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  • 主管单位:
  • 中国科学技术协会
  • 主办单位:
  • 中国仪器仪表学会、上海光学仪器研究所、中国光学学会工程光学专业委员会
  • 主  编:
  • 庄松林
  • 地  址:
  • 上海市军工路516号上海理工大学《光学仪器》编辑部
  • 邮政编码:
  • 200093
  • 联系电话:
  • 021-55270110
  • 电子邮件:
  • gxyq@usst.edu.cn
  • 国际标准刊号:
  • 1005-5630
  • 国内统一刊号:
  • 31-1504/TH
  • 邮发代号:
  • 单  价:
  • 15.00
  • 定  价:
  • 90.00
基于迁移学习的单目菌落深度提取算法
Monocular colony depth extraction algorithms based on transfer learning
投稿时间:2019-10-09  
DOI:10.3969/j.issn.1005-5630.2020.02.007
中文关键词:  菌落挑选  单目视觉  深度估计  迁移学习
英文关键词:colony selection  monocular vision  depth estimation  transfer learning
基金项目:
作者单位E-mail
邓相舟 上海理工大学 光电信息与计算机工程学院上海 200093  
张荣福 上海理工大学 光电信息与计算机工程学院上海 200093 zhangrongfu@usst.edu.cn 
摘要点击次数: 147
全文下载次数: 195
中文摘要:
      高通量菌落挑选仪是生物制药行业中菌种筛选的重要设备,但其只能识别二维位置信息。为了解决菌落的三维信息提取问题,提出基于迁移学习的单目成像菌落深度提取算法。该算法以残差网络为基础,结合多尺度的网络结构提取特征,采用无监督的迁移学习训练方式,使网络能够估计菌落深度信息。实验结果表明,该算法的平均相对误差为0.171,均方根误差为6.198,对数均方根误差为0.256,在1.25阈值下的预测准确率提高到了76.4%,算法能够同时获取菌落深度信息及其表面特征,为进一步提高筛选精度和有效挑选菌落提供了参考。
英文摘要:
      High-throughput colony sorter is an important equipment for bacteria screening in the biopharmaceutical industry. It uses colony image for intelligent identification and selection, but at present, the equipment only recognizes two-dimensional location information. In order to solve the problem of three-dimensional colony information extraction, this paper proposes a monocular image colony depth extraction algorithm based on transfer learning. The algorithm is based on residual network, combined with multi-scale network structure to extract features, and adopts unsupervised transfer learning training mode, so that the network can estimate the colony depth information. The experimental results show that the average relative error of the algorithm is 0.171, the root mean square error is 6.198, and the log root mean square error is 0.256. The accuracy of the results under the threshold value of 1.25 is increased to 76.4%. The algorithm can obtain the depth information and surface characteristics of the colony at the same time, which provides a referencefor further improving the screening accuracy and effectively selecting the colony.
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