223
Views
8
CrossRef citations to date
0
Altmetric
Research Article

Biodiversity image retrieval framework for monogeneans

, , &
Pages 19-33 | Received 21 Oct 2012, Accepted 03 Dec 2012, Published online: 08 Feb 2013

References

  • Addis , M. , Boniface , M. , Goodall , S. , Grimwood , P. , Kim , S. , Lewis , P. , Martinez , K. and Stevenson , A. 2003 . “ Sculpteur: Towards a new paradigm for multimedia museum information handling ” . In The Semantic Web – ISWC 2003 , Edited by: Fensel , D. , Sycara , K. and Mylopoulos , J. 582 – 596 . Berlin : Springer .
  • Andy , S. and James , B. 2010 . “ MonoDb Homepage ” . [updated at http://www.monodb.org/, accessed 2011]
  • Avril , S. 2005 . “ Ontology-based image annotation and retrieval ” . M.Sc. thesis, University of Helsinki .
  • Barnard , K. and Shirahatti , N. V. 2003 . “ A method for comparing content based image retrieval methods ” . In Internet Imaging IV. Proceedings of SPIE Edited by: Santini , S. S. and Schettini , R. Vol. 5018 , 1 – 8 .
  • Bo , H. , Dasmahapatra , S. , Lewis , P. and Shadbolt , N. 2003 . “ Ontology-based medical image annotation with description logics ” . In Tools with Artificial Intelligence, 2003. Proceedings of the 15th IEEE International Conference. IEEE Computer Society, Washington, DC, USA 77 – 82 .
  • Castañón , C. A.B. , Fraga , J. S. , Fernandez , S. , Gruber , A. and da Costa , L. F. 2007 . Biological shape characterization for automatic image recognition and diagnosis of protozoan parasites of the genus Eimeria . Pattern Recognition , 40 : 1899 – 1910 . doi: 10.1016/j.patcog.2006.12.006
  • Chatzichristofis , S. A. , Zagoris , K. , Boutalis , Y. S. and Papamarkos , N. 2010 . Accurate image retrieval based on compact composite descriptors and relevance feedback information . International Journal of Pattern Recognition and Artificial Intelligence , 24 : 207 – 244 . doi: 10.1142/S0218001410007890
  • Demner-Fushman , D. , Antani , S. , Simpson , M. and Thoma , G. R. 2009 . Annotation and retrieval of clinically relevant images . International Journal of Medical Informatics , 78 : e59 – e67 . doi: 10.1016/j.ijmedinf.2009.05.003
  • Deselaers , T. , Keysers , D. and Ney , H. 2004 . “ Classification error rate for quantitative evaluation of content-based image retrieval systems ” . In Proceedings of the Pattern Recognition, 17th International Conference on (ICPR ’04) Vol. 2 , 505 – 508 . Washington, DC, USA : IEEE Computer Society .
  • Deselaers , T. , Keysers , D. and Ney , H. 2008 . Features for image retrieval: an experimental comparison . Information Retrieval , 11 : 77 – 107 . doi: 10.1007/s10791-007-9039-3
  • EKEY . 2004 . “ Ekey – ” . In The Electronic Key for Identifying Freshwater Fishes [updated at http://digitalcorpora.org/corp/nps/files/govdocs1/054/054359.html, accessed 2009]
  • El-Naqa , I. , Yongyi , Y. , Galatsanos , N. P. , Nishikawa , R. M. and Wernick , M. N. 2004 . A similarity learning approach to content-based image retrieval: application to digital mammography . IEEE Transactions on Medical Imaging , 23 : 1233 – 1244 . doi: 10.1109/TMI.2004.834601
  • Fidel , R. 1997 . The image retrieval task: implications for the design and evaluation of image databases . New Review of Hypermedia and Multimedia , 3 : 181 – 199 . doi: 10.1080/13614569708914689
  • Gibson , D. I. , Bray , R. A. and Harris , E. A. 2005 . Host–Parasite Database of the Natural History Museum, London [updated at http://www.nhm.ac.uk/research-curation/scientific-resources/taxonomy-systematics/host-parasites/index.html, accessed 2010] (Compilers).
  • Hsu , W. , Antani , S. , Long , L. R. , Neve , L. and Thoma , G. R. 2009 . SPIRS: A web-based image retrieval system for large biomedical databases . International Journal of Medical Informatics , 78 ( 1 ) : S13 – S24 . , Suppl. doi: 10.1016/j.ijmedinf.2008.09.006
  • Hyvönen , E. , Harjula , P. A and Viljanen , K. A . 2002 . “ Representing metadata about web resources ” . In Semantic Web Kick-Off in Finland – Vision, Technologies, Research, and Applications , Edited by: Hyvönen , E. 47 – 75 . HIIT Publications, Helsinki, Finland .
