Abstract
In view of the advantages and shortcomings of the watershed algorithm in the image segmentation, this paper has given an improved vicent watershed algorithm, and used the dynamic particle clustering with connectivity constraints to combine regions after initial segmentation. It effectively solves the over-segmentation problem arising from the watershed algorithm.
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References
Yu-Jin, Z.: Image processing and analysis of Image projects, vol. 5. Tsinghua University Press, Beijing (2001)
Wen-ming, Y., et al.: A kind of image segmentation program based on watershed transformation. Journal of Zhejiang University 40(9), 1503–1506 (2006)
Castleman, K.R.: Digital image processing. Prentice-Hall, New Jersey (1996)
Boykov, Y., Funka-lea, G.: Graph cuts and efficient N-D image segmentation. International Journal of Computer Vision 70(2), 109–131 (2006)
Peng-wei, W., et al.: Watershed segmentation based on multiscale morphological fusion. Journal of Data Acquisition and Processing 21(4), 398–402 (2006)
Runqiu, W., et al.: Application of multi-scaled morphology in denosing seismic data. Applied Geophyiscs 9(5,3), 197–203 (2008)
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Wang, Y., Ge, F. (2010). Combined with Improved Vicent Watershed and Dynamic Particle Clustering with Connected Constraints for Image Segmentation. In: Cai, Z., Tong, H., Kang, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2010. Communications in Computer and Information Science, vol 107. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16388-3_27
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DOI: https://doi.org/10.1007/978-3-642-16388-3_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16387-6
Online ISBN: 978-3-642-16388-3
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