiteration thinning algorithm Our computerized tests reduce the associated time compassing the computerized tests is guaranteed to preserve plexity from O(n 4 ) to O(n). The sufficient conditions proconnectivity.


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Thinning on binary images is an iterative layer by layer erosion until only the "skeletons" of the objects are left. This paper presents an efficient parallel thinning algorithm which produces either curve skeletons or surface skeletons from 3D binary objects. It is important that a curve skeleton i

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Thinning algorithms on binary images are used to generate skeletons that preserve the same connectivity structures as the objects in the original images. Two kinds of skeletons may be appropriate for 3D thinning algorithms: digital curves and digital surfaces. We propose two thinning algorithms on 3