Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Identification of Bacteria using Digital Image Processing

Author : V.Preetha 1 P.Pandi Selvi 2

Date of Publication :29th March 2018

Abstract: In the field of microbiology, there is no direct method to find out the microorganism and their species of bacteria. Microscopic sample analysis is a common manual technique employed for bacterial detection and identification. After the analysis process, more than 25 biochemical tests are used to determine the bacteria and its species. These tests include gram reaction, motility, shape, spore, biochemical tests and so on. These tests will be time-consuming and is subjected to poor specificity. Hence it requires highly trained personnel for testing. In order to overcome the existing manual problems, digital image processing techniques can be used. The main aim of the proposed work is to use image-processing techniques to identify the bacteria from images. After staining the microorganisms with appropriate dyes, the images of microorganisms were captured using a digital camera attached with an electron microscope. To identify the species, image processing techniques such as preprocessing, segmentation, morphological operations are used

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