Research on recognition methods of aphid objects in complex backgrounds

Hui-Yan Zhao; Ji-Hong Zhang

doi:10.1117/12.836960

10 July 2009 Research on recognition methods of aphid objects in complex backgrounds

Hui-Yan Zhao, Ji-Hong Zhang

Proceedings Volume 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 74900N (2009) https://doi.org/10.1117/12.836960
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China

Abstract

In order to improve the recognition accuracy among the kinds of aphids in the complex backgrounds, the recognition method among kinds of aphids based on Dual-Tree Complex Wavelet Transform (DT-CWT) and Support Vector Machine (Libsvm) is proposed. Firstly the image is pretreated; secondly the aphid images' texture feature of three crops are extracted by DT-CWT in order to get the training parameters of training model; finally the training model could recognize aphids among the three kinds of crops. By contrasting to Gabor wavelet transform and the traditional extracting texture's methods based on Gray-Level Co-Occurrence Matrix (GLCM), the experiment result shows that the method has a certain practicality and feasibility and provides basic for aphids' recognition between the identification among same kind aphid.

Citation Download Citation

Hui-Yan Zhao and Ji-Hong Zhang "Research on recognition methods of aphid objects in complex backgrounds", Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 74900N (10 July 2009); https://doi.org/10.1117/12.836960

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KEYWORDS

Feature extraction

Wavelet transforms

Wavelets

Agriculture

Image enhancement

Image processing

Statistical analysis

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