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Proceedings Paper

A watershed algorithm for image segmentation with B-spline function
Author(s): Chengbo Yu; Huafeng Qin; Hongyan Tao
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Paper Abstract

With regard to the over-segmentation of traditional watershed algorithm and the problems of sensitivity to noise, a new algorithm that can effectively restrain noise, eliminate image edges and detect the image edges exactly was presented. Firstly, morphological gradient image edge was enhanced by high frequency emphasize filter effectively. Then, the enhancement image is fit by B spline function many times. Finally, the watershed segmentation is used for the curved face. Experimental results demonstrate that watershed segmentation with the proposed algorithm resolves the phenomena of over-segmentation well. The scheme can detect the image edges exactly and improve segmentation precision.

Paper Details

Date Published: 9 January 2008
PDF: 5 pages
Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 67941F (9 January 2008); doi: 10.1117/12.784392
Show Author Affiliations
Chengbo Yu, Chongqing Institute of Technology (China)
Huafeng Qin, Chongqing Institute of Technology (China)
Hongyan Tao, Chongqing Institute of Technology (China)

Published in SPIE Proceedings Vol. 6794:
ICMIT 2007: Mechatronics, MEMS, and Smart Materials
Minoru Sasaki; Gisang Choi Sang; Zushu Li; Ryojun Ikeura; Hyungki Kim; Fangzheng Xue, Editor(s)

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