文件名称:NavelOrange-Grading-System
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- 上传时间:2012-11-16
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运用计算机视觉和模式识别技术,研究了基于计算机视觉的脐橙分级系统,首先对获
取的图像分割出背景、脐橙本体和表面缺陷,再根据脐橙的分级标准,提取出果实横径、表面缺陷的特征参数,采用径向基神经网络对脐橙样本进行了等级识别,实现脐橙的自动检测与分级。-According to the characteristics and requests of navel orange,
this study uses computer vision and pattern recognition technology, segmenting the background, navel orange
body and its surface defects, then the parameters of the diameter and the surface defects are collected, and re2
alizes the automatic detection and classification.
取的图像分割出背景、脐橙本体和表面缺陷,再根据脐橙的分级标准,提取出果实横径、表面缺陷的特征参数,采用径向基神经网络对脐橙样本进行了等级识别,实现脐橙的自动检测与分级。-According to the characteristics and requests of navel orange,
this study uses computer vision and pattern recognition technology, segmenting the background, navel orange
body and its surface defects, then the parameters of the diameter and the surface defects are collected, and re2
alizes the automatic detection and classification.
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NavelOrange Grading System.pdf
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