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Authors
# Name
1 Rodrigo Piva(rodrigo.piva@wikki.com.br)
2 Matheus Altomare Cruz(matheus.altomare@wikki.com.br)
3 Paola Braga(paola.braga@wikki.com.br)
4 Rodrigo Dias(rodrigo.dias@wikki.com.br)
5 Paulo Siqueira(paulo.costa@wikki.com.br)
6 Willian A. Trevizan(williantrevizan@petrobras.com.br)
7 Candida M. de Jesus(candida.jesus@petrobras.com.br)
8 André Moreira Souza(andre.moreira.souza@usp.br)
9 Rodrigo Salvador(salvador@ic.uff.br)
10 Leandro Fernandes(laffernandes@ic.uff.br)
11 Flávia C. Bernardini(fcbernardini)
12 Elaine Sousa(parros@icmc.usp.br)
13 Daniel de Oliveira(danielcmo@ic.uff.br)
14 Marcos Bedo(marcosbedo@id.uff.br)

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Reference
# Reference
1 Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., and S¨usstrunk, S. (2012). SLIC Superpixels Compared to State-of-the-Art Superpixel Methods. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(11):2274–2282.
2 Brekke, H., MacEachern, J. A., Roenitz, T., and Dashtgard, S. E. (2017). The use of microresistivity image logs for facies interpretations: An example in point-bar deposits of the McMurray Formation, Alberta, Canada. AAPG Bulletin, 101(5):655–682.
3 Gonzalez, R. and Wintz, P. (1977). Digital Image Processing. Advanced book program: Addison-Wesley. Addison-Wesley Publishing Company, Advanced Book Program.
4 Kamalian, S., Lev, M. H., and Gupta, R. (2016). Chapter 1 - Computed tomography imaging and angiography – principles. In Masdeu, J. C. and González, R. G., editors, Handbook of Clinical Neurology, volume 135 of Neuroimaging Part I, pages 3–20. Elsevier.
5 Lai, J., Wang, G., Wang, S., Cao, J., Li, M., Pang, X., Han, C., Fan, X., Yang, L., He, Z., and Qin, Z. (2018). A review on the applications of image logs in structural analysis and sedimentary characterization. Marine and Petroleum Geology, 95:139–166.
6 Nian, T., Wang, G., and Song, H. (2017). Open tensile fractures at depth in anticlines: A case study in the Tarim basin, NW China. Terra Nova, 29(3):183–190.
7 Perlin, K. (1985). An image synthesizer. In Proceedings of the 12th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH ’85, page 287–296, New York, NY, USA. Association for Computing Machinery.
8 Schubert, E., Sander, J., Ester, M., Kriegel, H. P., and Xu, X. (2017). DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN. ACM Transactions on Database Systems, 42(3):19:1–19:21.
9 Simonyan, K. and Zisserman, A. (2014). Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556.