Membrane Computing is a biologically inspired computational model. Its devices are called P systems and they perform computations by applying a finite set of rules in a synchronous, maximally parallel way. In this paper, we develop a variant of P-system, called tissue-like P system in order to design in this computational setting, a region-based segmentation algorithm of 2D pixel-based and 3D voxel-based digital images. Concretely, we use 4-adjacency neighborhood relation between pixels in 2D and 6-adjacency neighborhood relation between voxel in 3D for segmenting digital images in a constant number of steps. Finally, specific software is used to check the validity of these systems with some simple examples.
Furthermore, in the work of REF , a tissuelike P system was proposed with the use of MC rules for the design of an edge-based segmentation algorithm in a constant number of steps.
Region-based segmentation of 2D and 3D images with tissue-like P systems
Pattern Recognit. Lett.
Pattern Recognit. Lett.
Computer Science Mathematics