Código SNIES del Programa: 101686
Registro calificado: Resolución 5905 del 7 de junio de 2019, vigencia 7 años
esenfrdeitpt

Repositorio de Tesis Doctoral

DEVELOPMENT OF AN ALTERNATIVE METHOD FOR MULTISPECTRAL IMAGE SEGMENTATION BASED ON CARTESIAN COMPLEXES AND ITS ASSOCIATED ORIENTED MATROIDS

  • Visto 338 veces

Información adicional

  • NOMBRE DE TESIS DOCTORAL: DEVELOPMENT OF AN ALTERNATIVE METHOD FOR MULTISPECTRAL IMAGE SEGMENTATION BASED ON CARTESIAN COMPLEXES AND ITS ASSOCIATED ORIENTED MATROIDS
  • AUTOR: MSc. José Antonio Valero Medina
  • DIRECTOR: Dr. Iván Lizarazo Salcedo
  • Resumen::

    In digital image analysis, a strategy used to address spatial and topological properties is to define image objects, as they are known in the remote sensing community, grouping pixels as coarser geometric space elements or super pixels. This process is known as image segmentation. In this process it is common to group near pixels based on (a, b)-connected graphs as neighbourhood definitions. Such an approach, however, cannot meet some topological axioms needed to ensure a correct representation of connectedness relationships. Super pixel boundaries may present ambiguities because one-dimensional contours are represented by pixels, which are 2-dimensional. The inherent complexity of segmentation algorithms along with the high volume of data of the high resolution images, demand considerable computing resources.

CECAD

Access Grid

Sala de Investigadores

Red RITA

Log in