Study on the Intelligent Recognition Method for the Maturity Grade of Fresh Corn Ear based on Computer Vision

DOI

10.2991/isccca.2013.91How to use a DOI?

Keywords

fresh corn ear, maturity grade, computer vision, intelligent recognition, neural network

Abstract

In order to realize the intelligent recognition for the maturity grade of fresh corn ear, intelligent inspection system was studied based on computer vision, which could automatically complete the collection and handling of ear graphic and the recognition of maturity of the corn ear. Based on the study, a kind of intelligent recognition method was put forward under the graphic of certain frequency domain. An energy chain was established, and the characters of energy spectrum was extracted through the two-dimensional inverse discrete Fourier transformation on the graphics collected. With the above characters, a probabilistic neural network was developed, the accuracy rate of the recognition method could be 96.7%.

Copyright

© 2013, 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/).

Download article (PDF)

TY  - CONF
AU  - Huihui Wang
AU  - Yonghai Sun
AU  - Yan Lv
AU  - Xueheng Tao
AU  - Xuejun Wang
AU  - Jixin Yang
PY  - 2013/02
DA  - 2013/02
TI  - Study on the Intelligent Recognition Method for the Maturity Grade of Fresh Corn Ear based on Computer Vision
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 368
EP  - 371
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.91
DO  - 10.2991/isccca.2013.91
ID  - Wang2013/02
ER  -