caa a22 4500 467936927 CHVBK 20180406153000.0 cr unu---uuuuu 170328e20061001xx s 000 0 eng 10.1007/s00138-006-0035-1 doi (NATIONALLICENCE)springer-10.1007/s00138-006-0035-1 A model of diatom shape and texture for analysis, synthesis and identification [Elektronische Daten] [Y. Hicks, D. Marshall, P. Rosin, R. Martin, D. Mann, S. Droop] We describe tools for automatic identification and classification of diatoms that compare photographs with other photographs and drawings, via a model. Identification of diatoms, i.e. assigning a new specimen to one of the known species, has applications in many disciplines, including ecology, palaeoecology and forensic science. The model we build represents life cycle and natural variation of both shape and texture over multiple diatom species, derived automatically from photographs and/or drawings. The model can be used to automatically produce drawings of diatoms at any stage of their life cycle development. Similar drawings are traditionally used for diatom identification, and encapsulate visually salient diatom features. In this article, we describe the methods used for analysis of photographs and drawings, present our model of diatom shape and texture variation, and finish with results of identification experiments using photographs and drawings as well as a detailed evaluation. Springer-Verlag, 2006 Classification nationallicence Automatic drawing synthesis nationallicence Principal curves nationallicence Texture analysis nationallicence Diatoms nationallicence Hicks Y. Cardiff School of Engineering, Cardiff University, Queen's Buildings, P.O. Box 925, CF24 0YF, Cardiff, Wales, UK aut Marshall D. School of Computer Science, Cardiff University, Cardiff, UK aut Rosin P. School of Computer Science, Cardiff University, Cardiff, UK aut Martin R. School of Computer Science, Cardiff University, Cardiff, UK aut Mann D. Royal Botanic Garden Edinburgh, Edinburgh, UK aut Droop S. Royal Botanic Garden Edinburgh, Edinburgh, UK aut Machine Vision and Applications Springer-Verlag 17/5(2006-10-01), 297-307 0932-8092 17:5<297 2006 17 138 https://doi.org/10.1007/s00138-006-0035-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00138-006-0035-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hicks Y. Cardiff School of Engineering, Cardiff University, Queen's Buildings, P.O. Box 925, CF24 0YF, Cardiff, Wales, UK aut NATIONALLICENCE 700 1- Marshall D. School of Computer Science, Cardiff University, Cardiff, UK aut NATIONALLICENCE 700 1- Rosin P. School of Computer Science, Cardiff University, Cardiff, UK aut NATIONALLICENCE 700 1- Martin R. School of Computer Science, Cardiff University, Cardiff, UK aut NATIONALLICENCE 700 1- Mann D. Royal Botanic Garden Edinburgh, Edinburgh, UK aut NATIONALLICENCE 700 1- Droop S. Royal Botanic Garden Edinburgh, Edinburgh, UK aut NATIONALLICENCE 773 0- Machine Vision and Applications Springer-Verlag 17/5(2006-10-01), 297-307 0932-8092 17:5<297 2006 17 138 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer