Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dust concentration vision measurement based on moment of inertia in gray
  level-rank co-occurrence matrix   To improve the accuracy of existing dust concentration measurements, a dust
concentration measurement based on Moment of inertia in Gray level-Rank
Co-occurrence Matrix (GRCM), which is from the dust image sample measured by a
machine vision system is proposed in this paper. Firstly, a Polynomial
computational model between dust Concentration and Moment of inertia (PCM) is
established by experimental methods and fitting methods. Then computing methods
for GRCM and its Moment of inertia are constructed by theoretical and
mathematical analysis methods. And then developing an on-line dust
concentration vision measurement experimental system, the cement dust
concentration measurement in a cement production workshop is taken as a
practice example with the system and the PCM measurement. The results show that
measurement error is within 9%, and the measurement range is 0.5-1000 mg/m3.
Finally, comparing with the filter membrane weighing measurement, light
scattering measurement and laser measurement, the proposed PCM measurement has
advantages on error and cost, which can be provided a valuable reference for
the dust concentration vision measurements.

3
The categories of this paper are: physics
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
6
The categories of this paper are: astro-ph
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc