...
首页> 外文期刊>Advance journal of food science and technology >Study on the Fruit Recognition System Based on Machine Vision
【24h】

Study on the Fruit Recognition System Based on Machine Vision

机译:基于机器视觉的水果识别系统研究

获取原文
获取原文并翻译 | 示例
           

摘要

The study proposed that the current development of fruit requires the fast and efficient methods to test the varieties of fruits, which can combine the image processing and computer machine vision technology together to be applied in the field of fruit varieties detection domain, so as to be consistent with this new trend. In this research, In terms of the fruit detection based on Haar-like characteristics, PCA method is mainly used in fruit recognition and used to detect citrus.
机译:研究认为,当前水果的发展需要一种快速,高效的方法来测试水果品种,可以将图像处理和计算机视觉技术结合起来,应用于水果品种检测领域,以达到与这一新趋势保持一致。在基于Haar样特征的水果检测中,PCA方法主要用于水果识别和柑橘类检测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号