• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Computer Application and System Modeling >Study on fruit quality inspection based on color image processing
【24h】

Study on fruit quality inspection based on color image processing

机译：基于彩色图像处理的水果质量检验研究

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, a new method of inspecting fruit quality is proposed based on color image processing. After an image of fruits is taken, white balance is performed. Then the image is transferred from the RGB color model to the HSI color model. Its simplified histograms of hue H and saturation S are calculated as the input of a designed BP network. The output of the BP network is the quality description of the inspected fruits. The number of neurons in the intermediate layer is optimized according to generated error of the BP network. After training, the quality of fruits is inspected by the BP network according to the simplified histograms of H and S of their color image. Experiments are conducted with the quality inspection of bananas. Experiment results show the feasibility and reliability of proposed method.
机译：本文提出了一种基于彩色图像处理的检查果实质量的新方法。在拍摄水果图像之后，进行白平衡。然后将图像从RGB颜色模型传送到HSI颜色模型。其简化的Hue H和饱和度S的直方图被计算为设计的BP网络的输入。 BP网络的输出是所检查的水果的质量描述。根据BP网络的产生误差优化中间层中的神经元数。在训练之后，根据其彩色图像的H和S的简化直方图，通过BP网络检查水果的质量。试验是用香蕉的质量检验进行的。实验结果表明了所提出的方法的可行性和可靠性。

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