RT Generic
T1 Image segmentation with the growing neural gas
A1 Belani, Sanjay Prem
K1 Procesado de imágenes
K1 Informática - Trabajos Fin de Grado
K1 Grado en Ingeniería Informática - Trabajos Fin de Grado
AB Over many years algorithms have been proposed as methods for the segmentation ofimages. Everytime the work has been improved and optimized for better results withmuch faster algorithms and newer ways to adapt the algorithm to the needs of real worldrequirements. In this article we use the Growing Neural Gas on RGB images and carry outvarious forms of experimentations to analyze the segmentation of RGB images by this novelalgorithm. There are two phases to the segmentation process where in the  rst phase theinput data is learnt by the neural network to produce a model, and later the second phaseincludes the exploitation of this model to produce the segmented images. Experimentationsinclude changing the factors that a ect the algorithm and also the segmentation process.
YR 2017
FD 2017-01-31
LK http://hdl.handle.net/10630/12844
UL http://hdl.handle.net/10630/12844
LA spa
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026