Impact evaluation of deep learning on image segmentation for automatic bluefin tuna sizing

Author:

Muñoz-Benavent P.,Martínez-Peiró J.,Andreu-García G.,Puig-Pons V.,Espinosa V.,Pérez-Arjona I.,De la Gándara F.,Ortega A.

Publisher

Elsevier BV

Subject

Aquatic Science

Reference43 articles.

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3. ICCAT. (2015). Recommendation by ICCAT amending the recommendation 13–07 by ICCAT to establish a multi-annual recovery plan for Bluefin Tuna in the eastern Atlantic and Mediterranean. Rec [14–04]. In 2015 Compendium management recommendations and resolutions adopted by ICCAT for conservation of Atlantic tunas and tuna-like species (pp. 47–82).

4. Arthur, D., Vassilvitskii, S. (2006). k-means++: The Advantages of Careful Seeding. 〈http://ilpubs.stanford.edu:8090/778〉.

5. Active contours without edges;Chan;IEEE Trans. Image Process.,2001

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