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Multi-focal nematode image stack classification using a projection-based multi-linear method

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Abstract

In digital multi-focal images (DMIs), morphological and topological information for a transparent specimen can be captured in the form of a stack of high-quality images. We propose to use projection methods such as coefficient of variation projection to exploit the entire information of a given DMI stack using its projection images from different directions. Besides, multiple features extracted from the projection images along different directions are combined by using canonical correlation analysis. Because DMI stacks represent the effect of different factors—texture, the directions of projection, different instances within the same class and different classes of objects, we embed the projection method within a multi-linear analysis framework to propose a multiple direction projection-based multi-linear classification approach. The experimental results on the nematode data show that our proposed classifier can achieve very reliable recognition rate (98.5%) on a real-life database, even we only use the texture feature instead of the combination of texture and shape features as in a previous work.

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Acknowledgements

The authors would like to thank Prof. Amit Roy-Chowdhury from the Department of Electrical Engineering at the University of California, Riverside, for offering insightful suggestions on building the proposed classification framework. We gratefully acknowledge Prof. Paul De Ley from the College of Natural and Agricultural Sciences at the University of California, Riverside, for providing us the datasets on which results are shown. This work was supported by the National Natural Science Foundation of China under Grant 61301254 and 61771189.

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Authors and Affiliations

  1. College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, China

    Min Liu, Xueping Wang, Keran Liu & Xiaoyan Liu

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  1. Min Liu
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  2. Xueping Wang
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  3. Keran Liu
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  4. Xiaoyan Liu
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Correspondence to Min Liu.

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Liu, M., Wang, X., Liu, K. et al. Multi-focal nematode image stack classification using a projection-based multi-linear method. Machine Vision and Applications 29, 135–144 (2018). https://doi.org/10.1007/s00138-017-0881-z

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  • DOI: https://doi.org/10.1007/s00138-017-0881-z

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