RT journal article
T1 Improved heuristics for solving large-scale Scanning Transmission Electron Microscopy image segmentation using the ordered median problem
A1 Muñoz Ocaña, Juan Manuel
A1 Puerto, Justo
A1 Rodríguez Chía, Antonio Manuel
A2 Estadística e Investigación Operativa
K1 Ordered median function
K1 Heuristic
K1 Clustering
K1 Segmentation
AB The discrete ordered median problem can be applied in a wide variety of areas. The application of thisproblem in electron tomography image segmentation is currently being considered since high-quality imagesare obtained when this model is applied. However, its application means that a high computing time isrequired to obtain solutions for large-scale instances. The size of the images is of great importance in electrontomography experiments, since the larger the image size, the higher the quality of the image. With the goal ofreducing the computation times, this paper introduces different heuristic procedures to obtain feasible solutionsfor the ordered median problem that provide high-quality images in low computing times. Moreover, somenoticeable improvements for the heuristic techniques are developed, taking advantage of the particular versionsof the ordered median function that have been proven to be especially suitable for electron tomography imagesegmentation.
PB Elsevier
SN 0305-0548
YR 2024
FD 2024
LK http://hdl.handle.net/10498/32847
UL http://hdl.handle.net/10498/32847
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 11-nov-2026