Encephalic NMR image analysis by textural interpretation

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.

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.4 IMAGE PROCESSING AND COMPUTER VISION
      I.4.7 Feature Measurement

General Terms:
Algorithms, Design, Experimentation, Measurement

Keywords:
feature extraction, pattern recognition, texture analysis