The novel technologies used in different application domains allow to obtain digital images with a high complex informative content. These meaningful information are expressed by textural skin that covers the objects represented inside the images. The textural information can be exploited to interpret the semantic meaning of the images themselves. This paper provides a mathematical characterization, based on texture analysis, of the basic objects contained in the layout of the NMR encephalic images (cerebral tissue, rest of skull, eventual abnormal mass, and background). By this characterization a prototype has been developed, which has allowed the achievement of three different targets: segmentation of the image layout in basic objects, identification of the eventual abnormal masses, characterization of the morphologic structures of the cerebral tissue. Copyright 2008 ACM.

The novel technologies used in different application domains allow to obtain digital images with a high complex informative content. These meaningful information are expressed by textural skin that covers the objects represented inside the images. The textural information can be exploited to interpret the semantic meaning of the images themselves. This paper provides a mathematical characterization, based on texture analysis, of the basic objects contained in the layout of the NMR encephalic images (cerebral tissue, rest of skull, eventual abnormal mass, and background). By this characterization a prototype has been developed, which has allowed the achievement of three different targets: segmentation of the image layout in basic objects, identification of the eventual abnormal masses, characterization of the morphologic structures of the cerebral tissue. Copyright 2008 ACM.

Encephalic NMR image analysis by textural interpretation / Avola, Danilo; Cinque, Luigi. - (2008), pp. 1338-1342. (Intervento presentato al convegno 23rd Annual ACM Symposium on Applied Computing, SAC'08 tenutosi a Fortaleza, Ceara nel 16 March 2008 through 20 March 2008) [10.1145/1363686.1363997].

Encephalic NMR image analysis by textural interpretation

Avola, Danilo
Primo
;
Cinque, Luigi
2008

Abstract

The novel technologies used in different application domains allow to obtain digital images with a high complex informative content. These meaningful information are expressed by textural skin that covers the objects represented inside the images. The textural information can be exploited to interpret the semantic meaning of the images themselves. This paper provides a mathematical characterization, based on texture analysis, of the basic objects contained in the layout of the NMR encephalic images (cerebral tissue, rest of skull, eventual abnormal mass, and background). By this characterization a prototype has been developed, which has allowed the achievement of three different targets: segmentation of the image layout in basic objects, identification of the eventual abnormal masses, characterization of the morphologic structures of the cerebral tissue. Copyright 2008 ACM.
2008
23rd Annual ACM Symposium on Applied Computing, SAC'08
The novel technologies used in different application domains allow to obtain digital images with a high complex informative content. These meaningful information are expressed by textural skin that covers the objects represented inside the images. The textural information can be exploited to interpret the semantic meaning of the images themselves. This paper provides a mathematical characterization, based on texture analysis, of the basic objects contained in the layout of the NMR encephalic images (cerebral tissue, rest of skull, eventual abnormal mass, and background). By this characterization a prototype has been developed, which has allowed the achievement of three different targets: segmentation of the image layout in basic objects, identification of the eventual abnormal masses, characterization of the morphologic structures of the cerebral tissue. Copyright 2008 ACM.
feature extraction; pattern recognition; texture analysis
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Encephalic NMR image analysis by textural interpretation / Avola, Danilo; Cinque, Luigi. - (2008), pp. 1338-1342. (Intervento presentato al convegno 23rd Annual ACM Symposium on Applied Computing, SAC'08 tenutosi a Fortaleza, Ceara nel 16 March 2008 through 20 March 2008) [10.1145/1363686.1363997].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/210490
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