Abstract
Cellular Automata (CA) can be successfully applied to the task of image segmentation. The CA-based GrowCut algorithm is able to perform such a task and we aim to investigate the full emergence phenomenon that arises during the segmentation process. In fact, we want to investigate how the segmentation performance could depend on the choice of the neighbourhood topology that is used by a CA-based algorithm.
Several types of neighbourhoods are investigated. The experiments are performed by considering both synthetic and real-world images. The segmentation performance is analysed by using different criteria (evaluation measures). The numerical results indicate the way the neighbourhood topology influences the segmentation process.
Citare
Andreica A., Dioșan L., Șandor A., Investigation of Cellular Automata Neighbourhoods in Image Segmentation, 6th International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2016), 22nd European Conference on Artificial Intelligence (ECAI 2016), 2016, 1-8