Medical Image Segmentation Using Texture Directional Features

Abstract

Medical image segmentation can often be performed through tissue texture analysis. One of the most recent and interesting ideas to do that is to take into account the distribution of local maximum orders. We have followed up this idea by using directional maximums and we have applied it to tissue differentiation. Two problems are emerging now: one is the identification of a given texture (labeling) and another one is the characterization of the different areas within images (segmentation). In this paper, we present our new approach for texture representation and analysis, and we point out the advances and problems involved in the image segmentation process.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA411162

Entities

People

  • J. M. Boi
  • J. Sequeira
  • S. Mavromatis

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Classification
  • Computer Vision
  • Data Sets
  • Directional
  • Image Segmentation
  • Military Research
  • Societies
  • Test And Evaluation
  • Universities
  • X-Ray Computed Tomography

Fields of Study

  • Computer science

Readers

  • Computer Vision.