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ThinkMind // ALLSENSORS 2016, The First International Conference on Advances in Sensors, Actuators, Metering and Sensing // View article allsensors_2016_6_20_70101


Using Customized Computer Vision and Charge-Coupled Device (CCD) Sensor for the Recognition of Colony Formation and Counting of live Bacteria in the Agricultural Industry

Authors:
Gabriel Alves
Paulo Cruvinel

Keywords: intelligent sensing; bacterial colonies counting; Hough Transform; computer vision

Abstract:
This paper presents an arrangement based on a customized computer and Charge-Coupled Device (CCD) sensor system to allow the counting and recognition of the colony formation, in an intelligent manner, of live bacteria. Microbes in agricultural environments are important catalysts of global carbon and nitrogen cycles, including the production and consumption of greenhouse gases in soil. The magnitude of this process is influenced by human activities and impacts the warming potential of Earth's atmosphere. The method implemented uses techniques of digital image processing, and among them, Hough Transform for circular objects. For calibration and validation of the method, a RGB (Red-Green-Blue) camera based on the CCD was used, as well as a prepared illuminated chamber, to allow the analysis of the bacteria Escherichia Coli and Acidithiobacillus ferrooxidans. The visual environment, Borland Builder C++, was used for the development, and a modeling for decision making was incorporated to aggregate intelligence. Moreover, a set of comparisons was established, taking into account the smart methods and analyses carried out by experts. The results have shown the potentiality of the method, which is applied for laboratory applications that involve the quantification and the pattern recognition of bacterial colonies in solid culture environments.

Pages: 51 to 58

Copyright: Copyright (c) IARIA, 2016

Publication date: April 24, 2016

Published in: conference

ISSN: 2519-836X

ISBN: 978-1-61208-523-4

Location: Venice, Italy

Dates: from April 24, 2016 to April 28, 2016

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