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Neural network segmentation of images from stained cucurbits leaves with colour symptoms of biotic and abiotic stresses Cover

Neural network segmentation of images from stained cucurbits leaves with colour symptoms of biotic and abiotic stresses

International Journal of Applied Mathematics and Computer Science
Volume 22 (2012): Issue 3 (September 2012)
By: ,   and    
Open Access
|Sep 2012
Authors

Authors

Jarosław Gocławski

jgoclaw@kis.p.lodz.pl

Joanna Sekulska-Nalewajko

jsekulska@kis.p.lodz.pl

Elżbieta Kuźniak

elkuz@biol.uni.lodz.pl

DOI: https://doi.org/10.2478/v10006-012-0050-5 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 669 - 684
Published on: Sep 28, 2012
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
image segmentation,
colour space,
morphological processing,
image thresholding,
artificial neural network,
WTA learning,
Widrow–Hoff learning,
Cucurbita species,
plant stress,
ROS detection
Related subjects:
Mathematics,
Applied mathematics

© 2012 Jarosław Gocławski, Joanna Sekulska-Nalewajko, Elżbieta Kuźniak, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 22 (2012): Issue 3 (September 2012)
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