Underwater Image Processing and Target Detection Algorithm Based on Deep Learning-Reference-Cited by-同舟云学术

Underwater Image Processing and Target Detection Algorithm Based on Deep Learning

Published:2022 Issue: Volume: Page:368-374
ISSN:2367-4512
Container-title:Application of Intelligent Systems in Multi-modal Information Analytics
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Author:

Zheng Yangning,Yang Yang

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-05484-6_46

Reference12 articles.

1. Kamel, I.R., Georgiades, C., Fishman, E.K.: Incremental value of advanced image processing of multislice computed tomography data in the evaluation of hypervascular liver lesions. J. Comput. Assist. Tomogr. 27(4), 652–656 (2017)

2. Membarth, R., Reiche, O., Hannig, F., et al.: HIPAcc: a domain-specific language and compiler for image processing. IEEE Trans. Parallel Distrib. Syst. 27(1), 210–224 (2016)

3. Vijayan, S., Geethalakshmi, S.N.: A survey on crack detection using image processing techniques and deep learning algorithms. Int. J. Pure Appl. Math. 118(8), 215–219 (2018)

4. Sowmiya, E.: A noval method for detecting plant leaf disease using image processing and deep learning. Turk. J. Comput. Math. Educ. (TURCOMAT) 12(2), 337–340 (2021)

5. Aoki, K.: Server for implementing image processing functions requested by a printing device. Environ. Pollut. 152(3), 543–552 (2018)

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