文件名称:Citrus-Fruits-pH-Value-detect
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- 上传时间:2012-11-16
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文件大小:1.16mb
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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.
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.
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Citrus Fruits pH Value detect.pdf
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