中国计量学院学报2012，Vol.23Issue(1)：20-24,5.
一种识别不同种类葡萄的无损检测方法
A nondestructive detection method to distinguish different kinds of grapes
鲁伟奇 1郭永洪1
作者信息
- 1. 中国计量学院机电工程学院,浙江杭州310018
- 折叠
摘要
Abstract
A simple and effective method for the feature extraction about grapes' color was designed and the computed results of feature values were the input of neural network. The different kinds of grapes were distinguished by the neural network's self learning and training. The research showed that the accuracy rate of recognition was high and the mean square error was 0. 000 252% by using this article's experimental method. The recognition process is much shorter than the general method.关键词
图像处理/机器视觉/无损检测/神经网络Key words
image processing/ machine vision/ nondestructive detection/ neural network分类
信息技术与安全科学引用本文复制引用
鲁伟奇,郭永洪..一种识别不同种类葡萄的无损检测方法[J].中国计量学院学报,2012,23(1):20-24,5.
