论文信息 - Computerized classification system for the identification of soil microorganisms

Computerized classification system for the identification of soil microorganisms

The paper presents the method of soil microorganisms identification in the microscopic digital images. The solved task includes: segmentation, feature generation, selection of the most important features and the final recognition stage applying 5 different solutions of classifiers. The paper presents and discusses the results concerning the recognition of several most popular soil microorganisms. The proposed system is able to recognize the microorganisms with the accuracy around 99%.

[1] Yuhai Wu,et al. Statistical Learning Theory , 2021, Technometrics.

[2] M. Burge,et al. Digital Image Processing , 2016, Texts in Computer Science.

[3] 유정완,et al. Learning with Kernels , 2011 .

[4] P. S. Hiremath,et al. Identification and classification of cocci bacterial cells in digital microscopic images , 2011, Int. J. Comput. Biol. Drug Des..

[5] Margrit Betke,et al. Cell morphology classification and clutter mitigation in phase-contrast microscopy images using machine learning , 2011, Machine Vision and Applications.

[6] Pekka Ruusuvuori,et al. Efficient automated method for image-based classification of microbial cells , 2008, 2008 19th International Conference on Pattern Recognition.

[7] M Desco,et al. Automatic identification of Mycobacterium tuberculosis by Gaussian mixture models , 2006, Journal of microscopy.

[8] Thomas M. Cover,et al. Elements of Information Theory , 2005 .

[9] Huan Liu,et al. Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution , 2003, ICML.

[10] Anil K. Jain,et al. CMEIAS: A Computer-Aided System for the Image Analysis of Bacterial Morphotypes in Microbial Communities , 2001, Microbial Ecology.

[11] D. Sylvia. Principles and Applications of Soil Microbiology , 1997 .

[12] D. Signorini,et al. Neural networks , 1995, The Lancet.

[13] N. Sanginga,et al. Biological nitrogen fixation in trees in agro-ecosystems , 1992, Plant and Soil.