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Preliminary observations on computerized tomography-powered fractal dimension-based technique to differentiate between coprolites and body fossils


Affiliations
1 Nuclear Engineering and Technology Programme, Indian Institute of Technology Kanpur, Kanpur 208 016, India, India
2 Geological Studies Unit, Indian Statistical Institute, 203, Barrackpore Trunk Road, Kolkata 700 108, India; Department of Earth Sciences and Remote Sensing, JIS University, 81 Nilgunj Road, Kolkata 700 109, India, India
3 Geological Studies Unit, Indian Statistical Institute, 203, Barrackpore Trunk Road, Kolkata 700 108, India, India
 

This study presents a fossil signature based on fractal dimension (FD) derived from computerized tomogra­phy (CT) images to differentiate between coprolites and body fossils. Coprolites are generally studied using destructive techniques like thin section study and geoche­mistry. Coprolites and body fossils collected from the Triassic terrestrial Gondwana deposits of India were chosen for the study. The presented CT-powered FD-based digital signature can properly distinguish coprolites from other fossils, without losing the structural features of the samples. The present study will further enhance the digitalized fossil research
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  • Chin, K., Thin section analysis of lithified coprolites (fossil feces). Microsc. Microanal., 2007, 13, 50.

  • Konietzko-Meier, D. and Schmitt, A., A histological study of a femur of plagiosuchus, a Middle Triassic temnospondyl amphibian from southern Germany, using thin sections and micro-CT scanning. Neth. J. Geosci., 2013, 92, 97–108.

  • Maróti, B., Polonkai, B., Szilágyi, V., Kis, Z., Kasztovszky, Z., Szentmiklósi, L. and Székely, B., Joint application of structured-light optical scanning, neutron tomography and position-sensitive prompt gamma activation analysis for the non-destructive structural and compositional characterization of fossil echinoids. NDT & E Int., 2020, 115, 102295.

  • Ford, T. D. and O’Connor, B., Coprolite mining in England. Geol. Today, 2002, 18, 178–181.

  • Grove, R., Coprolite mining in Cambridgeshire. Agric. Hist. Rev., 1976, 24, 36–43.

  • Luo, M. et al., Taphonomy and palaeobiology of Early Middle Triassic coprolites from the Luoping biota, southwest China: implications for reconstruction of fossil food webs. Palaeogeogr., Palaeo-climatol., Palaeoecol., 2017, 474, 232–246.

  • Degiorgio, V., Mandelbrot, BB the fractal geometry of nature. Rivista di Scienza, 1984, 78(119).

  • Chen, C.-C., DaPonte, J. S. and Fox, M. D., Fractal feature analysis and classification in medical imaging. IEEE Trans. Med. Imag., 1989, 8, 133–142.

  • Uppal, S. O. et al., Pattern analysis of microtubule-polymerizing and -depolymerizing agent combinations as cancer chemotherapies. Int. J. Oncol., 2007, 31, 1281–1291.

  • Athe, P., Shakya, S., Munshi, P., Luke, A. and Mewes, D., Characterization of multiphase flow in bubble columns using KT-1 signature and fractal dimension. Flow Meas. Instrum., 2013, 33, 122–137.

  • Sarkar, S., Pandey, D., Rathore, K. and Munshi, P., Estimation of moisture content in edible pulses by the application of computerized tomography. NDE2015, Hyderabad, 2015, pp. 26–28.

  • Romaniuk, A. A. et al., Combined visual and biochemical analyses confirm depositor and diet for neolithic coprolites from Skara Brae. Archaeol. Anthropol. Sci., 2020, 12, 1–

  • Hunt, A. P. and Lucas, S. G., Crocodylian coprolites and the identification of the producers of coprolites. In Crocodyle Tracks and Traces (eds Milàn, J. et al.), New Mexico Museum of Natural History and Science, Bulletin 51, 2010, pp. 219–226.

  • Rakshit, N. and Ray, S., Bone‐bearing coprolites from the Upper Triassic of India: ichnotaxonomy, probable producers and predator–prey relationships. Pap. Palaeontol., 2022, 8, e1418.

  • Jain, S. L., Spirally coiled coprolites from the Upper Triassic Maleri formation, India. Palaeontology, 1983, 26, 813–

  • Schmitz, M. and Binda, P. L., Coprolites from the Maastrichtian Whitemud Formation of southern Saskatchewan: morphological classification and interpretation on diagenesis. Paläontol. Z., 1991, 65, 199.

  • Eriksson, M. E., Lindgren, J., Chin, K. and Månsby, U., Coprolite morphotypes from the Upper Cretaceous of Sweden: novel views on an ancient ecosystem and implications for coprolite taphonomy. Lethaia, 2011, 44, 455–468.

  • McAllister, J. A., Reevaluation of the formation of spiral coprolites, The University of Kansas Paleontological Contributions-Paper 114, 1985.

  • Felker, C. D. H., Middle Eocene shark coprolites from shallow marine and deltaic coasts of the pre-North Sea Basin in Central Europe. Vertebr. Coprolites: New Mexico Mus. Nat. Hist. Sci., Bull., 2012, 57, 311–318.

  • Dentzien-Dias, P. C., Poinar Jr, G., de Figueiredo, A. E., Pacheco, A. C., Horn, B. L. and Schultz, C. L., Tapeworm eggs in a 270 million-year-old shark coprolite. PLoS ONE, 2013, 8, e55007.

  • Sohn, I. and Chatterjee, S., Freshwater ostracodes from Late Triassic coprolite in Central India. J. Paleontol., 1979, 578–586.

  • Toghyani, S., Nasseh, I., Aoun, G. and Noujeim, M., Effect of image resolution and compression on fractal analysis of the periapical bone. Acta Inf. Med., 2019, 27(3), 167.


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  • Preliminary observations on computerized tomography-powered fractal dimension-based technique to differentiate between coprolites and body fossils

Abstract Views: 322  |  PDF Views: 144

Authors

Shubhabrata Sarkar
Nuclear Engineering and Technology Programme, Indian Institute of Technology Kanpur, Kanpur 208 016, India, India
Sanjukta Chakravorti
Geological Studies Unit, Indian Statistical Institute, 203, Barrackpore Trunk Road, Kolkata 700 108, India; Department of Earth Sciences and Remote Sensing, JIS University, 81 Nilgunj Road, Kolkata 700 109, India, India
Sudhir Kumar Chaudhary
Nuclear Engineering and Technology Programme, Indian Institute of Technology Kanpur, Kanpur 208 016, India, India
Dhurjati P. Sengupta
Geological Studies Unit, Indian Statistical Institute, 203, Barrackpore Trunk Road, Kolkata 700 108, India, India
Pankaj Wahi
Nuclear Engineering and Technology Programme, Indian Institute of Technology Kanpur, Kanpur 208 016, India, India
Prabhat Munshi
Nuclear Engineering and Technology Programme, Indian Institute of Technology Kanpur, Kanpur 208 016, India, India

Abstract


This study presents a fossil signature based on fractal dimension (FD) derived from computerized tomogra­phy (CT) images to differentiate between coprolites and body fossils. Coprolites are generally studied using destructive techniques like thin section study and geoche­mistry. Coprolites and body fossils collected from the Triassic terrestrial Gondwana deposits of India were chosen for the study. The presented CT-powered FD-based digital signature can properly distinguish coprolites from other fossils, without losing the structural features of the samples. The present study will further enhance the digitalized fossil research

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DOI: https://doi.org/10.18520/cs%2Fv123%2Fi7%2F933-938