Active contours driven by adaptive functions and fuzzy c-means energy for fast image segmentation
Signal Processing（2019）
Abstract
•Several novel functions are presented in the proposed model.•A fast and accurate image segmentation is achieved.•The model can segment images with large noise interference inside target.•Targets in multi-objective images can be selectively segmented.•The proposed model shows a good robustness to initialization.
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Key words
Active contour model,Level set method,Distance regularized term,Image segmentation,Adaptive functions,Fuzzy c-means energy
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