Segmentation of Activated Sludge Flocs in Microscopic Images for Monitoring Wastewater Treatment Article Swipe

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Ahmed Elaraby , Walid Hamdy , Humaira Nisar , Monagi H. Alkinani ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1155/2022/4347170

The proposed work describes an approach for segmentation of activated sludge flocs from the microscopic images for monitoring wastewater treatment. The morphological features of flocs (microbial aggregates) and filaments are related to the state of an activated sludge wastewater treatment plant and must be monitored for proper functioning. Hence, image processing and analysis could be a time‐saving monitoring tool. To address this challenge, we propose a novel framework involving a multiphase edge detection algorithm based on information theory. The proposed framework is evaluated and scrutinized critically considering the artifacts found in the photographs tested. To evaluate the segmentations, gold approximation of estimated truth images is created. In addition, the performance was subjectively evaluated for its potential for segmenting activated sludge images. Experimental results show that the proposed framework exhibits the good results and demonstrates its effectiveness.

Related Topics

Artificial Intelligence

Enhanced Data Rates For Gsm Evolution

Image Segmentation

Computer Vision

Environmental Science

Environmental Engineering

Engineering

Biology

Concepts

Activated sludge Sewage treatment Segmentation Computer science Wastewater Artificial intelligence Enhanced Data Rates for GSM Evolution Image segmentation Process engineering Computer vision Environmental science Pattern recognition (psychology) Biological system Environmental engineering Engineering Biology

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Type: article
Language: en
Landing Page: https://doi.org/10.1155/2022/4347170
PDF: https://downloads.hindawi.com/journals/complexity/2022/4347170.pdf
OA Status: gold
Cited By: 8
References: 22
Related Works: 10
OpenAlex ID: https://openalex.org/W4280515650

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OpenAlex ID: https://openalex.org/W4280515650

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DOI: https://doi.org/10.1155/2022/4347170

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Title: Segmentation of Activated Sludge Flocs in Microscopic Images for Monitoring Wastewater Treatment

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-01-01

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Authors: Ahmed Elaraby, Walid Hamdy, Humaira Nisar, Monagi H. Alkinani

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Landing page: https://doi.org/10.1155/2022/4347170

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PDF URL: https://downloads.hindawi.com/journals/complexity/2022/4347170.pdf

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Concepts: Activated sludge, Sewage treatment, Segmentation, Computer science, Wastewater, Artificial intelligence, Enhanced Data Rates for GSM Evolution, Image segmentation, Process engineering, Computer vision, Environmental science, Pattern recognition (psychology), Biological system, Environmental engineering, Engineering, Biology

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Cited by: 8

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Citations by year (recent): 2025: 3, 2024: 4, 2022: 1

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Related works (count): 10

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