Pyramid-based texture analysis/synthesis
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Topology correction of segmented medical images using a fast marching algorithm
Computer Methods and Programs in Biomedicine
Medical Image Segmentation Using Minimal Path Deformable Models With Implicit Shape Priors
IEEE Transactions on Information Technology in Biomedicine
Encephalic NMR Tumor Diversification by Textural Interpretation
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
A novel T-CAD framework to support medical image analysis and reconstruction
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
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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.