Automatic monitoring of waste-water in industrial plants basins

Author

Baldini, Gaetano ; Campadelli, Paola ; Lanzarotti, Rafaella ; Piccoli, Pietro

Author_Institution

CESI, Milan, Italy

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

297

Abstract

We describe an algorithm for the analysis of color images of basins which gather dirty water, with the objective of detecting and estimate the presence of exceeding combustible oil. The algorithm first detects most of the pixel corresponding to the combustible oil applying a thresholding method based on the entropy of the image´s histogram. Then it treats the images differently according to the first order statistics of the image´s hue; we distinguished two cases in which the algorithm has a different behavior: in the first case, it applies a clustering method in the HSV color space, whereas in the second case it. operates in the CIE-L*a*b* color space. Finally it estimates the percentage of the present oil

Keywords

image colour analysis; industrial plants; statistical analysis; visual perception; water pollution measurement; CIE-L*a*b* color space; HSV color space; automatic waste-water monitoring; clustering method; color image analysis algorithm; combustible oil detection; first order statistics; human visual system; image histogram entropy; image hue; industrial plant basins; pixel; thresholding method; Algorithm design and analysis; Computerized monitoring; Entropy; Histograms; Image analysis; Image color analysis; Industrial plants; Petroleum; Pixel; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.959012

Filename

959012