Research on Maize Varieties Recognition System Based on Image Processing-Reference-Cited by-同舟云学术

Research on Maize Varieties Recognition System Based on Image Processing

Published:2013-09 Issue: Volume:397-400 Page:2335-2339
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Deng Li Miao¹,Luan Tao¹,Ma Wen Jie¹

Affiliation:

1. Qingdao Agricultural University

Abstract

In order to realize highly intelligent and automatic species identification and recognition, we obtained the images of 11 varieties and each variety includes 50 seeds. For each image, we acquired 33 characteristics including shape, color and texture characteristics. And then we constructed the Artificial Neural Network and Support Vector Machine model to train and identify different varieties. We built the recognition system based on Visual C++ 6.0 and OpenCV library.Results shows that the SVM method has higher recognition effect than neural network overall and the recognition effect is more stability, the overall self-_recognition performance can reach 100% and test accuracy can reach 85%. The recoginition System base on Visual C++ runs faster than that of Matlab, which is more suitable for real-time varieties identification.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.397-400.2335.pdf

Reference8 articles.

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