• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Conference on Sensing for Agriculture and Food Quality and Safety VIII >Food inspection using hyperspectral imaging and SVDD
【24h】

Food inspection using hyperspectral imaging and SVDD

机译：采用高光谱成像和SVDD的食物检查

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

摘要

Nowadays food inspection and evaluation is becoming significant public issue, therefore robust, fast, and environmentally safe methods are studied instead of human visual assessment. Optical sensing is one of the potential methods with the properties of being non-destructive and accurate. As a remote sensing technology, hyperspectral imaging (HSI) is being successfully applied by researchers because of having both spatial and detailed spectral information about studied material. HSI can be used to inspect food quality and safety estimation such as meat quality assessment, quality evaluation of fish, detection of skin tumors on chicken carcasses, and classification of wheat kernels in the food industry. In this paper, we have implied an experiment to detect fat ratio in ground meat via Support Vector Data Description which is an efficient and robust one-class classifier for HSI. The experiments have been implemented on two different ground meat HSI data sets with different fat percentage. Addition to these implementations, we have also applied bagging technique which is mostly used as an ensemble method to improve the prediction ratio. The results show that the proposed methods produce high detection performance for fat ratio in ground meat.
机译：如今，食品检验和评估正在成为显着的公共问题，因此研究了鲁棒，快速，环保的方法而不是人类视觉评估。光学感测是具有非破坏性和准确性的性质的潜在方法之一。作为遥感技术，高光谱成像（HSI）由研究人员成功应用，因为具有关于研究材料的空间和详细的光谱信息。 HSI可用于检查食品质量和安全估计，如肉类质量评估，鱼类质量评价，鸡胴体上的皮肤肿瘤，以及食品工业中的小麦核的分类。在本文中，我们已经暗示了通过支持向量数据描述来检测地面肉中脂肪比的实验，这是用于HSI的有效和强大的单级分类器。实验已经在两种不同的碎肉HSI数据集上实施，具有不同的脂肪百分比。除了这些实现之外，我们还应用了袋装技术，主要用作改善预测比的集合方法。结果表明，该方法的方法为碎肉中的脂肪比产生了高检测性能。

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