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Digital Algal Cell Growth Analysis and Time Determination of Pediastrum sp using Fuzzy Inference System

by Sabeeha Sultana, Gowri Srinivasa, N. Thajuddin
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 29
Year of Publication: 2018
Authors: Sabeeha Sultana, Gowri Srinivasa, N. Thajuddin
10.5120/ijca2018916600

Sabeeha Sultana, Gowri Srinivasa, N. Thajuddin . Digital Algal Cell Growth Analysis and Time Determination of Pediastrum sp using Fuzzy Inference System. International Journal of Computer Applications. 179, 29 ( Mar 2018), 12-16. DOI=10.5120/ijca2018916600

@article{ 10.5120/ijca2018916600,
author = { Sabeeha Sultana, Gowri Srinivasa, N. Thajuddin },
title = { Digital Algal Cell Growth Analysis and Time Determination of Pediastrum sp using Fuzzy Inference System },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2018 },
volume = { 179 },
number = { 29 },
month = { Mar },
year = { 2018 },
issn = { 0975-8887 },
pages = { 12-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number29/29159-2018916600/ },
doi = { 10.5120/ijca2018916600 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:56:52.576985+05:30
%A Sabeeha Sultana
%A Gowri Srinivasa
%A N. Thajuddin
%T Digital Algal Cell Growth Analysis and Time Determination of Pediastrum sp using Fuzzy Inference System
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 29
%P 12-16
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main aim of the present study is to develop an automatic tool to identify and classify the growth stage of the microalgae cell based on morphological growth pattern and also the division time of the individual cell of microalgae population. The proposed strategy is to capture digital images of the microalgae cell growing on culture media and to examine the change in dimensions of each cell throughout the life cycle. To identify geometrical features that are used in estimating the microalgae cell properties, which are helpful for time determination during cell division. The Segmentation method used here is Active Contour and classification is done using fuzzy inference system and decision trees. The experimental results are compared with manual results obtained by phycologist and demonstrate the efficiency of the system.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cyanobacteria algae growth phases cell segmentation fuzzy inference system

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