Abstract
A new multistage segmentation and smoothing method based on the active contour model and the level set numerical techniques is presented in this paper. Instead of simultaneous segmentation and smoothing as in [10], [11], the proposed method separates the segmentation and smoothing processes. We use the piecewise constant approximation for segmentation and the diffusion equation for denoising, therefore the new method speeds up the segmentation process significantly, and it can remove noise and protect edges for images with very large amount of noise. The effects of the model parameter ( are also systematically studied in this paper.
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© 2004 Springer-Verlag Berlin Heidelberg
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Gao, S., Bui, T.D. (2004). A Multistage Image Segmentation and Denoising Method – Based on the Mumford and Shah Variational Approach. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30125-7_11
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DOI: https://doi.org/10.1007/978-3-540-30125-7_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23223-0
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