  • Hyvönen , E. , Saarela , S. , Styrman , A. and Viljanen , K. 2003 . “ Ontology-based image retrieval ” . In Proceedings of WWW2003 15 – 27 . Budapest , , Hungary
  • Hua , J. 2009 . “ Study on the Performance Measure of Information Retrieval Models ” . In International Symposium on Intelligent Ubiquitous Computing and Education , 436 – 439 . Washington, DC, USA : IEEE Computer Society .
  • Imense . 2007 . “ Imense image search portal ” . [updated at http://imense.com/, accessed 2010]
  • Incogna . 2008 . “ Incogna image search ” . [updated at http://www.incogna.com, accessed 2010]
  • Kak , A. and Pavlopoulou , C. 2002 . “ Content-based image retrieval from large medical databases ” . In Proceedings of First International Symposium on 3D Data Processing Visualization and Transmission, 2002 , 138 – 147 . Washington, DC, USA : IEEE Computer Society .
  • Kozievitch , N. P. , Torres , R. D. , Andrade , F. , Murthy , U. , Fox , E. and Hallerman , E. 2010 . “ A teaching tool for parasitology: enhancing learning with annotation and image retrieval ” . In Research and Advanced Technology for Digital Libraries , Edited by: Lalmas , M. , Jose , J. , Rauber , A. , Sebastiani , F. and Frommholz , I. 466 – 469 . Berlin : Springer-Verlag .
  • Lassila , O. , Van Harmelen , F. , Horrocks , I. , Hendler , J. and Mcguinness , D. L. 2000 . The semantic web and its languages . Intelligent Systems and their Applications, IEEE , 15 : 67 – 73 . doi: 10.1109/5254.895864
  • Lemieux , A. and Parizeau , M. 2003 . “ Flexible multi-classifier architecture for face recognition systems ” . In Proceedings on the 16th International Conference on Vision Interface 1 – 8 .
  • Lim , L. H.S. 1995 . Bravohollisia bychowsky & Nagibina, 1970 and Caballeria bychowsky & Nagibina, 1970 (Monogenea, Ancyrocephalidae) from Pomadasys hasta (Bloch) (Pomadasyidae), with the description of a new attachment mechanism . Systematic Parasitology , 32 : 211 – 224 . doi: 10.1007/BF00008830
  • Lim , L. H.S. 1998 . Diversity of monogeneans in Southeast Asia . International Journal of Parasitology , 28 : 1495 – 1515 . doi: 10.1016/S0020-7519(98)00061-7
  • Lim , L. H.S. and Gibson , D. I. 2007 . Diplectanocotyla Yamaguti, 1953 (Monogenea: Diplectanoidea) from Megalops cyprinoides (Broussonet) (Teleostei: Megalopidae) off Peninsular Malaysia . Systematic Parasitology , 67 : 101 – 117 . doi: 10.1007/s11230-006-9075-1
  • Lim , L. H.S. and Gibson , D. I. 2010a . Species of Neohaliotrema Yamaguti, 1965 (Monogenea: Ancyrocephalidae) from the pomacentrid Abudefduf vaigensis (Quoy & Gaimard) off Pulau Langkawi, Malaysia, with a revised diagnosis of the genus and a key to its species . Systematic Parasitology , 77 : 107 – 129 . doi: 10.1007/s11230-010-9261-z
  • Lim , L. H.S. and Gibson , D. I. 2010b . “ Taxonomy, taxonomists & biodiversity ” . In Biodiversity-Biotechnology: Gateway to Discoveries, Sustainable Utilization and Wealth Creation Edited by: Manurung , R. , Zaliha , C. A. , Fasihuddin , B. A. and Kuek , C. 33 – 43 . Kuching, Sarawak , , Malaysia
  • Mallik , J. , Samal , A. and Gardner , S. L. 2007 . “ A content based pattern analysis system for a biological specimen collection ” . In Proceedings of the 7th IEEE International Conference on Data Mining Workshops , 237 – 244 . Washington, DC, USA : IEEE Computer Society .
  • Manning , C. , Raghavan , P. and Schütze , H. 2008 . Introduction to Information Retrieval , Cambridge : Cambridge University Press .
