Identification of malting barley varieties using computer image analysis and artificial neural networks

K. Nowakowski; P. Boniecki; R. J. Tomczak; S. Kujawa; B. Raba

doi:10.1117/12.954155

8 June 2012 Identification of malting barley varieties using computer image analysis and artificial neural networks

K. Nowakowski, P. Boniecki, R. J. Tomczak, S. Kujawa, B. Raba

Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 833425 (2012) https://doi.org/10.1117/12.954155
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

Abstract

The project aimed to produce an identification model that allows for automatic recognition of malting barley varieties. The project used computer image analysis and artificial neural networks. The authors based on the analysis of biological material selected set of features describing the physical parameters allowing the identification of varieties. Image analysis of samples of barley digital photographs allowed the extraction of the characteristics of varieties. Obtained characteristics from the images were used as learning data for artificial neural network. Trained a multilayer perceptron network is characterized by the identification abilities at the level of human abilities.

Citation Download Citation

K. Nowakowski, P. Boniecki, R. J. Tomczak, S. Kujawa, and B. Raba "Identification of malting barley varieties using computer image analysis and artificial neural networks", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833425 (8 June 2012); https://doi.org/10.1117/12.954155

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available