T. Woods, S. Reed, S. His, W. John-y, and M. Woods, «Pilot Study Using the Augmented Reality Sandbox to Teach Topographic Maps and Surficial Processes in Introductory Geology Labs, Journal of Geoscience Education, vol.64, pp.199-214, 2016.

S. Giorgis, N. Mahlen, and K. Anne, «Instructor-Led Approach to Integrating an Augmented Reality Sandbox into a Large-Enrollment Introductory Geoscience Course for Nonmajors Produces No Gains, Journal of Geoscience Education, 2017.

S. Hijazi, R. Kumar-y, and C. Rowen, «Using Convolutional Neural Networks for Image Recognition,» Cadence, 2015.

S. Neha, J. Vibhor, and M. Anju, « An Analysis of Convolutional Neural Networks For Image Classification,» Procedia Computer Science, vol.132, pp.337-384, 2018.

D. Kaur-y and Y. Kaur, «Various Image Segmentation Techniques: A Review, International Journal of Computer Science and Mobile Computing, vol.3, issue.5, pp.809-814, 2014.

S. M. Raj, C. Jose-y, and M. H. Supriya, «Hardware realization of canny edge detection algorithm for underwater image segmentation using field programmable gate arrays, Journal of Engineering Science and Technology, vol.12, issue.9, pp.2536-2550, 2017.

A. O. Restrepo-rodriguez, D. E. Casas-mateus, P. A. Garcia, C. E. Montenegro-marin-y, and R. G. Crespo, Hyperparameter Optimization for Image Recognition over an AR-Sandbox Based on Convolutional Neural Networks Applying a Previous Phase of Segmentation by Color-Space,» Symmetry, vol.10, p.743, 2018.

W. Rui, L. Chao, W. Jie, W. Xiaoer, L. Yuehua et al., «Threshold segmentation algorithm for automatic extraction of cerebral vessels from brain magnetic resonance angiography images, Journal of Neuroscience Methods, vol.241, pp.30-36, 2015.

«. Opencv and . Detector,

A. Mordvintsev and K. Abid, «Image Segmentation with Watershed Algorithm,» OpenCV, 2013.

K. Zou, S. Warfield, A. Bharatha, C. Tempany, M. Kaus et al., «Statistical Validation of Image Segmentation Quality Based on a Spatial Overlap Index,» Radiology Alliance for, Health Services Research, 2004.

R. Shamir, Y. Duchin, J. Kim, G. Sapiro, and N. Harel, Continuous Dice Coefficient: A Method for Evaluating Probabilistic Segmentations,» Surgical Information Sciences, 2016.

R. Real and J. Vargas, «The Probabilistic Basis of Jaccard's Index of Similarity, » Systematic Biology, 1996.

J. Long and E. , Shelhamer y T. Darrell, «Fully Convolutional Networks for Semantic Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.39, pp.640-651, 2016.