Taxonomic resolution of coral image classification with Convolutional Neural Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Aquatic Science,Ecology, Evolution, Behavior and Systematics
Link
https://link.springer.com/content/pdf/10.1007/s10452-022-09988-0.pdf
Reference116 articles.
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2. Alonso I, Cambra A, Munoz A, Treibitz T, Murillo AC (2017) Coral-segmentation: training dense labeling models with sparse ground truth. In: Proceedings IEEE international conference on computer vision workshops pp 2874–2882. https://doi.org/10.1109/ICCVW.2017.339
3. Ani Brown Mary N, Dejey D (2018a) Coral reef image/video classification employing novel octa-angled pattern for triangular sub-region and pulse-coupled convolutional neural network (PCCNN). Multimed Tools Appl 77(24):31545–31579. https://doi.org/10.1007/s11042-018-6148-5
4. Ani Brown Mary N, Dejey D (2018b) Classification of coral reef submarine images and videos using a novel Z with tilted Z local binary pattern (Z⊕TZLBP). Wireless Pers Commun 98(3):2427–2459. https://doi.org/10.1007/s11277-017-4981-x
5. Azwin N, Noratiqah S, Din NM, Abd Almisreb A (2019) A Taxonomy for coral reef classification components. Int J Adv Sci Technol 81:3292–3297
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