2026-05-28T09:29:30Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/128442026-02-03T10:24:47Zcom_10630_1685col_10630_38055

00925njm 22002777a 4500 dc Belani, Sanjay Prem author 2017-01-31 Over many years algorithms have been proposed as methods for the segmentation of images. Everytime the work has been improved and optimized for better results with much faster algorithms and newer ways to adapt the algorithm to the needs of real world requirements. In this article we use the Growing Neural Gas on RGB images and carry out various forms of experimentations to analyze the segmentation of RGB images by this novel algorithm. There are two phases to the segmentation process where in the rst phase the input data is learnt by the neural network to produce a model, and later the second phase includes the exploitation of this model to produce the segmented images. Experimentations include changing the factors that a ect the algorithm and also the segmentation process. http://hdl.handle.net/10630/12844 Procesado de imágenes Informática - Trabajos Fin de Grado Grado en Ingeniería Informática - Trabajos Fin de Grado Image segmentation with the growing neural gas