J. Calvino, M. López Haro, J. M. Muñoz Ocaña, J. Puerto, A. M. Rodríguez Chía
Electron tomography is a technique for imaging three-dimensional structures of materials at nanometer scale. Nano-objects are reconstructed using projections provided by an electron microscope from different tilt angles in order to identify the elements that constitute the object under study. This recognition procedure is known as segmentation which consists in classifying the image intensities into different clusters.
The main idea of this work is to apply the discrete ordered median problem in the fiel of electron tomography to classify the pixels that constitute the images. We show specific formulations taking advantage of the problem structure depending on the image characteristics. These formulations provide good results in terms of segmentation quality and computing time.
Palabras clave: Location, ordered median function, clustering
Programado
GT01 Localización I. Applications
7 de junio de 2022 16:50
A15
