Open AccessTexture Classification of 3D MR Images using 2.5D Rank Filters
Author(s) -
Arun Kumar A*,
E. G. Rajan
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.h6973.1081219
Subject(s) - volume (thermodynamics) , computer science , computer vision , representation (politics) , polygon (computer graphics) , dimension (graph theory) , rank (graph theory) , artificial intelligence , computer graphics (images) , pattern recognition (psychology) , information retrieval , mathematics , physics , telecommunications , quantum mechanics , frame (networking) , combinatorics , politics , political science , pure mathematics , law
The 3-D items utilized in 3D computer games and augmented reality are empty polygon networks with surfaces concerned them. Then again, volume information portrayal stores the external surface highlights, yet in addition the highlights inside the volume. For instance, representation of 3-D MRI/CT information is tied in with appearing inside parts as well. Envisioning volumetric information requires more video memory. A large portion of the genuine 3D volume information created particularly by MRI scanners is dim dimension pictures. This paper tends to a novel system of texturizing the MRI information slides and its handling for extraction of shallow and volumetric highlights.