masterThesis
Segmentação fuzzy de objetos tridimensionais com propriedades texturais
Fecha
2014-09-25Registro en:
SILVA NETO, José Francisco da. Segmentação fuzzy de objetos tridimensionais com propriedades texturais. 2014. 50f. Dissertação (Mestrado em Sistemas e Computação) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2014.
Autor
Silva Neto, José Francisco da
Resumen
Digital image segmentation is the process of assigning distinct labels to different objects
in a digital image, and the fuzzy segmentation algorithm has been used successfully
in the segmentation of images from several modalities. However, the traditional fuzzy
segmentation algorithm fails to segment objects that are characterized by textures whose
patterns cannot be successfully described by simple statistics computed over a very restricted
area. In this paper we present an extension of the fuzzy segmentation algorithm
that achieves the segmentation of textures by employing adaptive affinity functions as
long as we extend the algorithm to tridimensional images. The adaptive affinity functions
change the size of the area where they compute the texture descriptors, according
to the characteristics of the texture being processed, while three dimensional images can
be described as a finite set of two-dimensional images. The algorithm then segments the
volume image with an appropriate calculation area for each texture, making it possible
to produce good estimates of actual volumes of the target structures of the segmentation
process. We will perform experiments with synthetic and real data in applications such
as segmentation of medical imaging obtained from magnetic rosonance