Study on Leaf Image Feature Extraction of Cucumber Disease

DOI

10.2991/mse-15.2016.16How to use a DOI?

Keywords

image processing, feature extraction, cucumber disease image

Abstract

In order to realize the accurate recognition of cucumber disease, the disease position of feature extraction is a crucial step, this study using computer image processing technology on cucumber disease image preprocessing and feature extraction. Using professional image acquisition device to obtain the disease image of cucumber, by the preparation of computer image processing software for image noise reduction and other preprocessing. We studied the characteristics of cucumber downy mildew, extracted 15 characteristic parameters from three aspects of statistics, shape and color, which will be used as the main basis for disease identification, and improve the accuracy of identification.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhanwu Peng
AU  - Xue Wang
PY  - 2016/03
DA  - 2016/03
TI  - Study on Leaf Image Feature Extraction of Cucumber Disease
BT  - Proceedings of the 2015 International Conference on Mechanical Science and Engineering
PB  - Atlantis Press
SP  - 85
EP  - 89
SN  - 2352-5401
UR  - https://doi.org/10.2991/mse-15.2016.16
DO  - 10.2991/mse-15.2016.16
ID  - Peng2016/03
ER  -