Features selection of cotton disease leaves image based on fuzzy feature selection techniques

@article{Zhang2007FeaturesSO,
  title={Features selection of cotton disease leaves image based on fuzzy feature selection techniques},
  author={Yan-Cheng Zhang and Han-ping Mao and Bo Hu and Ming-Xi Li},
  journal={2007 International Conference on Wavelet Analysis and Pattern Recognition},
  year={2007},
  volume={1},
  pages={124-129}
}
In the research of identifying and diagnosing cotton disease using computer vision intellectively in the agriculture, feature selection is a key question in pattern recognition and affects the design and performance of the classifier. In this paper, the fuzzy feature selection approach - fuzzy curves (FC) and surfaces (FS) - is proposed to select features of cotton disease leaves image. In order to get best information for diagnosing and identifying, a subset of independent significant features… CONTINUE READING
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