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Abstract
We propose a new method to estimate image bias field by an intuitive assumption that the overall trend of image surface is associated with bias field and the true bias field can evolve from image surface. To constrain the evolution, an energy function is designed based on two diffusion constraints. One is that the bias-free image has concise representation with image gradients. The other constraint is that model fit on the bias field which is more relaxed than previous methods. The new algorithm enables adaptive specifications of the estimated bias field's smoothness. The experimental results show our new technique can be applied to intensity inhomogeneity correction of medical image effectively.
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