Abstract Monitoring of activated sludge flocs may provide important information for effective operation and control of wastewater treatment. The research objective is to demonstrate methodology for activated sludge image processing aimed to describe morphological characteristics of activated sludge flocs. The proposed software- -based method was presented and verified by analysis of several activated sludge samples. The results show high efficiency of image segmentation and floc recognition of more than 94% floc components. The analysis of a series of 50 pictures gives rapid and reliable results and can be performed in an automatic or semiautomatic mode. Given inherent heterogeneity of activated sludge flocs, multiple and repeated sample images capture (processing of 50 pictures at a time, repeated at least 4 times ) is recommended.

中文翻译：

---

使用 DAIME 表征活性污泥絮体

摘要 活性污泥絮体监测可为废水处理的有效运行和控制提供重要信息。研究目的是展示活性污泥图像处理方法，旨在描述活性污泥絮体的形态特征。通过对几个活性污泥样品的分析，提出并验证了所提出的基于软件的方法。结果表明，对94%以上的絮状物成分进行图像分割和絮状物识别的效率很高。对一系列 50 张图片的分析可提供快速可靠的结果，并且可以在自动或半自动模式下进行。鉴于活性污泥絮体固有的异质性，建议多次重复采集样本图像（一次处理 50 张图片，至少重复 4 次）。