Methods for recognizing mushroom species on the basis of the photo

The aim of the article is to compare two methods for identifying mushroom species. In article, two methods based on one of the most popular solutions in the field of image recognition, Tenosorflow and OpenCV, have been described. A research application was created to carry out the research, in which...

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Bibliographic Details
Main Authors: Kamil Chodoła, Grzegorz Czyż, Maria Skublewska-Paszkowska
Format: Article
Language:English
Published: Lublin University of Technology 2019-09-01
Series:Journal of Computer Sciences Institute
Subjects:
Online Access:https://ph.pollub.pl/index.php/jcsi/article/view/438
Description
Summary:The aim of the article is to compare two methods for identifying mushroom species. In article, two methods based on one of the most popular solutions in the field of image recognition, Tenosorflow and OpenCV, have been described. A research application was created to carry out the research, in which both algorithms were implemented and tested. In addition, the application was equipped with mechanisms facilitating the collection of application data and algorithms. The results of the research have show that the method based on Tensorflow by 9% more effectively recognizes mushroom species.
ISSN:2544-0764