Aerial image processing and object recognition
Identifieur interne : 006309 ( Main/Exploration ); précédent : 006308; suivant : 006310Aerial image processing and object recognition
Auteurs : Mohammed Sadgal [Maroc] ; Aziz El Fazziki [Maroc] ; Abdellah Ait Ouahman [Maroc]Source :
- The Visual Computer [ 0178-2789 ] ; 2005-02-01.
English descriptors
- KwdEn :
Abstract
Abstract: The processing of images representing natural scenes requires substantial elaboration at all levels: preprocessing, segmentation, recognition, and interpretation. These steps unmistakably influence the result quality of a vision system, so it must be endowed with some capabilities. We present here the vision problem in terms of internal organization and information management. The object is represented on a scale of categories and the task of the recognition algorithms is to find the most detailed category according to information extracted from the image. All tasks operate on one level. On this principle, we propose a model for the internal representation of a vision system, which tries to generalize the recognition of objects using categorization and cooperation.
Url:
DOI: 10.1007/s00371-004-0275-x
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: The processing of images representing natural scenes requires substantial elaboration at all levels: preprocessing, segmentation, recognition, and interpretation. These steps unmistakably influence the result quality of a vision system, so it must be endowed with some capabilities. We present here the vision problem in terms of internal organization and information management. The object is represented on a scale of categories and the task of the recognition algorithms is to find the most detailed category according to information extracted from the image. All tasks operate on one level. On this principle, we propose a model for the internal representation of a vision system, which tries to generalize the recognition of objects using categorization and cooperation.</div>
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