Login New user?  
01-Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 

Content
 

Volumes > Volume 10 > No. 1

 
   

Computerized Classification Systemfor the Identification of Soil Microorganisms

PP: 21-31
doi:10.18576/amis/100103
Author(s)
Michał Kruk, Ryszard Kozera, Stanisław Osowski, Paweł Trzciǹski, Lidia Sas-Paszt, Beata Sumorok, Bolesław Borkowski,
Abstract
This paper presents the method of soil microorganisms identification from the microscopic digital images. The proposed approach includes: segmentation of the image, feature generation, selection of the most important features and the final recognition stage applying five different solutions of classifiers. The paper presents and discusses the results concerning the recognition of several most popular soil microorganisms: Bacillus subtilis, Paenibacillus glucanolyticus, Rachnella aquatilis, Scoleobasidium sp., Trichoderma sp., Pseudomonas fluorescens, Bacillus atrophaeus, Azotobacter sp., Streptomyces sp. and other bacterias and fungi. The proposed system enables the recognition of the microorganisms with the accuracy close to 98%.

  Home   About us   News   Journals   Conferences Contact us Copyright naturalspublishing.com. All Rights Reserved