Citrus yellow mite image recognition based on BP neural network

Citrus yellow mite image recognition based on BP neural network

BP neural network has strong fault tolerance and adaptive learning ability, it is widely used in the field of digital image recognition. This paper, aiming at the problem of the citrus Eotetranychus automatic identification, using extraction methods based on the morphological features of the skeleto...

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Hauptverfasser: Huanliang Xiong, Canghai Wu, Qiangqiang Zhou
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citrus yellow mite
image recognition
neural network
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Canghai Wu
Qiangqiang Zhou
description BP neural network has strong fault tolerance and adaptive learning ability, it is widely used in the field of digital image recognition. This paper, aiming at the problem of the citrus Eotetranychus automatic identification, using extraction methods based on the morphological features of the skeleton, automatically extracted citrus Eotetranychus's skeleton mathematical morphological characteristics, which were used as BP neural network input factors, achieved citrus Eotetranychus identification better.
doi_str_mv 10.1109/ICCSNT.2012.6526359
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subjects citrus yellow mite
image recognition
neural network
title Citrus yellow mite image recognition based on BP neural network
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