The Research of Feature Extraction Methods in the Tomatoes Detection

Feature selection can reduce the feature space dimension and improve recognition. In the discriminatory fresh degree of tomatoes by electronic nose, it used three kinds of feature extraction methods: sheath coefficient characteristics, similitude entropy characteristics and the energy characteristics, and the three methods were compared respectively. The results showed that similitude entropy characteristics feature extraction methods has its advantages in electronic nose detection.