Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Continuous Max-Flow Approach to Cyclic Field Reconstruction   Reconstruction of an image from noisy data using Markov Random Field theory
has been explored by both the graph-cuts and continuous max-flow community in
the form of the Potts and Ishikawa models. However, neither model takes into
account the particular cyclic topology of specific intensity types such as the
hue in natural colour images, or the phase in complex valued MRI. This paper
presents \textit{cyclic continuous max-flow} image reconstruction which models
the intensity being reconstructed as having a fundamentally cyclic topology.
This model complements the Ishikawa model in that it is designed with image
reconstruction in mind, having the topology of the intensity space inherent in
the model while being readily extendable to an arbitrary intensity resolution.

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The categories of this paper are: atom-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: hep-th
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The categories of this paper are: supr-con
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The categories of this paper are: funct-an
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The categories of this paper are: comp-gas
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The categories of this paper are: hep-lat
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The categories of this paper are: cmp-lg
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The categories of this paper are: math
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The categories of this paper are: solv-int
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The categories of this paper are: nucl-ex
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The categories of this paper are: physics
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The categories of this paper are: quant-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: mtrl-th