Abstract
Active Sludge particles in wastewater or sewage water treatment plants are analyzed. Based on the analysis report, the water is treated to improve the quality of water so that it can be reused. Microscopic images of water samples are obtained from municipal Active Sludge wastewater treatment plants for analysis, so that particles can be viewed clearly. A method that exactly determines the length of filamentous bacteria and flocs segmented from the images is proposed in this paper. Texture and shape features are extracted from the filaments and flocs. An SVM classifier is used to classify the flocs and filaments using the features extracted. Based on the distribution of sludge particles in a particular area, Artificial intelligence is used to find the process of chemical treatment. This helps in treatment of wastewater for further reuse.
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