
Proceedings Paper
A stand for the image acquisition of composted material based on the sewage sludgeFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
Composting is one of the best methods for sewage sludge management. The early identification of the young
compost stage in composted material is important. The method for determining the degree of maturity of composted
material containing sewage sludge will use the selected topologies of artificial neural networks. The learning processes
of these networks will be carried out with the use of the information contained in digital images of composted material. It
is important that acquisition of these images was carried out under constant lighting and exposure conditions on a
suitable acquisition stand. The objectives of presented study were: to develop a stand for image acquisition of composted
material, to determine the spectral distribution for used light sources and illuminance distribution for visible light, to
determine the parameters for image acquisition of composted material. A suitable stand, consisted of three photographic
chambers illuminated with visible light, UV-A light and mixed light, was developed. The spectral distribution of the
used light sources and the illuminance distribution for visible light were analyzed and considered satisfactory. Image
acquisition parameters, such as focal length, ISO sensitivity, aperture and exposure time, were specified.
Paper Details
Date Published: 8 June 2012
PDF: 5 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83341R (8 June 2012); doi: 10.1117/12.949899
Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)
PDF: 5 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83341R (8 June 2012); doi: 10.1117/12.949899
Show Author Affiliations
S. Kujawa, Poznan Univ. of Life Sciences (Poland)
R. J. Tomczak, Poznan Univ. of Life Sciences (Poland)
T. Kluza, Poznan Univ. of Life Sciences (Poland)
R. J. Tomczak, Poznan Univ. of Life Sciences (Poland)
T. Kluza, Poznan Univ. of Life Sciences (Poland)
J. Weres, Poznan Univ. of Life Sciences (Poland)
P. Boniecki, Poznan Univ. of Life Sciences (Poland)
P. Boniecki, Poznan Univ. of Life Sciences (Poland)
Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)
© SPIE. Terms of Use
