Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fast Hough Transform and approximation properties of dyadic patterns   Hough transform is a popular low-level computer vision algorithm. Its
computationally effective modification, Fast Hough transform (FHT), makes use
of special subsets of image matrix to approximate geometric lines on it.
Because of their special structure, these subset are called dyadic patterns.
  In this paper various properties of dyadic patterns are investigated. Exact
upper bounds on approximation error are derived. In a simplest case, this error
proves to be equal to $\frac{1}{6} log(n)$ for $n \times n$ sized images, as
was conjectured previously by Goetz et al.

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The categories of this paper are: physics
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The categories of this paper are: math
23
The categories of this paper are: solv-int
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The categories of this paper are: hep-ph
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The categories of this paper are: q-bio
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The categories of this paper are: hep-ex
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The categories of this paper are: nucl-th
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The categories of this paper are: plasm-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: gr-qc
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The categories of this paper are: chao-dyn
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The categories of this paper are: q-fin
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The categories of this paper are: atom-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: acc-phys