- Title
- Shape analysis and recognition based on skeleton and morphological structure
- Creator
- Yu, Donggang; Jin, Jesse S.; Luo, Suhuai; Lai, Wei; Park, Mira; Pham, Tuan D.
- Relation
- 7th International Conference on Computer Graphics, Imaging and Visualization (CGIV 2010). Proceedings: 2010 Seventh International Conference on Computer Graphics, Imaging and Visualization (Sydney 7-10 August, 2010) p. 118-123
- Publisher Link
- http://dx.doi.org/10.1109/CGIV.2010.26
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2010
- Description
- This paper presents a novel and effective method of shape analysis and recognition based on skeleton and morphological structure. A series of preprocessing algorithms, smooth following and liberalization are introduced, and series of morphological structural points of image contour are extracted and merged. A series of basic shapes and a main shape of object image are described and segmented based on skeleton and morphological structure. Object shape is efficiently analyzed and recognized based on the extracted series of basic shapes and main shape. Comparing with other methods, the proposed method need not sample training set. Also, the new method can be used to analyze and recognize the shape structure of any shape, and there is no any requirement for the processed image data set. The new method can be used in image analysis, intelligent recognition, techniques, applications, systems and tools.
- Subject
- basic shape; main shape; morphological structure; shape analysis and recognition; skeletons
- Identifier
- http://hdl.handle.net/1959.13/927341
- Identifier
- uon:10116
- Identifier
- ISBN:9780769541662
- Rights
- Copyright © 2010 IEEE. Reprinted from Proceedings: 2010 Seventh International Conference on Computer Graphics, Imaging and Visualization. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- Language
- eng
- Full Text
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