DocumentCode :
854924
Title :
A generalized discrete morphological skeleton transform with multiple structuring elements for the extraction of structural shape components
Author :
Xu, Jianning
Author_Institution :
Comput. Sci. Dept., Rowan Univ., Glassboro, NJ, USA
Volume :
12
Issue :
12
fYear :
2003
Firstpage :
1677
Lastpage :
1686
Abstract :
A common problem shared by several leading morphological shape representation algorithms is that there is much overlapping among the representative disks of the same size. A shape component represented by a group of connected disk centers sometimes uses many heavily overlapping representative disks to represent a relatively simple shape part. A shape component may also contain a large number of representative disks that form a complicated structure. We introduce a generalized discrete morphological skeleton transform that uses eight structuring elements to generate skeleton subsets so that no two skeletal points from the same skeleton subset are adjacent to each other. Each skeletal point represents a shape part that is in general an octagon with four pairs of parallel opposing sides. The number of representative points needed to represent a given shape is significantly lower than that in the standard skeleton transform. A collection of shape components needed to build a structural representation is easily derived from the generalized skeleton transform. Each shape component covers a significant area of the given shape and severe overlapping is avoided. The given shape can also be accurately approximated using a small number of shape components.
Keywords :
feature extraction; image processing; image reconstruction; image representation; mathematical morphology; transforms; algebraic approach; generalized discrete morphological skeleton transform; generalized skeleton transform; image reconstructions; image representations; mathematical morphology; morphological shape representation algorithms; multiple structuring elements; octagon; representative disks; skeletal point; structural approach; structural representation; structural shape component extraction; Computer vision; Discrete transforms; Image coding; Image processing; Image reconstruction; Morphological operations; Morphology; Object recognition; Skeleton; Structural shapes;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2003.819225
Filename :
1257403
Link To Document :
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