Image parameters for maturity determination of a composted material containing sewage sludge

S. Kujawa; K. Nowakowski; R. J. Tomczak; P. Boniecki; J. Dach

doi:10.1117/12.2030563

19 July 2013 Image parameters for maturity determination of a composted material containing sewage sludge

S. Kujawa, K. Nowakowski, R. J. Tomczak, P. Boniecki, J. Dach

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88782K (2013) https://doi.org/10.1117/12.2030563
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

Abstract

Composting is one of the best methods for management of sewage sludge. In a reasonably conducted composting process it is important to early identify the moment in which a material reaches the young compost stage. The objective of this study was to determine parameters contained in images of composted material’s samples that can be used for evaluation of the degree of compost maturity. The study focused on two types of compost: containing sewage sludge with corn straw and sewage sludge with rapeseed straw. The photographing of the samples was carried out on a prepared stand for the image acquisition using VIS, UV-A and mixed (VIS + UV-A) light. In the case of UV-A light, three values of the exposure time were assumed. The values of 46 parameters were estimated for each of the images extracted from the photographs of the composted material’s samples. Exemplary averaged values of selected parameters obtained from the images of the composted material in the following sampling days were presented. All of the parameters obtained from the composted material’s images are the basis for preparation of training, validation and test data sets necessary in development of neural models for classification of the young compost stage.

Citation Download Citation

S. Kujawa, K. Nowakowski, R. J. Tomczak, P. Boniecki, and J. Dach "Image parameters for maturity determination of a composted material containing sewage sludge", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88782K (19 July 2013); https://doi.org/10.1117/12.2030563

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