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Título: | Automatic slide scanning |
Otros títulos: | Slide scanning and autofocusing | Autor: | Pech-Pacheco, José L.; Cristóbal, Gabriel CSIC ORCID CVN | Palabras clave: | Image processing Pattern recognition Slide scanning Autofocusing Databasing Diatom identification Phycology Taxonomy Ecology |
Fecha de publicación: | 2002 | Editor: | World Scientific Publishing | Citación: | Automatic Diatom Identification / Hans Du Buf, Micha M. Bayer (Eds.), pp. 259-288 (2002) ADIAC (Automatic Diatom Identification And Classification) Final report |
Resumen: | In this chapter we describe an automatic slide scanning and autofocusing system that consists of three components. First, images are captured at low magnification. This yields a panoramic view of an entire slide which allows the extraction of the positions and sizes of all particles. Then, a particle screening is carried out at medium magnification, in order to eliminate particles that are not diatom-like, i.e. debris that does not comply with pre-defined selection criteria. This method selects about 80% of all usable valves. In a third step at high magnification, images of particles, mostly diatoms, are captured using autofocusing and multifocus fusion. The output of the systems is an annotated gallery of images that can be used for diatom identification. The main limitation of the automatic slide scanning system consists of the mechanical parts. The average time to position the motor-controlled microscope stage and to acquire an image is about 3 seconds. | Descripción: | 30 pages, 22 figures.-- ADIAC (Automatic Diatom Identification And Classification) Final report. | Versión del editor: | http://www.worldscibooks.com/compsci/4907.html | URI: | http://hdl.handle.net/10261/8931 | ISBN: | 981-02-4886-5 978-981-02-4886-4 |
Aparece en las colecciones: | (CFMAC-IO) Libros y partes de libros |
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slide.pdf | 4,1 MB | Adobe PDF | Visualizar/Abrir |
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