- 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
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.