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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/927341
- Shape analysis and recognition based on skeleton and morphological structure
Jin, Jesse S.;
Pham, Tuan D.
- The University of Newcastle. Faculty of Science & Information Technology, School of Design Communication and Information Technology
- 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.
- 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
- Institute of Electrical and Electronics Engineers (IEEE)
shape analysis and recognition;
- Resource Type
- conference paper
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