说明：  对机器视觉系统采集 的柑橘图像进行图像裁切、RGB 空间至HSI 空间的转换和差值法去图像背景，用色调H 和饱和度S 为输入，建立小波神经网络柑橘pH 预测模型，无损检测柑橘pH。
(Images of citrus fruits from machine vision system were processed by cutting, converting from RGB space to HSI space, removing background by deviation. A wavelet neural network model was constructed to detect pH value of citrus fruits non-destructively, the inputs of the model were image hue H and saturation S.)