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Gender identification of imperfect flowers using image classification

conference contribution
posted on 30.01.2019, 00:00 by Rohan De Silva, P Senanayake
In this paper, we present two approaches that can be used to classify images of imperfect flowers according to their gender. By taking photos of small sections of the flower and that of objects in its neighborhood, it is possible to classify the imperfect flowers. Using images of bitter gourd flowers and various other objects, we tested our approaches. In the first approach, we used multilayer perceptron network in WEKA 3.8.0 on red, green and blue (RGB) components of the images and could classify all stamens and pistils correctly. In the second approach, we constructed a set of rules to classify images with hundred percent accuracy based on their RGB values. This has much less computational burden than the first approach.

History

Editor

Duy TT; Bao VNQ

Parent Title

Proccedings of 2018 International Conference on Advanced Technologies for Communications (ATC 2018)

Start Page

110

End Page

114

Number of Pages

5

Start Date

18/10/2018

Finish Date

20/10/2018

eISSN

2162-1039

ISSN

2162-1020

ISBN-13

9781538665428

Location

Ho Chi Minh City, Vietnam

Publisher

IEEE

Place of Publication

Piscataway, NJ

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Ayoma Business Solutions, Sri Lanka

Era Eligible

Yes

Name of Conference

International Conference on Advanced Technologies for Communications (ATC 2018)