Open Access3D AUTOCUT: a 3D segmentation algorithm based on cellular automata
Author(s) -
Neto E.C.,
Cortez P.C.,
Rodrigues V.E.,
Cavalcante T.S.,
Valente I.R.S.
Publication year - 2017
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2017.2776
Subject(s) - segmentation , cellular automaton , computer science , automaton , algorithm , space (punctuation) , image segmentation , scale space segmentation , rgb color model , artificial intelligence , pattern recognition (psychology) , operating system
An improved 3D cellular automaton segmentation algorithm is proposed. The purpose is to create a tri‐directional automaton in order to segment 3D volumes. The improvement is that a force is created in the RGB space in order to improve the result of the 3D algorithm. Experiments on several synthetic volumes have shown that the proposed method achieves better segmentation results and efficiency than the other methods.