Bacteria identification using digital image processing

Durai Anand Thangarajan, Sivasangari Rajeswaran
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Abstract

The identification of bacteria is an important and unavoidable task in medical disciplines and nutritional hygiene. But in the field of microbiology, No direct method is available for determination of bacterial species. The common manual technique is the microscopic sample analysis combined with more than 20 biochemical tests to identify the bacterium. These tests are more time consuming processes and required the training person for conducting these tests. To overcome the above problems the digital image processing can be used. The primary objective of the proposed work is to use the digital image processing techniques to identify the bacteria from the microscopic images. In this work the image of bacterial species were captured using a digital camera attached with the transmission electron microscope. After capturing the image, the preprocessing, segmentation and morphological procedures of digital image processing techniques are used to identify the bacterial species.
利用数字图像处理技术识别细菌
细菌鉴定是医学学科和营养卫生领域不可避免的一项重要任务。但在微生物学领域,没有直接测定细菌种类的方法。常用的手工技术是通过显微镜样本分析结合 20 多种生化测试来鉴定细菌。这些测试过程比较耗时,而且需要对人员进行培训才能进行。为了克服上述问题,可以使用数字图像处理技术。这项工作的主要目的是利用数字图像处理技术从显微图像中识别细菌。在这项工作中,细菌种类的图像是通过与透射电子显微镜相连的数码相机拍摄的。捕捉图像后,使用数字图像处理技术的预处理、分割和形态学程序来识别细菌种类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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