untitled
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<responseDate>2018-01-15T18:24:44Z</responseDate>
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<identifier>oai:HAL:hal-01278550v1</identifier>
<datestamp>2017-12-21</datestamp>
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<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>A Model for Selecting Relevant Elements in Plant Characterization.</title>
<title lang=en>A Model for Selecting Relevant Elements in Plant Characterization. : The Use of Mathematical Morphology in Extraction of Plant Elements in Natural Images.</title>
<creator>Nagau, Jimmy</creator>
<creator>Henry, Jean-Luc</creator>
<contributor>Laboratoire de Mathématiques Informatique et Applications (LAMIA) ; Université des Antilles et de la Guyane (UAG)</contributor>
<description>International audience</description>
<source>ISSN: 2309-0650</source>
<source>Journal of Pattern Recognition and Intelligent Systems</source>
<publisher>Hong Kong : World Academic Publishing</publisher>
<identifier>hal-01278550</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01278550</identifier>
<source>https://hal.archives-ouvertes.fr/hal-01278550</source>
<source>Journal of Pattern Recognition and Intelligent Systems, Hong Kong : World Academic Publishing, 2016, 4 (1), pp.1-13. 〈http://www.academicpub.org/pris/〉</source>
<source>http://www.academicpub.org/pris/</source>
<language>en</language>
<subject lang=en>Mathematical Morphology</subject>
<subject lang=en> Edge Detects</subject>
<subject lang=en> Focal Depth</subject>
<subject lang=en> Image Processing</subject>
<subject lang=en> Computer Vision</subject>
<subject>[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>In automatic image analysis, when using natural images, it is important to select the elements in a scene that can lead to correct characterization. Extraneous elements can result in poor values in the parameter evaluation for recognition. Irrelevant elements also increase the processing time, because they can be used incorrectly by the algorithms for characterization or identification. The goal of this paper is to offer identification algorithms and characterizations that will allow effective recognition. We base our procedure on the photographer focus areas to identify those relevant elements in a scene. In this work, we propose a procedure to select the relevant shape from natural images. The treatment uses focal depth with edge detectors. The resulting points are combined with a region partition to obtain relevant shapes.</description>
<date>2016-01</date>
</dc>
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