Active contours driven by Gaussian function and adaptive-scale local correntropy-based K-means clustering for fast image segmentation

Signal Processing(2020)

Cited 17|Views9
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Abstract
•Several novel functions were introduced in the proposed method.•A simple and efficient method was used for minimizing the energy function.•The model can segment images with severe intensity inhomogeneity and complex noise.•The model is robust to initialization.
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Key words
Image segmentation,Active contour models,Gaussian function,Adaptive scale operator,Iterative convolution-thresholding method
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