| Decomposition of biospeckle signals through granulometric size distribution. | |
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MedLine Citation:
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PMID: 19370117 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We present a method for the analysis of dynamic speckle signals based on morphological granulometry. We obtain selected information differentiating the morphological patterns of the temporal history of each pixel through the granulometric size distribution. The method is exemplified by detecting bruised regions on apples and studying the germination of corn seeds. Different levels of activity are observed in the bruised and healthy areas of the apple, within a certain range of the morphological spectrum. Likewise, the activity of the corn seed embryo can also be distinguished from the endosperm area. |
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Authors:
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Eduardo Blotta; Virginia Ballarin; Hector Rabal |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Optics letters Volume: 34 ISSN: 0146-9592 ISO Abbreviation: Opt Lett Publication Date: 2009 Apr |
Date Detail:
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Created Date: 2009-04-16 Completed Date: 2009-06-26 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7708433 Medline TA: Opt Lett Country: United States |
Other Details:
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Languages: eng Pagination: 1201-3 Citation Subset: IM |
Affiliation:
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Facultad de Ingenieria, Laboratorio de Procesos y Medicion de Senales, Mar del Plata, Argentina. eblotta@fi.mdp.edu.ar |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Fruit
/
chemistry,
cytology Optical Processes* Seeds / chemistry, cytology |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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