  • Mehtre , B. M. , Kankanhalli , M. S. and Wing Foon , L. 1997 . Shape measures for content based image retrieval: a comparison . Information Processing & Management , 33 : 319 – 337 . doi: 10.1016/S0306-4573(96)00069-6
  • Müller , H. , Müller , W. , Squire , D. M. , Marchand-Maillet , S. and Pun , T. 2001 . Performance evaluation in content-based image retrieval: overview and proposals . Pattern Recognition Letters , 22 : 593 – 601 . doi: 10.1016/S0167-8655(00)00118-5
  • Müller , H. , Michoux , N. , Bandon , D. and Geissbuhler , A. 2004 . A review of content-based image retrieval systems in medical applications – clinical benefits and future directions . International Journal of Medical Informatics , 73 : 1 – 23 . doi: 10.1016/j.ijmedinf.2003.11.024
  • Murthy , U. , Fox , E. A. , Chen , Y. , Hallerman , E. , Torres , R. D.S. , Ramos , E. J. and Falcao , T. R.C. 2009 . “ Superimposed image description and retrieval for fish species identification ” . In Proceedings of the 13th European Conference on Digital Libraries , Edited by: Agnosti , M. , Borbinha , J. , Kapidakis , S. , Papatheodorou , C. and Tsakonas , G. 285 – 296 . Heidelberg, Germany : Springer . (ECDL 2009). LNCS, Vol. 5714.
  • Nicola , A. D. , Missikoff , M. and Navigli , R. 2005 . “ A proposal for a Unified Process for ONtology building: UPON ” . In 16th International Conference on Database and Expert Systems Applications (DEXA 2005) , 655 – 664 . Springer, Heidelberg, Germany .
  • Rosa , N. A. , Felipe , J. C. , Traina , A. J.M. , Traina , C. , Rangayyan , R. M. and Azevedo-Marques , P. M. 2008 . “ Using relevance feedback to reduce the semantic gap in content-based image retrieval of mammographic masses ” . In Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE , 406 – 409 . IEEE, Washington, DC .
  • Rui , Y. , Huang , T. S. and Chang , S.-F. 1999 . Image retrieval: Current techniques, promising directions, and open issues . Journal of Visual Communication and Image Representation , 10 : 39 – 62 . doi: 10.1006/jvci.1999.0413
  • Sarinder , K. K.S. , Lim , L. H.S. , Merican , A. F. and Dimyati , K. 2010 . Biodiversity information retrieval across networked data sets . Aslib Proceedings , 62 : 514 – 522 . doi: 10.1108/00012531011074744
  • Scott , G. and Chi-Ren , S. 2007 . Knowledge-driven multidimensional indexing structure for biomedical media database retrieval . IEEE Transactions on Information Technology in Biomedicine , 11 : 320 – 331 . doi: 10.1109/TITB.2006.880551
  • Shandilya , S. K. and Singhai , N. 2010 . A survey on content based image retrieval systems . International Journal of Computer Applications , 4 : 22 – 26 .
  • Smeulders , A. W.M. , Worring , M. , Santini , S. , Gupta , A. and Jain , R. 2000 . Content-based image retrieval at the end of the early years . IEEE Transaction. Pattern Analysis Machine Intelligence , 22 : 1349 – 1380 . doi: 10.1109/34.895972
  • Tan , W. B. and Lim , L. H.S. 2009 . Trianchoratus longianchoratus sp. n. (Monogenea: Ancyrocephalidae: Heteronchocleidinae) from Channa lucius (Osteichthyes: Channidae) in Peninsular Malaysia . Folia Parasitologica , 56 : 180 – 184 .
  • TDWG . 2007 . “ TDWG LSID Vocabularies ” . [update at http://www.tdwg.org/, accessed 2010]
  • Wang , D. and Ma , X. 2005 . A hybrid image retrieval system with user's relevance feedback using neurocomputing . Informatica , 29 : 271 – 280 .
  • Wang , X. , Park , S. and Zheng , B. 2009 . Improving performance of content-based image retrieval schemes in searching for similar breast mass regions: an assessment . Physics in Medicine and Biology , 54 : 949 – 961 . doi: 10.1088/0031-9155/54/4/009
  • Yang , Y. S. , Park , D. K. , Kim , H. C. , Choi , M. H. and Chai , J. Y. 2001 . Automatic identification of human helminth eggs on microscopic fecal specimens using digital image processing and an artificial neural network . IEEE Transactions on Biomedical Engineering , 48 : 718 – 730 . doi: 10.1109/10.923789
  • You , D. , Antani , S. , Demner-Fushman , D. , Rahman , M. M. , Govindaraju , V. and Thoma , G. R. 2011 . “ Automatic identification of ROI in figure images toward improving hybrid (text and image) biomedical document retrieval ” . In Document Recognition and Retrieval XVIII , Edited by: Agam , G. and Viardgaudin , C. 78740K – 78740K . Bellingham, Washington, DC, USA : Society of Photographic Instrumentation Engineers (SPIE) – International Society for Optical Engineering .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.