Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Efficient method for parallel computation of geodesic transformation on
  CPU   This paper introduces a fast Central Processing Unit (CPU) implementation of
geodesic morphological operations using stream processing. In contrast to the
current state-of-the-art, that focuses on achieving insensitivity to the filter
sizes with efficient data structures, the proposed approach achieves efficient
computation of long chains of elementary $3 \times 3$ filters using multicore
and Single Instruction Multiple Data (SIMD) processing. In comparison to the
related methods, up to $100$ times faster computation of common geodesic
operators is achieved in this way, allowing for real-time processing (with over
$30$ FPS) of up to $1500$ filters long chains, applied on $1024\times 1024$
images. In addition, the proposed approach outperformed GPGPU, and proved to be
more efficient than the comparable streaming method for the computation of
morphological erosions and dilations with window sizes up to $183\times 183$ in
the case of using char and $27\times27$ when using double data types.

20
The categories of this paper are: acc-phys
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
16
The categories of this paper are: stat
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga
18
The categories of this paper are: econ
15
The categories of this paper are: nucl-ex
14
The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph
13
The categories of this paper are: quant-ph
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci