关键词: 计算机视觉 脐橙 特征参数 BP神经网络

Abstract:

According to image characteristics and classification standards of navel orange, computer vision and pattern recognition technology was used to realize automatic detection and classification. The original image was disposed fast and smoothly by median filtering and linear low passing filtering. Based on the statistical treatment of picture element color information of the navel orange image, the fruit image was effectively wiped off by setting up the values of B （blue）, H（hue） and S（saturation）. The parameters of diameter, shape, surface defects, color, and pigmentation ratio were extracted acccording to grading standards. The model referring the relation between character parameters and navel orange grading was set up by BP neural network. The results showed that the forecasting nicety could reach 85%.

Key words: computer vision , navel orange , character parameter , BP neural network