9 January 2008 A watershed algorithm for image segmentation with B-spline function
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Proceedings Volume 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials; 67941F (2008) https://doi.org/10.1117/12.784392
Event: ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 2007, Gifu, Japan
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.
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Chengbo Yu, Huafeng Qin, Hongyan Tao, "A watershed algorithm for image segmentation with B-spline function", Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 67941F (9 January 2008); doi: 10.1117/12.784392; https://doi.org/10.1117/12.784392
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