Multi-class Underwater Image Recognition Based on DSVM

Author:

Xu Jian,Zhang Gaoxing

Publisher

Springer Singapore

Reference17 articles.

1. Shi, X., Huang, H., et al.: Underwater cage boundary detection based on GLCM features by using SVM classifier. In: IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, vol. 2019-July, pp. 1169–1174 (2019)

2. Meng, X.: Research on Underwater Sea Cucumber Image Recognition Technology Based on Machine Vision. Shangdong University, Shandong (2020)

3. Dumke, I., et al.: Underwater hyperspectral imaging as an in situ taxonomic tool for deep-sea megafauna. Sci. Rep. 8(1), 1–11 (2018)

4. Abdullah, A., Veltkamp, R.C., et al.: An ensemble of deep support vector machines for image categorization. Soft Comput. Pattern Recog. 1, 301–306 (2009)

5. Lecture Notes in Computer Science;S Kim,2013

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