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EurOCEAN 2000 - Vlaams Instituut voor de Zee

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performance of normal PCs and the availability of huge disks (now 50 Gbytes), the use of<br />

normal PCs is really a serious option, although users less familiar with computers might want<br />

to use some remote server with a proper soft- and hardware maintenance. The three scenarios<br />

are:<br />

1) The use of image databases with taxonomic and ecological information that can be<br />

consulted if necessary, without an automatic i<strong>de</strong>ntification of diatoms. This is the simplest<br />

option that can be realised on normal PCs in which the databases are used as an electronic<br />

atlas that can grow and eventually replace the normal (paper) atlasses.<br />

2) An integrated system that combines the functionality of (1) with an automatic<br />

i<strong>de</strong>ntification such that the system is given an image of an unknown diatom and it outputs<br />

a sorted list with the best matches from the database. This system can also be <strong>de</strong>veloped on<br />

normal PCs and guarantees a 100% availability for the users.<br />

3) Users who don't need a 100% availability but only occasionally need to confirm their<br />

i<strong>de</strong>ntification or need ecological factors can have access to a server connected to the<br />

Internet as well as a powerful computer or even a supercomputer. The server only is a<br />

front-end to the (super)computer which is required because many users, world-wi<strong>de</strong>, can<br />

submit images and queries. Here there are two options: (a) sending an email with<br />

keywords (I<strong>de</strong>ntify Diatom) with an image in a certain format attached, upon which the<br />

server will respond by email, or (b) an interactive web-page with pre<strong>de</strong>fined queries and<br />

fields for entering file names and a link GO. Both options can be completely automatic,<br />

i.e. with no operator intervention.<br />

The <strong>de</strong>velopment of such products and services involves a lot of work, but their success<br />

critically <strong>de</strong>pends on two factors: (a) an i<strong>de</strong>ntification with a correct hit-rate beyond 95% and<br />

(b) the inclusion of all representative species from the real-world applications in the databases.<br />

In other words: ADIAC has still a long way to go!<br />

REFERENCES<br />

Barber, H.G. and Haworth, E.Y. (1981) A gui<strong>de</strong> to the morphology of the diatom frustule.<br />

Scient. publ. No. 44, The Freshwater Biological Association, The Ferry House, Far<br />

Sawrey, Amblesi<strong>de</strong>, Cumbria, UK.<br />

Cairns, J. et al. (1979) Determining the accuracy of coherent optical i<strong>de</strong>ntification of diatoms.<br />

Water Resour. Bull. 15(6), 1770-1775.<br />

Ciobanu, A., Shahbazkia, H. and du Buf, J.M.H. (<strong>2000</strong>a) Contour profiling by dynamic ellipse<br />

fitting. Proc. Int. Conf. on Pattern Recognition, Barcelona, 3-8 Sept., in press.<br />

Ciobanu, A., du Buf, J.M.H. and Bayer M. (<strong>2000</strong>b) Diatom contour i<strong>de</strong>ntification using<br />

syntactical features. In Prep.<br />

Culverhouse, P.F. et al. (1996) Automatic classification of field-collected dinoflagellates by<br />

artificial neural network. Marine Ecol. Prog. Ser. 138, 281-287.<br />

Fischer, S., Binkert, M. and Bunke, H. (<strong>2000</strong>) Feature based retrieval of diatoms in an image<br />

database using <strong>de</strong>cision trees. Accepted for the ACIVS, August.<br />

Leymarie, F. and Levine, M.D. (1988) Curvature morphology. Technical Report TR-CIM-88-<br />

26, Computer Vision and Robotics Laboratory, McGill University, Montreal, Quebec,<br />

Canada.<br />

Leyton, M. (1987) Symmetry-curvature duality. Comp. Vis. Graph. Image Proc. 38, 327-341.<br />

Pavlidis, T. (1980) Algorithms for shape analysis of contours and waveforms. IEEE Trans.<br />

Pattern Anal. Mach. Intell. 2, 301-312.<br />

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