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首页> 外文会议>IEEE Conference on Systems, Process and Control >Image segmentation of microscopic wastewater images using phase contrast microscopy
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Image segmentation of microscopic wastewater images using phase contrast microscopy

机译：使用相差显微镜对废水中的微观图像进行图像分割

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Image processing and analysis is a useful tool for monitoring of activated sludge wastewater treatment plants. However, its effectiveness is dependent on performance of the segmentation algorithms. The activated sludge wastewater plant can be monitored by image processing and analysis of images acquired through microscope using bright field microscopy and phase contrast microscopy. In this paper, we have investigated three segmentation algorithms which are channel based segmentation, edge based segmentation and Bradley based segmentation. The performance of the algorithms is assessed using the performance metric of accuracy. Forty gold approximations of ground truth images are manually prepared for comparing with the result for segmentation. Half of the forty images are acquired at 10x and rest at 20x objective magnification of the microscope. Edge based segmentation gives better results compared to other algorithms with accuracy of 0.972.
机译：图像处理和分析是监测活性污泥废水处理厂的有用工具。但是，其有效性取决于分割算法的性能。活性污泥废水处理厂可以通过图像处理和使用明场显微镜和相衬显微镜对通过显微镜获得的图像进行分析来进行监控。在本文中，我们研究了三种分割算法：基于通道的分割，基于边缘的分割和基于Bradley的分割。使用准确性的性能度量来评估算法的性能。手动准备了40个地面真实图像的黄金近似值，以与分割结果进行比较。四十个图像中的一半是在显微镜的物镜放大倍数下的10倍获得的，其余在20倍的物镜放大倍数下获得。与其他算法相比，基于边缘的分割可提供更好的结果，准确性为0.972。

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