Otolith Recognition System Using a Normal Angles Contour

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• 关键词：Otoliths ; Shape analysis ; Otolith recognition and classification ; Neural network ; Normal angles ; Fourier descriptors ; 8 ; connected contour
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9680
• 期：1
• 页码：30-39
• 全文大小：1,229 KB
• 参考文献：1.El habouz, Y., Es-saady, Y., Elyassa, M., Mammass, D., Nouboud, F., Chalifour, A., El habouz, H., Manchih, K.A.: A new otolith recognition system based on image contour analysis. J. Entomol. Zool. Stud. 4(1), 580–590 (2016)
  2.Schmidt, W.: The otoliths as a means for differentiation between species of fish of very similar appearance. In: Proceedings of the Symposium Oceanog, Fish. Res. Trop. Atl., UNESCO, FAO, OAU, pp. 393–396 (1969)
  3.El habouz, Y., Es-saady, Y., Elyassa, M., Mammass, D., Nouboud, F., Chalifour, A., Manchihn, K.: Recognition of otoliths having a high shape similarity. J. Theor. Appl. Inf. Technol. 84(1), 19–23 (2016)
  4.El habouz, Y., Es-saady, Y., Elyassa, M., Mammass, D., Nouboud, F., Chalifour, A. Otolith identification system based on image contour analysis. In: 5th International Otolith Symposium (IOS 2014), Mallorca, Spain (2014)
  5.Platt, C., Popper, A.N.: Hearing and Sound Communication in Fishes. In: Tavolga, A.N., Popper, A.N., Fay, R.R. (eds.) Fine structure and function of the ear. Proceedings in Life Sciences. Springer, New York (1981)CrossRef
  6.Denison, R., Zangerl, R., Capetta, H., Norlf, D., Stahl, B. J, Mrss, T., Turner, S., Karatajute-Talimaa, V.N.: Handbook of Paleoichthyology: Otolith piscium, vol. 10. Verlag Dr. F. Pfeil ed., p. 145 (2007)
  7.Frost, K.J., Lowry, L.F.: Trophic importance of some marine gadids in Northern Alaska and their body-otolith size relationships. Fish. Bull. 79(1), 87–192 (1981)
  8.Lombarte, A., Chic, Ó., Parisi-Baradad, V., Olivella, R., Piera, J., Garcia-Ladona, E.: A web-based environment for shape analysis of fish otoliths. The AFORO database. Scientia 70, 147–152 (2006)
  9.Harbitz, A., Albert, O.T.: Pitfalls in stock discrimination by shape analysis of otolith contours. ICES J. Mar., Sci. 72(7), 2090–2097 (2015)CrossRef
  10.Reig-Bola, R., Marti-Puig, P., Rodrguez, S., Bajo, J., Parisi-Baradad, V., Lombarte, A.: Otoliths Identifiers Using Image Contours EFD. In: de Leon F. de Carvalho, A.P., Rodríguez-González, S., De Paz Santana, J.F., Corchado Rodríguez, J.M. (eds.) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol. 79, pp. 9–16. Springer, Heidelberg (2010)CrossRef
  11.Keating, J.P., Brophy, D., Officer, R.A., Mullins, E.: Otolith shape analysis of blue whiting suggests a complex stock structure at their spawning grounds in the Northeast Atlantic. Fish. Res. 157, 16 (2014)CrossRef
  12.Jonsdottir, I.G., Campana, S.E., Marteinsdottir, G.: Otolith shape and temporal stability of spawning groups of Icelandic cod (Gadusmorhua L.). ICES J. Mar. Sci. 63, 1501–1512 (2006)CrossRef
  13.Kuhl, F.P., Giardina, C.R.: Elliptic features of a closed contour. Comput. Graph. Image Process. 18, 237–258 (1982)CrossRef
  14.Chalifour, A., Beauchemin, S., Bose, P., Nouboud, F.: Analyse morphologique des filets de tricoptres: un problme dcotoxicologie et de gomtrie discrte. Vision Interface 1998, Van-couver, pp. 479–486 (1998)
  15.Perez, J., Vidal, E.: Optimum polygonal approximation of digitized curves. Pattern Recogn. Lett. 15(8), 743–750 (1994)CrossRef MATH
  16.Huang, L.K., Wang, M.J.J.: Efficient shape matching through model-based shape recognition. Pattern Recogn. 29(2), 207–215 (1996)CrossRef
  17.Freeman, H.: On the encoding of arbitrary geometric configurations. Electron. Comput. IEEE Trans. Comput. 10(2), 260–268 (1961)MathSciNet CrossRef
  18.Siddour, A., Nouboud, F., Mammass, D., Chalifour, A. et Campeau, S.: Classification des diatomes par les descripteurs de Fourier du contour. e-TI La revue lectronique des technologies d’information, numro 4 (2007)
  19.Basheer, I.A., Hajmeer, M.: Artificial neural networks: fundamentals, computing, design, and application. J. Microbiol. Methods 43(1), 3–31 (2000)CrossRef
  
• 作者单位：El Habouz Youssef (19)
  Es-saady Youssef (19)
  El Yassa Mostafa (19)
  Mammass Driss (19)
  Nouboud Fathallah (20)
  Chalifour Alain (20)
  Manchih Khalid (21)
  
  19. IRF-SIC Laboratory, University Ibn Zohr, Agadir, Morocco
  20. LIRIC, Université du Québec à Trois-Rivières, Québec, Canada
  21. Laboratory of Biology and Ecology of the National Fisheries Research Institute, Casablanca, Morocco
  
• 丛书名：Image and Signal Processing
• ISBN：978-3-319-33618-3
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9680

文摘

The proposed approach aims to develop an automatic recognition system of fish species based on otolith shape analysis. From the 8-connected external contour of each otolith we extract the normal angles contour and then we represent it with Fourier coefficients. These coefficients are used to identify the classes of the otoliths using a neural network classification method. The approach was tested over 450 otolith images belonging to 15 species originated from a Moroccan Atlantic Ocean area. This database was collected and prepared in collaboration with the National Institute of Fisheries Research (INRH, Morocco). The experimental results showed a promising approach to classify otoliths.