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A novel image segmentation method based on modified fuzzy c-means (FCM) is proposed in this paper. Using the neighborhood pixels selectively, a spatial constraint punishment term is added in the objective function of standard FCM to improve the robust to noise, raise the convergent rate and reduce computing time. Experiments on standard image segmentation prove the availability of the improvement.
This paper proposes a novel algorithm for simultaneous estimation of the bias field and segmentation of tissues for magnetic resonance images. The algorithm formulated by modifying the objective function in the fuzzy C-means algorithm to include a bias field which is modeled as a linear combination of a set of basis functions. Bias field estimation and image segmentation are simultaneously achieved...
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